Method And System For Context-Aware Photoacoustic Imaging
20230248244 · 2023-08-10
Inventors
- Niklas HOLZWARTH (Heidelberg, DE)
- Kris DREHER (Heidelberg, DE)
- Melanie SCHELLENBERG (Heidelberg, DE)
- Jan-Hinrich NÖLKE (Dossenheim, DE)
- Janek GRÖHL (Mannheim, DE)
- Lena Maier-Hein (Heidelberg, DE)
Cpc classification
A61B5/0095
HUMAN NECESSITIES
A61B5/0077
HUMAN NECESSITIES
A61B8/4416
HUMAN NECESSITIES
A61B5/0073
HUMAN NECESSITIES
A61B5/0035
HUMAN NECESSITIES
A61B2560/0431
HUMAN NECESSITIES
A61B5/0075
HUMAN NECESSITIES
International classification
Abstract
Disclosed herein are a method and apparatus for photoacoustic imaging (PAI) or ultrasound (US) imaging of biological tissue (18). The method comprises recording 2D-PAI and/or US images (46) of said biological tissue (18), each 2D-PAI or US image (46) being associated with a corresponding image plane (38), providing, prior to recording said 2D-PAI or US images (46) of said biological tissue (18), an optical pattern (28, 40) on or close to a surface of said biological tissue, said optical pattern (28, 40) comprising one or more optical dyes configured for absorbing light at a pattern-characteristic wavelength. The optical pattern (28, 40) is configured such that the location of the image plane (38) with respect to the optical pattern (28, 40) can be determined at least approximately from said representation of the optical pattern (28, 40) in said 2D-PAI image (46) and/or that the relative location of consecutively taken 2D-PAI images (46) with respect to each other can be at least approximately determined.
Claims
1. A method of photoacoustic imaging (PAI) or ultrasound (US) imaging of biological tissue (18), in particular a body part, said method comprising: recording 2D-PAI and/or US images (46) of said biological tissue (18), each 2D-PAI or US image (46) being associated with a corresponding image plane (38), characterized in that said method further comprises providing, prior to recording said 2D-PAI or US images (46) of said biological tissue (18), an optical pattern (28, 40) on or close to a surface of said biological tissue, said optical pattern (28, 40) comprising one or more optical dyes configured for absorbing light at a pattern-characteristic wavelength, and wherein said method comprises recording 2D-PAI images (46) using pattern-imaging light pulses (30) having a pattern-characteristic wavelength for which the absorption by said one or more dyes is sufficiently high such that said optical pattern (28, 40) is visibly represented in said 2D-PAI images (46), wherein said optical pattern (28, 40) is configured such that the location of the image plane (38) with respect to the optical pattern (28, 40) can be determined at least approximately from said representation of the optical pattern (28, 40) in said 2D-PAI image (46) and/or that the relative location of consecutively taken 2D-PAI images (46) with respect to each other can be at least approximately determined, wherein said method further comprises determining one or both of the location of the image plane (38) of each given 2D-PAI or US image (46) of said biological tissue (18) with respect to the optical pattern (28, 40), and the relative location of consecutively taken 2D-PAI or US images (46) from the representation of the optical pattern (28, 40) in said given 2D-PAI image(s) (46), or in one or more 2D-PAI images (46) recorded while a PAI probe (12) is in the same position or a position close to the position in which the given 2D-PAI or US image(s) (46) of said biological tissue (18) is recorded.
2. The method of claim 1, wherein recording said 2D-PAI images (46) of said biological tissue (18) comprises irradiating tissue-imaging light pulses (20) into said tissue (18) using said PAI probe (12), said tissue-imaging light pulses (20) having tissue-characteristic wavelengths to be absorbed in said biological tissue (18), receiving pressure waves (22), in particular ultrasonic waves generated upon absorption of said tissue-imaging light pulses (20) in said tissue (18) using said PAI probe (12) and converting said received ultrasonic waves (22) into electrical signals, and constructing 2D images (46) from said electrical signals, said 2D images (46) representing the space-resolved absorption of said tissue imaging-light pulses (20) in a sectional image plane (28) within the tissue (18).
3. The method of claim 1 or 2, wherein said determined location of the image plane (38) of said given 2D-PAI/US image (46) is used for one or more of constructing a 3D image from a plurality of 2D-PAI/US images (46), targeting a specific anatomical location at different points in time, and registering the 2D-PAI/US image (46) with imaging data obtained with another imaging modality.
4. The method of one of the preceding claims, wherein said optical pattern (28, 40) extends in at least one two-dimensional pattern plane, wherein said step of determining the location of the image plane (38) of each given 2D-PAI/US image (46) of said biological tissue (18) with respect to the optical pattern (28, 40) comprises determining a sectional line along which the image plane (38) of said 2D-PAI/US image (46) and said at least one pattern plane intersect with each other.
5. The method of one of the preceding claims, wherein said PA-probe (12) is placed on the surface of the biological tissue (18), in particular the skin of a body part such that the 2D-PAI/US image (38) plane is at least approximately perpendicular to the two-dimensional pattern plane.
6. The method of one of the preceding claims, wherein said optical pattern (40) has a three-dimensional structure, extending in at least one two-dimensional pattern plane (42, 44) and additionally in a thickness direction perpendicular to said pattern plane (42, 44), wherein said step of determining the location of the image plane (38) of each given 2D-PAI/US image (46) of said biological tissue (18) with respect to the optical pattern (40) amounts to determining a sectional plane (48) along which the image plane (38) of said 2D-PAI/US image (46) and said three-dimensional pattern structure (40) intersect with each other.
