METHOD AND APPARATUS FOR PERFORMING MULTI-ENERGY (INCLUDING DUAL ENERGY) COMPUTED TOMOGRAPHY (CT) IMAGING
20200271597 ยท 2020-08-27
Inventors
- William A. Worstell (Wayland, MA, US)
- Matthew Len Keeler (Bolton, MA, US)
- Olof Johnson (Ashburnham, MA, US)
- Bernard M. Gordon (Manchester, MA, US)
Cpc classification
A61B6/405
HUMAN NECESSITIES
A61B6/52
HUMAN NECESSITIES
A61B6/5205
HUMAN NECESSITIES
G01V5/224
PHYSICS
A61B6/4035
HUMAN NECESSITIES
G21K1/10
PHYSICS
A61B6/4241
HUMAN NECESSITIES
International classification
G21K1/10
PHYSICS
A61B6/00
HUMAN NECESSITIES
G01V5/00
PHYSICS
Abstract
An improved dual energy CT imaging system for providing improved imaging and improved material identification.
Claims
1.-21. (canceled)
22. A system for providing a first energy measurement associated with a first X-ray energy range produced by a polychromatic X-ray tube, and a second energy measurement associated with a second X-ray energy range produced by the same polychromatic X-ray tube, wherein the second X-ray energy range is different from the first X-ray energy range, the system comprising: a filtered detector for detecting X-rays produced by the polychromatic X-ray tube across the first X-ray energy range and providing an output, wherein the output of the filtered detector comprises the first energy measurement; an unfiltered detector for detecting X-rays produced by the polychromatic X-ray tube across the full X-ray energy range of the polychromatic X-ray tube and providing an output; and a processor for determining the second energy measurement, wherein the second energy measurement is the difference between the output of the unfiltered detector and the output of the filtered detector.
23. A system according to claim 22 wherein the first X-ray energy range comprises higher energy photons and the second X-ray energy range comprises lower energy photons.
24. A system according to claim 23 wherein the filtered detector comprises a detector and a filter interposed between the polychromatic X-ray tube and the detector, and further wherein the filter is configured to block lower energy photons.
25. A system according to claim 22 further comprising a polychromatic X-ray tube.
26. A system according to claim 22 wherein an object is disposed between (i) the polychromatic X-ray tube, and (ii) the filtered detector and the unfiltered detector.
27. A method for providing a first energy measurement associated with a first X-ray energy range produced by a polychromatic X-ray tube, and a second energy measurement associated with a second X-ray energy range produced by the same polychromatic X-ray tube, wherein the second X-ray energy range is different from the first X-ray energy range, the method comprising: providing a system for providing a first energy measurement associated with a first X-ray energy range produced by a polychromatic X-ray tube, and a second energy measurement associated with a second X-ray energy range produced by the same polychromatic X-ray tube, wherein the second X-ray energy range is different from the first X-ray energy range: a filtered detector for detecting X-rays produced by the polychromatic X-ray tube across the first X-ray energy range and providing an output, wherein the output of the filtered detector comprises the first energy measurement; an unfiltered detector for detecting X-rays produced by the polychromatic X-ray tube across the full X-ray energy range of the polychromatic X-ray tube and providing an output; and a processor for determining the second energy measurement, wherein the second energy measurement is the difference between the output of the unfiltered detector and the output of the filtered detector; using the polychromatic X-ray tube to cause the full X-ray energy range of the polychromatic X-ray tube to be received by the filtered detector and the unfiltered detector; and using the filtered detector to determine the first energy measurement, and using the processor to determine the second energy measurement.
28. A method according to claim 27 wherein the first X-ray energy range comprises higher energy photons and the second X-ray energy range comprises lower energy photons.
29. A method according to claim 28 wherein the filtered detector comprises a detector and a filter interposed between the polychromatic X-ray tube and the detector, and further wherein the filter is configured to block lower energy photons.
