OPTICAL DEVICE AND METHOD
20220125293 · 2022-04-28
Assignee
Inventors
Cpc classification
A61B5/7264
HUMAN NECESSITIES
A61B2560/0431
HUMAN NECESSITIES
A61B5/4076
HUMAN NECESSITIES
A61B5/7455
HUMAN NECESSITIES
A61B5/725
HUMAN NECESSITIES
International classification
A61B3/00
HUMAN NECESSITIES
A61B5/00
HUMAN NECESSITIES
Abstract
A device (100) for measuring ocular microtremor (OMT) of a patient's eye, comprises a light source (10) for illuminating a target area of the eye with a light beam. The device also comprises a detector (20) arranged to detect scattered light from the interaction of the light beam with the target area of the eye. The device further comprises a focusing lens (30) arranged to collect the scattered light for the detector, and a port in a wall of the device through which the light beam can exit the device and/or through which the scattered light can enter the device. The device is configured to stabilise and/or support the device on or against a patients head. A method of measuring microtremor of an eye is also provided.
Claims
1. A device for measuring ocular microtremor (OMT) of a patient's eye, comprising: a light source for illuminating a target area of the eye with a light beam; a detector arranged to detect scattered light from the interaction of the light beam with the target area of the eye; a focusing lens arranged to collect the scattered light for the detector; and a port in a wall of the device through which the light beam can exit the device and/or through which the scattered light can enter the device; and wherein the device is configured to stabilise and/or support the device on or against a patient's head.
2. The device of claim 1, wherein the lens is positioned a predefined position from the detection and/or the detector is positioned in a Fourier plane of the focusing lens.
3. The device of claim 1 or 2, further comprising one or more support portions configured, in use, to be placed in contact with one or more locations on a patient's head or face and, optionally or preferably, to conform to one or more locations on a patient's head or face.
4. The device of claim 3, wherein the one or more support portions are configured, in use, to position the port at a predetermined distance from said eye during a measurement; and optionally or preferably, within a predetermined volume of space with respect to said eye.
5. The device of claim 3 or claim 4, wherein the position of the light source, the detector and the focusing lens relative to the or each support portion adjustable.
6. The device of any of claims 3 to 5, wherein the light source, the detector and the focusing lens are arranged within a housing, and the housing is moveable relative to the or each support portion to position; and optionally or preferably, wherein the moveable housing is configured to position the port to within a predetermined volume of space with respect to said eye.
7. The device of claim 6, wherein the housing is pivotably and/or slidably coupled to the or each support portion, and optionally or preferably, wherein the device configured to move the housing in one or more directions in response to an operator input.
8. The device of any of claims 3 to 7, wherein the or each support portion comprises an interface portion at a distal end of the or each support portion; and, optionally or preferably, wherein the or each support portion and/or the interface portion is ergonomically shaped to conform to one or more locations on a patient's head or face.
9. The device of claim 8, wherein the or each support portion and/or the interface portion are formed of or comprise a substantially hard or non-deformable material.
10. The device of any preceding claim, wherein, the detector is arranged and configured, in use, to image an interference pattern in the Fourier plane of the focusing lens formed from the scattered light.
11. The device of claim 10, wherein the detector is or comprises an image sensor configured to record images of the interference pattern over a period of time; and optionally or preferably, wherein the imaging sensor has an image capture frame rate of at least 300 Hz.
12. The device of any preceding claim, configured to determine one or more ocular microtremor properties of said eye based on an output signal of the detector; and optionally or preferably, wherein the one or more ocular microtremor properties include a microtremor frequency and/or a microtremor amplitude.
13. The device of any preceding claim, comprising, or configured to be connectable to, a processor configured to perform the ocular microtremor measurement based on an output signal of the detector.
14. The device of any preceding claim, comprising one or more operator inputs to operate the device.
15. The device of any preceding claim, comprising one or more output elements configured to provide one or more output signals to an operator; and optionally or preferably, wherein the one or more output signals is or comprises a visual, audio and/or a haptic signal.
16. The device of claim 15, wherein the one or output signals are configured to indicate measurement information including one or more of: a measurement status, a measurement result, a microtremor amplitude, and a microtremor frequency; and optionally or preferably, wherein at least one of the output elements is a display screen.