7. The method of claim 6, wherein said optical pattern (40) extends in two or more two-dimensional pattern planes (42, 44) spaced from each other in thickness direction, wherein said step of determining the location of the image plane (38) of each given 2D-PAI/US image (46) of said biological tissue (18) with respect to the optical pattern (40) comprises determining a sectional line along which the image plane (38) of said 2D-PAI/US image (46) and one of said at least two pattern planes (42, 44) intersect with each other, as well as a step of determining an angle between said one pattern plane (42, 44) and said image plane (38) of said given 2D-PAI/US image (46) of said biological tissue (18) based on at least one other of said at least two pattern planes (42, 44).
8. The method of one of the preceding claims, wherein the optical pattern (28, 40) comprises three or more lines generally extending along, but diverging in an extension direction.
9. The method of claim 8, wherein said step of recording PAI/US images (46) comprises moving said PAI probe (12) along said extension direction and recording said PAI/US images (46) at different positions along said extension direction.
10. The method of claims 8 and 9, wherein said step of determining the location of the image plane (38) of each given 2D-PAI/US image (46) of said biological tissue (18) with respect to the optical pattern (28, 40) comprises determining a position along said extension direction based on distances between representations of said lines, and in particular based on a sum or an average of distances between representations of said lines in said given 2D-PAI image, or in one or more 2D-PAI images (46) recorded while the PAI probe (12) is in the same position or a position close to the position in which the given 2D-PAI/US image of said biological tissue (18) is recorded.
11. The method of claim 10, further comprising a step of determining an angle between said extension direction and a sectional line of the image plane (38) with a pattern plane (46) in which said three or more lines are arranged, based on distances between presentations of said lines, and in particular based on a difference or quotient of distances between representations of said lines in said given 2D-PAI image (46), or in one or more 2D-PAI images (46) recorded while the PAI probe (12) is in the same position or a position close to the position in which the given 2D-PAI/US image (46) of said biological tissue (18) is recorded.
12. The method of one of the preceding claims, wherein said optical pattern (28, 40) is provided on or in a foil (45) or a cushion or pad (50) to be placed on top of said biological tissue (18), in particular on the skin of a body part, wherein in particular, the cushion or pad (50) is partially deformable and/or is in the form of a collar (56) for placing on a person's neck.
13. The method of claim 12, wherein said cushion or pad (50) has a lower side (54) adapted to or capable of adapting to the surface of the biological tissue (18), in particular the skin at a body part, and an upper side (52) having a flat surface for placing a PAI probe (12) thereon.
14. The method of one of claims 1 to 11, wherein said optical pattern (28) is initially provided on a carrier and wherein said method comprises a step of transferring said optical pattern (28) from the carrier to a surface of said biological tissue (18), in particular to the skin of a body part.
15. The method of one of the preceding claims, wherein the absorptivity of the of the one or more dyes at the corresponding pattern-characteristic wavelength is at least a factor of 2 higher, preferably at least a factor of 10 higher than at any of said tissue-characteristic wavelengths.
16. The method according to one of the preceding claims, wherein for recording said 2D-PAI images (46) of said biological tissue, at least 2, preferably at least 4, and most preferably at least 6 different tissue-characteristic wavelengths are used, and/or wherein the dye is visible in the visible light spectrum, and wherein in particular, said dye is formed by methylene blue or ICG.
17. The method according to one of the preceding claims, wherein the method further comprises using said optical pattern as a calibration standard for normalizing PAI intensity values.
18. The method of one of the preceding claims, wherein said step of providing said optical pattern (28, 40) on or close to a surface of said biological tissue (18) comprises drawing the optical pattern (28, 40) on the surface of the biological tissue (18), in particular the skin of a body part, or on a carrier arranged close to said surface of said biological tissue (18), wherein said method preferably further comprises a step of taking a photograph of the drawn optical pattern (28, 40) and using information derived from said photograph in said step of determining the location of the image plane (38) of each given 2D-PAI or US image (46) of said biological tissue (18) with respect to the optical pattern (28, 40), and/or in the step of determining the relative location of consecutively taken 2D-PAI or US images (46).
19. The method of one of the preceding claims, wherein said step of determining the relative location of consecutively taken 2D-PAI or US images (46) involves employing a continuity constraint on the representation of the optical pattern (28, 40) in said consecutively taken 2D-PAI images, or in 2D-PAI images (46) recorded while a PAI probe (12) is in the same position or a position close to the positions in which the respective consecutive US images (46) of said biological tissue (18) are recorded and/or estimating the speed of a movement of the a PAI probe (12) with respect to the biological tissue (18) based on a difference in the representation of the optical pattern (28, 40) in said consecutively taken 2D-PAI images (46).
20. The method of one of the preceding claims, wherein regions within said optical pattern (28, 40) are encoded by one or both of using dyes having absorption maxima at different pattern-characteristic wavelengths for different regions within said optical pattern, and a visible grid or other type of visible pattern allowing for identifying regions within said optical pattern (28, 40) by visual inspection, wherein the absorptivity of a pigment or dye used for forming said visible grid or other type of visible pattern at said tissue-characteristic wavelengths is preferably sufficiently low such that the visible grid or other type of visible pattern is substantially not present in said 2D-PAI images (46).