30. A method according to claim 27 wherein the system further comprises a polychromatic X-ray tube.
31. A method according to claim 27 wherein an object is disposed between (i) the polychromatic X-ray tube, and (ii) the filtered detector and the unfiltered detector.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
[0038] These and other objects and features of the present invention will be more fully disclosed or rendered obvious by the following detailed description of the preferred embodiments of the invention, which is to be considered together with the accompanying drawings wherein like numbers refer to like parts and further wherein:
[0039]
[0040]
[0041]
[0042]
[0043]
[0044]
[0045]
[0046]
[0047]
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS
[0048] In accordance with the present invention, there is provided a novel multi-energy (including dual energy) CT imaging system providing improved imaging (e.g., images free of beam hardening artifacts or approximations) and improved material identification.
Apparatus for Performing Dual Energy Computed Tomography (CT) Imaging
[0049] In accordance with the present invention, and looking now at
[0050] More particularly, in the preferred form of the present invention, multi-energy (including dual energy) CT imaging system 105 generally comprises a torus 110 which is supported by a base 115. A center opening 120 is formed in torus 110. Center opening 120 receives the object (e.g., the body or the container) which is to be scanned by multi-energy (including dual energy) CT imaging system 105.
[0051] Still looking now at
[0052] In one preferred form of the invention, X-ray tube assembly 135 comprises a polychromatic X-ray tube assembly, i.e., X-ray tube assembly 135 emits X-rays with a range of different energies. In one preferred form of the invention, X-ray tube assembly 135 comprises a single X-ray tube which is driven by a single voltage.
[0053] Inasmuch as X-ray tube assembly 135 comprises a single polychromatic X-ray tube driven by a single voltage, in order to allow the imaging system to be used for multi-energy (including dual energy) CT imaging, it is necessary for X-ray detector assembly 140 to provide, for each of its detectors, measurements at two or more different X-ray energy ranges, e.g., a high energy measurement which maximizes the detection of higher energy photons and a low energy measurement which maximizes the detection of lower energy photons, with or without additional energy measurements.
[0054] For clarity of description, multi-energy (including dual energy) CT imaging system 105 will generally hereinafter be discussed in the context of a dual energy CT imaging system, however, it should be appreciated that the CT imaging system may utilize three or more energy measurements without departing from the scope of the present invention.
[0055] If desired, this may be accomplished in the manner of the prior art, i.e., by providing a dual-filter detector such as the dual-filter detector shown in
[0056] For this reason, the present invention provides an improved approach for providing, for each of its detectors, measurements at two different X-ray energy ranges (i.e., a high energy measurement and a low energy measurement) in order to enable dual energy CT scanning.
[0057] More particularly, and looking now at
[0058] As a result of this construction, detection region 155 will provide a measurement X which is representative of the higher energy portion of the X-ray spectrum passing through the object which is being scanned, and detection region 160 will provide a measurement Y which is representative of the total X-ray spectrum passing through the object which is being scanned. The present invention recognizes that if the value of the aforementioned measurement X is subtracted from the value of the aforementioned measurement Y, the resulting value Z will be representative of the lower energy portion of the X-ray spectrum passing through the object which is being scanned. Thus, with this approach, by measuring the high energy photons passing through filter 165 and striking detection region 155 (i.e., the aforementioned measurement X), the high energy measurement used for dual energy CT scanning can be obtained. And by measuring the total X-ray spectrum striking detection region 160 (i.e., the aforementioned measurement Y), and then subtracting the value of the higher energy portion of the X-ray spectrum striking detection region 155 (i.e., the aforementioned measurement X), the low energy measurement (i.e., the aforementioned measurement Z) can be obtained. In this way, the single-filter detector shown in
[0059] Alternatively, a proxy for the high energy measurement can be taken as the signal striking region 160, as its average spectral response represents a higher energy than that of region 155, and the low energy measurement can be taken as the signal striking region 155, since filter 165 will ensure that those photons striking region 155 will be at a lower energy level than the photons striking region 160.
Method for Performing Multi-Energy (Including Dual Energy) Computed Tomography (CT) Imaging
[0060] In accordance with the present invention, there is also provided a new process for using the measurements taken at two or more different polychromatic X-ray energies to provide multi-energy (including dual energy) CT imaging.
[0061] For clarity of description, multi-energy (including dual energy) CT imaging system 105 will generally hereinafter be discussed in the context of a dual energy CT imaging system, however, it should be appreciated that the CT imaging system may utilize three or more energy measurements without departing from the scope of the present invention.