21. A system (10) for photoacoustic imaging (PAI) and/or ultrasound (US) imaging of biological tissue (18), in particular a body part, using a PAI probe (12), said PAI probe (12) comprising a detection device (24) for receiving pressure waves (22), in particular ultrasonic waves generated upon absorption of said tissue-imaging light pulses, and optionally also ultrasonic waves employed in an additional US imaging mode, and converting said received pressure waves (22) into electrical signals, wherein said system (10) further comprises a control device (14) for constructing 2D-PAI or US images (46) from said electrical signals, wherein each 2D-PAI or US image (46) is associated with a corresponding image plane (38), wherein said system (10) further comprises means for providing an optical pattern (28, 40) on or close to the surface of said biological tissue (18), said optical pattern (28, 40) comprising one or more optical dyes configured for absorbing light at a pattern-characteristic wavelength, wherein said PAI probe (12) is further configured to provide pattern-imaging light pulses (30) having a pattern-characteristic wavelength for which the absorption by said one or more dyes is sufficiently high such that said optical pattern (28, 40) is visible in a 2D-PAI image (46) obtained with said PAI probe when employing said pattern-imaging light pulses (30), wherein said optical pattern (28, 40) is configured such that the location of the image plane (38) with respect to the optical pattern (28, 40) can be determined at least approximately from said representation of the optical pattern (28, 40) in said 2D-PAI image (46) and/or that the relative location of consecutively taken 2D PAI-images with respect to each other can be at least approximately determined, wherein said control device (14) is further configured for determining one or both of the location of the image plane (38) of each given 2D PA or US image (46) of said biological tissue (18) with respect to the optical pattern (28, 40), and the relative location of consecutively taken 2D-PAI or US images (46) from the representation of the optical pattern (28, 40) in said given 2D-PAI image(s) (46) or in one or more 2D-PAI images (46) recorded while the PAI probe (12) is in the same position or a position close to the position in which the given 2D-PAI image(s) (46) or US image(s) of said biological tissue (18) is recorded.
22. The system (10) of claim 21, wherein the system (10) comprises at least one light source (16) for providing tissue-imaging light pulses (20) having one or more tissue-characteristic wavelengths to be absorbed in said biological tissue (18), wherein said system (10) is configured for recording said 2D-PAI images (46) of said biological tissue (18) by irradiating, using said at least one light source, tissue-imaging light pulses (20) into said tissue (18) using a PAI probe (12), said tissue-imaging light pulses (20) having tissue-characteristic wavelengths to be absorbed in said biological tissue (18), receiving, using said detection device (24), pressure waves (22), in particular ultrasonic waves generated upon absorption of said tissue-imaging light pulses (20) in said tissue (18) using said PAI probe (12) and converting said received pressure waves (22) into electrical signals, and constructing, using said control device (14), 2D images (46) from said electrical signals, said 2D images (46) representing the space-resolved absorption of said tissue imaging-light pulses (20) in a sectional image plane (38) within the tissue (18).
23. The system (10 of claim 21 or 22, wherein said control device (14) is further configured for using said determined location of the image plane (38) of said given 2D-PAI/US image (46) for one or more of constructing a 3D image from a plurality of 2D-PAI/US images (46), targeting a specific anatomical location at different points in time, and registering the 2D-PAI/US image with imaging data obtained with another imaging modality.
24. The system (10) of one of claims 21 to 23, wherein said optical pattern (28, 40) extends in at least one two-dimensional pattern plane, wherein the control device (14) is configured for determining the location of the image plane (38) of each given 2D-PAI/US image (46) of said biological tissue (18) with respect to the optical pattern (28, 40) at least in part by determining a sectional line along which the image plane (38) of said 2D-PAI/US image (46) and said at least one pattern plane intersect with each other.
25. The system (10) of one of claims 21 to 24, wherein said PA-probe (12) is configured to be placed on the surface of the biological tissue (18), in particular the skin of a body part such that the 2D-PAI/US image plane (38) is at least approximately perpendicular to the two-dimensional pattern plane.
26. The system (10) of one of claims 21 to 25, wherein said optical pattern (40) has a three-dimensional structure, extending in at least one two-dimensional pattern plane (42, 44) and additionally in a thickness direction perpendicular to said pattern plane (42, 44), wherein said control device (14) is configured for determining the location of the image plane (38) of each given 2D-PAI/US image (46) of said biological tissue (18) with respect to the optical pattern (28, 40) at least in part by determining a sectional plane (48) along which the image plane (38) of said 2D-PAI/US image (46) and said three-dimensional pattern structure (40) intersect with each other.
27. The system (10) of claim 26, wherein said optical pattern (40) extends in two or more two-dimensional pattern planes (42, 44) spaced from each other in thickness direction, wherein said control device (14) is configured for determining the location of the image plane (38) of each given 2D-PAI/US image (46) of said biological tissue (18) with respect to the optical pattern (40) at least in part by determining a sectional line along which the image plane of said 2D-PAI/US image (46) and one of said at least two pattern planes (42, 44) intersect with each other, as well as by determining an angle between said one pattern plane (42, 44) and said image plane (38) of said given 2D-PAI/US image (46) of said biological tissue (18) based on at least one other of said at least two pattern planes (42, 44).
28. The system (10) of one of claims 21 to 27, wherein the optical pattern (28, 40) comprises three or more lines generally extending along, but diverging in an extension direction.
29. The system (10) of claim 28, wherein said PAI probe (12) is configured for recording PAI/US images (46) while moving said PAI probe (12) along said extension direction and recording said PAI/US images (46) at different positions along said extension direction.