[0062] The process described below shows how polychromatic dual energy data can be processed into synthetic monochromatic images which are both free of beam hardening artifacts and which contain information on material composition.
[0063] More particularly, when dual energy CT imaging is to be performed on an object (e.g., a body or a container), the object is placed in center opening 120 of novel dual energy CT imaging system 105, rotating disc 130 is rotated about fixed gantry 125, X-ray tube assembly 135 is energized so as to emit polychromic X-ray beam 145, and X-ray detector assembly 140 is operated so as to collect two energy measurements for each detector of X-ray detector assembly 140, i.e., a polychromatic high energy measurement and a polychromatic low energy measurement.
[0064] As discussed above, and as shown in
[0065] Alternatively, and more preferably, and as also discussed above, the two energy measurements may be obtained for each detector of X-ray detector assembly 140 by positioning a filter over half of the detector and leaving the other half of the detector exposed (i.e., by positioning filter 165 over detection region 155 and leaving detection region 160 unfiltered, in the manner shown in
[0066] These two polychromatic energy measurements are made for each detector of X-ray detector assembly 140 for each rotational position of rotating disc 130 about fixed gantry 125, i.e., for each line of response of the X-ray beam passing through the object which is being scanned), thereby yielding two polyenergetic sinograms, g.sub.HIGH (high energy) and g.sub.LOW (low energy).
[0067] Then, for each line of response, the ratio g.sub.HIGH/g.sub.LOW (or R) is computed.
[0068] The signal for any given line of response, whether associated with a filtered detector or an unfiltered detector (i.e., g.sub.HIGH or g.sub.LOW, respectively), can be converted to the predicted signal for a purely monochromatic system of ANY monoenergy. This is achieved using a lookup table where R and g (either g.sub.HIGH or g.sub.LOW) are used as the lookup indices to obtain the appropriate multiplier to transform the CT-acquired polyenergetic sinogram g (either g.sub.HIGH or g.sub.LOW) into a synthetic monoenergetic sinogram G.sub.ENERGY, where .sub.ENERGY may be any monoenergetic level (e.g., G.sub.160 which represents the synthetic monoenergetic sinogram at a monoenergy of 160 kev, G.sub.40 which represents the synthetic monoenergetic sinogram at a monoenergy of 40 kev, etc.). In practice, because the response of the filtered and unfiltered channels are different, separate tables and separate lookup values are required for each of the filtered and unfiltered channels (i.e., the multipliers A.sub.ENERGY and B.sub.ENERGY respectively to produce a corresponding monochromatic sinogram of G.sub.ENERGY). In this way, synthetic monoenergetic signal levels are predicted for every line of response, generating a full resolution monoenergetic synthetic sinogram. This may be done for any monoenergy using the appropriate multipliers.
[0069] Next, CT reconstruction techniques are applied to monoenergetic sinograms to produce monoenergetic images, i.e. I.sub.ENERGY. The monoenergetic images may be produced for any monoenergy, e.g., I.sub.160 which is the synthetic monoenergetic image at a monoenergy of 160 kev, I.sub.40 which is the synthetic monoenergetic image at a monoenergy of 40 kev, etc. Any number of monoenergetic images can be generated from the data acquired using the methods described. These monoenergetic images are free of beam hardening artifacts and are therefore potentially useful for that reason alone. By way of example but not limitation, a single monoenergetic image could be potentially very useful for radiation planning. In radiation therapy it is useful to know how the radiation used to target and kill tumors attenuates as the radiation beam travels through the body. A monoenergetic image can be generated at the same energy as the radiation used for therapy purposes. Each location within the image (i.e., each voxel) contains the predicted attenuation properties of the material for the therapy beam.
[0070] By way of example but not limitation, and looking now at
[0071] Synthetic monoenergetic images also contain information on the material composition along each line of response. For example, a mathematical function rho(I.sub.HIGH, I.sub.LOW) could be used to directly determine the electron density of the material at that location (i.e., voxel).
[0072] From a computational efficiency point of view, the preferred embodiment uses a lookup table to transform the monoenergetic values at each location within the image into a material value (in this example, rho).
[0073] The underlying physical interactions which determine the attenuation of X-rays are generally characterized by Compton scattering (interacting with loosely-bound electrons) and the photoelectric effect (resonant interactions with electrons in atomic shells). Any physical property strongly dependent on the measured strength of these two kinds of interactions can be evaluated. For example, the mass-density of a material, largely dependent on the kind of atoms the material is composed of (a function of the photoelectric effect) and the number of atoms per volume (a function of the electron density), can be determined using the multiple synthetic monoenergetic images I.sub.HIGH, I.sub.LOW (which could be, for example, I.sub.160, I.sub.40).
[0074] Looking now at
Generation of Lookup Tables for Monoenergetic Sinograms
[0075] The conversion between polyenergetic sinogram data into monoenergetic sinogram data has been described above as a mathematical function, with the preferred embodiment generalized to a lookup table. The mathematical function and/or lookup table contents could be determined entirely from theoretical computations or from empirical data. For both approaches, the goal is to transform the polyenergetic signals measured at the detectors to the expected monoenergetic signals. To verify that the transform operation produces the expected monoenergetic signals, it is usually convenient to select test objects of simple shape and composition. In most embodiments, the expected values are the best scientifically derived values. In our present embodiment, these target values are obtained from data published by the National Institute of Standards and Technology (NIST), but could be obtained from any source.
[0076] Using a completely theoretical approach, one would model the spectrum of the X-ray source, and compute the expected signal level for the different kinds of filtered detectors. The signal levels for the various filtered detectors would be computed a second time assuming a monoenergetic X-ray source. Taking the ratio of the computed detector signals for the monoenergetic X-ray source to the computed detector signals for the polyenergetic source would determine the multipliers necessary to transform a measured polyenergetic signal to the target monoenergy signal.
[0077] Using a completely empirical approach would involve making measurements of many objects (with varying composition and thickness) using a standard broad-spectrum (i.e., polychromatic) X-ray source. The equivalent measurements would be acquired using a monoenergetic source. By comparing values, one could determine the multiplicative values (e.g., A.sub.ENERGY and B.sub.ENERGY) to translate one set of measurements (i.e., the polychromatic measurements) to another set of measurements (i.e., the monochromatic measurements at the monoenergetic energy level ENERGY, e.g., 160 kev, 40 kev, etc.). However, it will be appreciated that a purely empirical approach is challenging because generating monochromatic X-rays is generally difficult, and because the number measurements would be large.
[0078] A practical approach, and the preferred embodiment for the present invention, involves a predominantly theoretical approach which is fine-tuned to match empirical measurements. Known material samples with varying thicknesses can be scanned using a polyenergetic X-ray source to generate polyenergetic data, and then the polyenergetic data can be transformed to corresponding monoenergetic data using the derived lookup tables. The monoenergetic detector response to these known samples are easily computed, and can be compared with the results using the lookup process. The table values can then be adjusted to produce the correct known response.
[0079]
Generation of Lookup Tables for Determining Z.SUB.effective .or Other Material Properties
[0080] The conversion between monoenergetic sinogram data (i.e., g.sub.ENERGY, which could be, for example, g.sub.160, g.sub.40, etc.) and monoenergetic image data (i.e., I.sub.ENERGY, which could be, for example, I.sub.160, I.sub.40, etc.), and material properties, is a mathematical function. In the preferred embodiment, this function is reduced to a tabular form. The values within the table can be derived from the known physical properties of materials or from empirical analysis of data. In the preferred embodiment, the table is empirically derived. For example, samples of varying mean atomic number (Z.sub.effective) are scanned. The ratio of two monoenergetic images (e.g., I.sub.160, I.sub.40) is used as an index into a table which returns the Z.sub.effective value. Thus, to generate the table values, the image ratio and Z.sub.effective value are recorded for a sample material. Data from six sample materials is collected and a best fit function Z.sub.eff(Image Ratio) is determined.
Modifications
[0081] It will be appreciated that still further embodiments of the present invention will be apparent to those skilled in the art in view of the present disclosure. It is to be understood that the present invention is by no means limited to the particular constructions herein disclosed and/or shown in the drawings, but also comprises any modifications or equivalents within the scope of the invention.