30. The system (10) of claims 28 and 29, wherein said control device (14) is configured for determining the location of the image plane (38) of each given 2D-PAI/US image (46) of said biological tissue (18) with respect to the optical pattern (28, 40) at least in part by determining a position along said extension direction based on distances between representations of said lines, and in particular based on a sum or an average of distances between representations of said lines in said given 2D-PAI image, or in one or more 2D-PAI images (46) recorded while the PAI probe (12) is in the same position or a position close to the position in which the given 2D-PAI/US image (46) of said biological tissue (18) is recorded.
31. The system (10) of claim 30, wherein said control device (14) is further configured for determining an angle between said extension direction and a sectional line of the image plane (38) with a pattern plane in which said three or more lines are arranged, based on distances between presentations of said lines, and in particular based on a difference or quotient of distances between representations of said lines in said given 2D-PAI image (46), or in one or more 2D-PAI images (46) recorded while the PAI probe (12) is in the same position or a position close to the position in which the given 2D-PAI/US image (46) of said biological tissue (18) is recorded.
32. The system (10) of one of claims 21 to 31, wherein said means for providing said optical pattern comprises a foil (45) or a cushion or a pad (50) on which said optical pattern is provided and which is to be placed on top of said biological tissue (18), in particular on the skin of a body part, wherein in particular, the cushion or pad (50) is preferably partially deformable, and/or is in the form of a collar (56) for placing on a person's neck.
33. The system (10) of claim 32, wherein said cushion or pad (50) has a lower side (54) adapted to or capable of adapting to the surface of the biological tissue, in particular the skin at a body part, and an upper side (52) having a flat surface for placing a PAI probe (12) thereon.
34. The system (10) of one of claims 21 to 31, wherein said means for providing said optical pattern (28) comprises a carrier on which said optical pattern is initially provided, wherein said optical pattern (28) is suitable for being transferred from the carrier to a surface of said biological tissue (18), in particular to the skin of a body part.
35. The system (10) of one of claims 21 to 34, wherein the absorptivity of the of the one or more dyes at the corresponding pattern-characteristic wavelength is at least a factor of 2 higher, preferably at least a factor of 10 higher than at any of said tissue-characteristic wavelengths.
36. The system (10) of one of claims 21 to 35, wherein said at least one light source (16) is configured for providing at least 2, preferably at least 4, and most preferably at least 6 different tissue-characteristic wavelengths.
37. The system (10) of one claims 21 to 36, wherein the dye is visible in the visible light spectrum, and wherein in particular, sand dye is formed by methylene blue or ICG.
38. The system (10) of one of claims 21 to 37, wherein said means for providing said optical pattern (28, 40) is a pen for drawing said optical pattern (28, 40) on the surface of the biological tissue (18), in particular the skin of a body part, or on a carrier arranged close to said surface of said biological tissue (18), and wherein said control device (14) is preferably further configured for using information derived from a photograph taken of said drawn optical pattern (28, 40) in said step of determining the location of the image plane (38) of each given 2D-PAI or US image (46) of said biological tissue (18) with respect to the optical pattern (28, 40), and/or in the step of determining the relative location of consecutively taken 2D-PAI or US images (46).
39. The system (10) of one of claims 21 to 38, wherein said control device (14) is configured for determining the relative location of consecutively taken 2D-PAI or US images (46) employing a continuity constraint on the representation of the optical pattern (28, 40) in said consecutively taken 2D-PAI images, or in 2D-PAI images (46) recorded while a PAI probe (12) is in the same position or a position close to the positions in which the respective consecutive US images (46) of said biological tissue (18) are recorded and/or configured for estimating the speed of a movement of the a PAI probe (12) with respect to the biological tissue (18) based on a difference in the representation of the optical pattern (28, 40) in said consecutively taken 2D-PAI images (46).
40. The system (10) of one of claims 21 to 39, wherein regions within said optical pattern (28, 40) are encoded by one or both of dyes having absorption maxima at different pattern-characteristic wavelengths for different regions within said optical pattern, and a visible grid or other type of visible pattern allowing for identifying regions within said optical pattern (28, 40) by visual inspection, wherein the absorptivity of a pigment or dye used for forming said visible grid or other type of visible pattern at said tissue-characteristic wavelengths is preferably sufficiently low such that the visible grid or other type of visible pattern is substantially not present in said 2D-PAI images (46).
Description
SHORT DESCRIPTION OF THE FIGURES
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DESCRIPTION OF THE PREFERRED EMBODIMENTS
[0127] It is to be understood that both the foregoing general description and the following description are exemplary and explanatory only and are not restrictive of the methods and devices described herein. In this application, the use of the singular may include the plural unless specifically state otherwise. Also, the use of “or” means “and/or” where applicable or unless stated otherwise. Those of ordinary skill in the art will realize that the following description is illustrative only and is not intended to be in any way limiting. Other embodiments will readily suggest themselves to such skilled persons having the benefit of this disclosure. Reference will now be made in detail to various implementations of the example embodiments as illustrated in the accompanying drawings. The same reference signs will be used to the extent possible throughout the drawings and the following description to refer to the same or like items.
[0128]
[0129] The PAI probe 12 comprises a light source 16 for photoacoustic imaging. In the embodiment shown, the light source 16 is configured for generating tissue-imaging light pulses of various tissue-characteristic wavelengths to be absorbed in biological tissue 18 under investigation. Light of one exemplary tissue-imaging light pulse is symbolically represented in
[0130] Note that the magnitude of the ultrasonic emission 22 of the tissue 18, or in other words, the photoacoustic signal, is proportional to the local energy deposition by light absorption. The local energy deposition is a product of absorption and the local fluence, i. e. the light energy per surface area at said location. For a given local fluence value, the photoacoustic signal hence reveals a physiologically specific absorption contrast. As was explained above, this physiologically specific absorption contrast may expose anatomic structures, but is also particularly useful for determining functional tissue parameters, for example blood oxygenation, the distinction of cancerous tissue from non-cancerous tissue or the like. In order to obtain detailed functional tissue parameter information, the light source 16 in the shown embodiment is configured for emitting tissue-imaging light pulses 20 with different tissue-characteristic wavelengths, for example at least four, preferably at least six different tissue-characteristic wavelengths. In the embodiment shown, the light source 16 is a tunable laser source, such that light pulses with arbitrary wavelengths within a predetermined wavelength range can be generated sequentially.
[0131] Further shown in
[0132] The optical pattern 28 is configured such that the location of the image plane of the 2D PAI image with respect to the optical pattern 28 can be determined at least approximately from the representation of the optical pattern 28 in the 2D PAI image recorded with pattern-imaging light pulses. Then, if a 2D PAI image of the tissue is recorded using tissue-imaging light pulses (with a tissue-characteristic wavelength) shortly after or before the 2D PAI image showing the optical pattern, it can be assumed that the PAI probe 12 has not significantly moved in between, and that the location of the image plane obtained for the 2D-PAI image showing the optical pattern is the same as that of the 2D-PAI image showing the tissue. Indeed, it is customary to record the PAI images one wavelength at a time, and to combine the information obtained with different wavelengths sequentially as “one image”. In this regard, one may also regard consecutive PAI images recorded with a tissue-characteristic wavelength and a pattern-characteristic wavelength as the same image. This is essentially a question of how the image data is organized. At any rate, when repeatedly recording 2D-PAI images using pattern-imaging light pulses and hence displaying a sectional view of the optical pattern 28, the location of the image plane of the PAI probe 12 with respect to the optical pattern 28 can be determined with sufficient accuracy at all times, and is therefore likewise known for all 2D-PAI images of the tissue 18 taken in between.
[0133] The optical pattern 28 may have portions formed by different dyes which can be visualized using different pattern-characteristic wavelengths provided by the light source 16. In preferred embodiments, the dyes are chosen such that they have only little or even negligible absorption for any of the tissue-characteristic wavelengths, such that the optical pattern is “invisible” in the 2D-PAI images representing the tissue 18. For example, the absorptivity of the of the one or more dyes at the corresponding pattern-characteristic wavelength is at least a factor of 2 higher, preferably at least a factor of 10 higher than at any of said tissue-characteristic wavelengths. This way, the quality of the 2D-PAI images of the tissue 18 is not compromised by the optical pattern 28. However, this is not necessary, and in the simplest case, the light source 16 may be configured to emit only a single wavelength, which corresponds to both, the single tissue-characteristic wavelength and the single pattern-characteristic wavelength simultaneously. In other embodiments, there may be plural tissue-characteristic wavelengths, but at least one of them is sufficiently absorbed by the dye of the optical pattern 28 such as to also serve as the pattern-imaging wavelength. In other words, by distinguishing between tissue/pattern-imaging light pulses and tissue/pattern-characteristic wavelengths, it is not meant to suggest that these light pulses or wavelengths must necessarily be different from each other, as long as they are suitable for the respective function.
[0134] The PAI probe 12 shown in
[0135] With reference to
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[0138] A further deviation from the idealistic translation is a rotation of the 2D-PAI image plane around the z-axis, which leads to a difference in the distances d1 and d2 from each other, that can likewise be seen in
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[0140] The image plane is shown at reference sign 38 in
[0141] The x-coordinate of the intersection of the 2D-PAI image plane 38 with the centerline of the pattern 28, referred to as a0 in the following, can be calculated from d1 and the angles α, γ as follows:
[0142] Note that the angle α and the distance a0 from the origin define the sectional line along which the image plane 38 of the PAI image and the plane of the optical pattern 28 intersect with each other. With this sectional line, and a straightforward correction for translations and rotations of the probe 12 within the y-z plane, all degrees of freedom of the probe 12 are accounted for, except for a possible tilt of the PAI probe 12 in the x-z plane. It is however seen that in practice, this possible tilt does not necessarily have to be accounted for, since it is actually possible to avoid such a tilt quite reliably in handheld operation. In other words, when the operator tries to keep the probe 12 perpendicular to the plane of the optical pattern 28, it can simply be assumed that the 2D-PAI image plane 38 is perpendicular to the plane of the optical pattern 28 (referred to as the “at least one pattern plane” in the summary above). Possible ways for correcting for this tilt where needed or desired will be described below.
[0143] It is hence seen that for every pixel in the 2D-PAI image plane that is spaced by a distance δ.sub.slice from the line where y=0, the coordinates within the reference coordinate system defined by the optical pattern 28 can be determined as follows:
y=−cos(α).Math.δ.sub.slice
x=sin(α).Math.δ.sub.slice+a.sub.0
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[0145] Note that if the probe 12 was held perfectly orthogonal to the optical pattern 28, with an angle α=0, and was merely translated at constant speed in x-direction, the curves for d1 and d2 seen in
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[0147] In the embodiment shown in
[0148] An example for a three-dimensional optical pattern 40 is shown in
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[0150] As is seen in the schematic representation of the 2D-PAI image 46, the intersection between the 2D-PAI image plane 38 (paper plane in
[0151] While the three-dimensional optical pattern 40 hence allows for an even more precise determination of the location of the 2D-image 46 with respect to the optical pattern 40, this comes at the price of a loss in available imaging depth corresponding to the thickness of the three-dimensional optical pattern 40. It hence depends on the specific application whether it is more advantageous to make use of a three-dimensional optical pattern such as the pattern 40 or a two-dimensional optical pattern such as the one shown at reference sign 28 above. As mentioned before, even when using a purely two-dimensional optical pattern, which would not allow to assess the tilt angle between the pattern plane and the image plane, good results can be obtained, as is demonstrated with reference to
[0152]
[0153] Panels c and d show 3D images constructed from the same 2D-PAI images, but accounting for the location of each 2D-PAI image with respect to the optical pattern 28. As is seen from panel c, in the properly constructed 3D image, the representation of the optical pattern 28 is close to the true geometry thereof. Moreover, the vessel structure 34 is represented much more realistically in the 3D image. Note that these images were recorded with a two-dimensional optical pattern 28 only, and without correcting for the angle between the pattern plane and image plane, relying on a proper pose in this regard during the freehand operation.
[0154] Errors due to a possible tilt of the PAI probe 12 in the x-z plane may also be avoided by other means than a three-dimensional optical pattern, such as the above pattern 40. For example, the tilt angle may be measured using the inertial measurement unit (IMU) 15 shown in
[0155] Another way of estimating the tilt angle may be based on a change of reflectivity of the surface of the optical pattern 28, or of a foil on which, or a matrix in which it is provided, using the Fresnel equations. In the alternative, if e.g. the absorption coefficient of the dye of the centerline and the pulse energy of the light source 16 is known, an expected PAI signal amplitude can be calculated. This expected amplitude can be compared to the measured amplitude, enabling the estimation of the tilt angle. The rationale of this is that the amplitude of the measured signal is expected to decrease with an increased tilt of the PAI probe 12.
[0156] The optical pattern 28, 40 can be provided in different ways. In some embodiments, it will be printed on a foil or embedded in a matrix. In other embodiments, it may be attached directly to the surface of the biological tissue, such as the skin of a body part, for example in a similar manner as a “fake tattoo” is attached to skin. The precise structure of the optical pattern 28, 40 and its carrier, if any, can be chosen depending on the anatomy of the target tissue.
[0157] In the trunk area, the pattern 28, 40 could e.g. be used for diagnosing Crohn's disease, for mamography and general angiography/cardiovascular diseases, such as monitoring of the vessels, calcification of the vessels, diagnosing thrombosis et cetera. Since in these regions the tissue is comparatively soft, a simple pattern provided on a plastic foil to be placed on or attached to the skin will often be sufficient.
[0158] In the head and neck area, various structures, including lymph nodes, thyroid, parotid gland, other muscles and glandular tissue may be displayed in PAI images (and alternatively or additionally, ultrasound images) together with the optical pattern 28, 40. These are particularly important objects for PAI images in the context of diagnosis and therapy of tumors, but also, for example, for the analysis of malfunctions or anomalies. For this purpose, the optical pattern 28, 40 could be provided on a partially deformable gel pad 50 as shown in
[0159]
[0160] Note that in many applications, the optical pattern 28, 40 may be fixed on the skin beyond the period of the pure measurement, for example for a full cycle of planning, therapy process and after-care. This is particularly useful for tumor aftercare and tumor response. Further useful applications are the field of thermal coordination for ablations, for example in the thyroid gland.
[0161] While in preferred embodiments, the optical pattern 28 is a two-dimensional object, defined by a pattern plane, this pattern plane need not be flat. Indeed, it is seen that in many cases the pattern will conform to the skin of the body part under investigation, which will often be curved. Still, even in the curved state, when adapted to the surface of the skin, the optical pattern 28 may serve as a reference for the 2D-PAI images. Namely, the local curvature of the pattern can 28 be determined from the PAI images 46 and hence accounted for. The left part of
[0162] A further important use of the optical pattern 20, 40 is to provide a calibration standard for quantitative photoacoustic imaging. Quantitative photoacoustic imaging herein means that some sort of quantitative measure of the absorptivity of the tissue is determined. This is particularly important for functional imaging, such as oxygenation or the like. Currently, it is also difficult to compare PAI images recorded with different apparatuses, because signal intensities obtained for the same tissue with different apparatuses will usually differ from each other. Using the optical pattern having a known absorptivity, the signal intensity in the PAI image can be calibrated or normalized.
[0163] A yet further important use of the optical pattern 28, 40 is for the purpose of co-registering the PAI-images or ultrasound images with images recorded with other imaging modalities, such as MRI, multispectral imaging or CT. In some embodiments, the dye used in the optical pattern may be also “visible” in the other imaging modality. In the alternative, a further contrast pattern may be provided that can be discerned in the additional imaging modality and that is provided in a fixed spatial relationship to the optical pattern 28, 40. Two examples are shown in
[0164]
[0165]
[0166]
[0167] Moreover, in the embodiment of
[0168] Moreover, the grid will assist the user in re-examining a position where a PAI image has previously been taken. As is seen from
[0169] As the skilled person will appreciate, the example shown in
[0170] In the embodiment of
[0171] In the embodiments described above, the optical pattern 28 was always designed such that it permits determining the location of an image plane with respect to the optical pattern 28, which in particular required that the precise geometry of the optical pattern 28 was known, including e. g. a possible deformation of the optical pattern. However, in other embodiments, the optical pattern is used for determining the relative location of consecutively taken 2D-PAI images with respect to each other, at least approximately. This can for example be done using a continuity constraint on the representation of the optical pattern in consecutive 2D-PAI images. For this, it is sufficient if the pattern 28 consists of or at least comprises a number of continuous objects, such as continuous lines. The continuity constraint means that the relative locations of the consecutively taken 2D PAI images should be such that the continuity of these continuous objects is preserved. This can be used as a constraint in an algorithm that determines the relative location of the consecutive 2D-PAI images.
[0172] As the skilled person will appreciate, for this purpose, a large variety of patterns can be used, and the geometry of the patterns need not even be known. In a simple but very useful embodiment discussed with reference to
[0173] Moreover, the speed of a movement of the a PAI probe 12 with respect to the biological tissue during the imaging process may be assessed based on a difference in the representation of the optical pattern 28 in consecutively taken 2D-PAI images. Namely, for any pattern structure that is not parallel to the direction of the movement of the PAI probe, and in particular for a freehand pattern portions having curvy lines and loops, the deviation between the representations of the pattern structure in consecutively taken 2D-PAI images increases with the speed of the probe 12. The assessment of this speed can be used for various purposes, for example for assisting the user in carrying out the scan with an approximately constant speed, or for estimating the distance between consecutively taken 2D-PAI images, which is proportional to the speed.
[0174] Note that for both, determining the speed of the probe 12 or the relative location of consecutive PAI images by the continuity constraint, it is not necessary that the precise shape of the pattern 28 is known, as these assessments rely on the comparison of the representation of the optical pattern 28 in consecutive 2D-PAI images rather than with a known geometry of the optical pattern 28. However, in a preferred embodiment, a photograph of the drawn optical pattern may be taken using the camera 64. Then, information derived from said photograph may be used in determining the location of the image plane of each given 2D-PAI or US image of said biological tissue with respect to the optical pattern, and/or in the step of determining the relative location of consecutively taken 2D-PAI or US images.
[0175]
[0176]
[0177] In an exemplary workflow, first the plastic foil 45 having the optical pattern 28 printed thereon, but without the fiducial markers 58 attached thereto, is attached to the skin of a patient, and a photoacoustic scan is performed. Afterwards the fiducial MR/CT markers 58 (“i.e. contrast agents”) are attached on said distinct positions on the plastic foil 45, which is still attached to the patient's skin. A NMR or CT scan is performed. Since the position of the fiducial markers 58 relative to the optical pattern 28 is known, an accurate point registration between the PAI image and the NMR or CT image is easily possible. The fiducial markers generate a bright signal in the NMR or CT image, respectively. The NMR or CT fiducial markers 58 can then be easily removed from the plastic foil 45, allowing to perform further photoacoustic scans also after the NMR/CT scan.
[0178] Indeed, in preferred embodiments, as was explained above, a plurality of sets of PAI images taken at different points in time may be co-registered with the same image recorded with another imaging modality such as CT or NMR imaging. In a preferred workflow, a CT or NMR image of the region of interest is recorded only once at the beginning of an extended treatment or monitoring period. The CT image or NMR image is preferably used for obtaining anatomical or morphological information at very high resolution throughout the volume of interest. In the course of the treatment or monitoring, various sets of PAI images can then be recorded at different times, for example to monitor functional parameters over time, such as oxygenation, flow direction of blood or the like. Due to the spectroscopic character of the PAI method, it is well suitable for assessing information on a molecular level. For visualizing the anatomy of the body part, however, other imaging modalities like CT or NMR will usually be superior. Since the anatomy will not change over the course of the treatment or monitoring period, it is sufficient to record one CT or NMR image at the beginning of the treatment/monitoring period, and combine the anatomical information derived therefrom with the functional information obtained easily and cheaply as needed by PAI imaging. According to this workflow, the optical pattern 28 would remain attached to the patient for the duration of the treatment or monitoring period. Obviously, even if the CT or NMR fiducial markers 58 were designed in a way that they would allow for recording PAI images, it is more practical and comfortable to remove them from the carrier, such as the plastic foil 45, once they are no longer needed. Moreover, the removed fiducial markers 58 may be reused for another application at the same patient or even a different patient. Since in the shown example they are only in contact with the plastic foil 45, they do not need to be absolutely sterile and can therefore be in principle cleaned and used again.
[0179] The prototype plastic foil 45 including the optical pattern 28 and the removable fiducial CT/NMR markers 58 as shown in the photograph of
[0180]
[0181] Note that in the image of
[0182] Moreover, it is seen that the PAI signal generated from region of the surface of the target marker 66 hull close to the upper surface of the phantom, from where the PA images are recorded, is much stronger than the signal generated from the black ink on other portions of the surface of the hull, and in particular the surface facing away from the upper surface of the phantom. This is due to the fact that excitation light is irradiated from the top surface of the phantom, and that most of the excitation light is absorbed from the black ink at the upper portion of the target marker 66 (i.e. the portion facing the upper surface of the phantom), so that the light fluence in the remaining regions of the surface of the hull is reduced, leading to a much weaker PA signal. This effect will be referred to as a “shadowing” effect for short in the following. Also, it is seen that the PAI signals associated with target markers 66 further away from the upper surface of the phantom are likewise considerably reduced, since again, in deeper layers, the light fluence is weaker.
[0183] These effects can in practice be accounted for in various manners. In particular, in practical applications, one can approximately assess or estimate the optical fluence in a certain region of the PAI volume and calibrate the PAI signal accordingly, to therefore account for regions of reduced fluence. The shadowing effect can in practice be mitigated by irradiating the excitation light from different directions. However, in various embodiments, this will not be necessary, since in many cases, images including the relevant information from a clinical point of view can often be obtained with “incomplete” PA images, i.e. images suffering from shadowing effects or reduced PA intensities in regions of lower light fluence.
[0184] To further appreciate this, reference is made to
[0185] In other words, although the PA signal is too weak to make a clear distinction in all portions of the vessel from the PA signal per se, it is nevertheless possible to label each of the pixels within the remainder of the vessel 70 to be part of the vessel as well. This labelling of pixels with a corresponding class of what is being represented is also known as “semantic segmentation”. In the example shown, the corresponding “class of what is being represented” would in the simplest case be whether the pixel is part of a vessel or not.
[0186] In preferred embodiments, the PAI image is used for obtaining a semantic representation of the imaged volume. Herein, semantic representation involves an understanding of each pixel of the PAI image with regard to high-level semantics, e.g. spatial, functional and semantic relations. This is schematically illustrated in
[0187] As mentioned before, the PAI method has at least two important practical advantages, one being the relatively easy and quick way of obtaining the images, with comparatively cheap imaging equipment (in particular when only 2D images are recorded), the other being the capability of assessing functional parameters, in particular functional parameters relying on molecular information of the imaged region. These advantages can be exploited particularly well if the PA image is used for generating a semantic representation of the volume, as should have become apparent from the examples given above. For example, with reference to the example of a vessel tree, it is possible to quickly assess oxygenation within part of the vessel tree, and in case of low oxygenation, immediately identify subordinate vessel branches that will then likewise be affected by reduced oxygen supply.
[0188] In order to construct the semantic representation of the PAI volume, it may be helpful to have additional information derived from other imaging modalities, in particular those that are less affected by the inherent limitation of the PA method, such as limited fluence in deeper layers and shadowing effects. In some embodiments, additional information can be supplied by US images, which can typically be easily obtained with the same apparatus, as explained above. In other embodiments, this additional information can be obtained from other imaging modalities, in particular CT or NMR imaging, which are particularly suitable for providing high-resolution and detailed anatomical or morphological information.
[0189] However, the inventors noticed that in other embodiments, the semantic representation may be generated based on the PAI images alone, when using a machine learning algorithm that has e.g. been trained based on PAI images in combination with co-registered images of other imaging modalities. In this case, the anatomical information derived from co-registered images obtained with different imaging modalities can be used as ground truth during the machine learning. In addition or alternatively, the machine learning algorithm may be trained using simulated PA volumes, where the exact tissue topology underlying the simulation serves as ground truth.
[0190] Preferred machine learning algorithms for this purpose are supervised deep learning-based convolutional neural networks, that are specifically suitable for image analysis due to the incorporation of spatial image context while leveraging a reduced number of learnable free parameters. A particularly suitable network for the purposes of this embodiment is the U-Net as described in Ronneberger, et al. “U-net: Convolutional networks for biomedical image segmentation.” International Conference on Medical image computing and computer-assisted intervention. Springer, Cham, 2015, and in Isensee, et al. “nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation.” Nature methods 18.2 (2021): 203-211. However, other machine learning-based methods could be applied, for example leveraging principles of generative adversarial neural networks (GAN), as e.g. described in Goodfellow, et al. “Generative adversarial networks.” Communications of the ACM 63.11 (2020): 139-144. One approach could be to use the PA image as condition to generate semantic segmentations or to incorporate adverserial loss functions in above mentioned convolutional approaches, in a manner generally described in L Luc, Pauline, et al. “Semantic segmentation using adversarial networks.” arXiv preprint arXiv:1611.08408 (2016).
[0191] While the present invention has been described in terms of specific embodiments, it is understood that variations and modifications will occur to those in the art, all of which are intended as aspects of the present invention. Accordingly, only such limitations as appear in the claims should be placed on the invention.
REFERENCE SIGNS
[0192] 10 PAI imaging system [0193] 12 PAI probe [0194] 14 control device [0195] 15 inertial measurement unit [0196] 16 light source [0197] 18 biological tissue [0198] 20 tissue-imaging light pulse [0199] 22 pressure wave [0200] 24 transducer [0201] 26 piezoelectric transducer element [0202] 28 two-dimensional optical pattern [0203] 30 pattern-imaging light pulse [0204] 32 ultrasound pulse [0205] 34 forearm [0206] 36 vessel [0207] 38 imaging plane [0208] 40 three-dimensional optical pattern [0209] 42 upper pattern plane [0210] 44 lower pattern plane [0211] 45 plastic foil [0212] 46 2D-PAI image [0213] 48 two-dimensional section plane [0214] 50 gel pad with optical pattern [0215] 52 upper side of gel pad 50 [0216] 54 lower side of gel pad 50 [0217] 56 collar [0218] 58 MRI contrast agent [0219] 60 radiopaque marker [0220] 62 visible grid [0221] 64 pen for drawing optical pattern [0222] 66 target marker