17. The device of any preceding claim, wherein the device is a hand held device.
18. The device of any preceding claim, further comprising a handle portion for manipulating the device; and optionally or preferably, wherein the handle portion comprises an ergonomic grip and, optionally or preferably, wherein the handle portion comprises at least one of the operator inputs to operate the device.
19. The device of claim 18 when dependent from any of claims 6 to 17, wherein the handle portion is attachable to the or each support portion and/or the housing; and optionally or preferably, wherein the position and/or orientation of the handle portion with respect to the or each support portion and/or the housing is adjustable.
20. The device of any preceding claim, wherein the focusing lens has a focal length, and the detector is positioned at a distance substantially equal to the focal length from the lens.
21. The device of any preceding claim, comprising an illumination optical path by which the light beam reaches the port from the light source, and a detection optical path by which the scattered light reaches the detector.
22. The device of claim 21, further comprising a beam splitter arranged in the illumination optical path to direct the light beam towards the port and/or arranged in the detection optical path to direct the scattered light to the detector.
23. The device of claim 21 or 22, further comprising a mirror arranged in the illumination optical path to direct the light beam towards the port; and optionally or preferably, wherein the position and/or orientation of the mirror is adjustable.
24. The device of any of claims 13 to 23, wherein the processor is configured to: receive an output signal from the detector, the detector output signal comprising a stream of image data comprising a series of image frames captured over a period of time at a frame rate; and reject or delete image frames from the image data having one or more image frame quality metrics falling outside one or more predefined threshold values; and determine an OMT signal from the remaining image data representative of eye movement over time; and, optionally or preferably, wherein the one or more image frame quality metrics include a total integrated signal across a respective image frame, and/or a height and/or width of an auto correlation peak obtained from a respective image frame.
25. The device of any of claims 13 to 24, wherein the processor is configured to: receive an output signal from the detector, the detector output signal comprising a stream of image data comprising a series of image frames captured over a period of time at a frame rate; reject or delete pairs of image frames from the image data having one or more inter-frame correlation quality metrics falling outside one or more predefined threshold values; and determine an OMT signal from the remaining image data representative of eye movement over time; and, optionally or preferably, wherein the one or more inter-frame correlation quality metrics include one or more signal-to-noise parameters extracted from the cross-correlation of a respective pair of image frames.
26. The device of any of claims 13 to 25, wherein the processor is configured to: receive an output signal from the detector, the detector output signal comprising a stream of image data comprising a series of image frames captured over a period of time at a frame rate; reject or delete image frames from the image data having an inter-frame velocity exceeding a predefined threshold value; and determine an OMT signal from the remaining image data representative of eye movement over time; and, optionally or preferably, wherein the inter-frame velocity is based on the change in cross-correlation peak position between successive pairs of cross-correlated image frames.
27. The device of any of claims 24 to 26 when dependent from claim 15, wherein the processor is configured to provide one or more feedback signals to the one or more output elements for providing device alignment and/or stability feedback to the operator, based on the one or more image frame quality metrics and/or inter-frame correlation quality metrics.
28. The device of any preceding claim, comprising: a first sub-system comprising the detector and the focusing lens, the first sub-system configured to provide a first signal representing angular movements or displacements of said eye relative to the device based on an output signal of the detector; and a second sub-system comprising a second detector arranged to detect scattered light from the interaction of the light beam with a reference target at or on the patient's head and a second focusing lens arranged to collect the scattered light for the second detector, the second sub-system configured to provide a second signal representing angular movements or displacements of said head relative to the device based on an output signal of the second detector, and wherein the device is configured to provide an OMT signal representing angular movements or displacements of said eye relative to said head based on the first and second signals.
29. A method of measuring microtremor of an eye, comprising: providing a device as defined in any of claims 1 to 28; supporting and/or stabilising the device on or against a patient's head; aligning the device to a target area of the eye; detecting scattered light from the interaction of the light beam with the target area of the eye; and determining one or more microtremor properties of the eye based on an output signal of the detector.
30. The method of claim 29, wherein the device comprises one or more support portions, the method further comprising the steps of: placing the one or more support portions in contact with one or more locations on a patient's head or face; and adjusting the position of the light source, detector and focusing lens to align the device to the target area of the eye.
Description
BRIEF DESCRIPTION OF DRAWINGS
[0088] In order that the invention can be well understood, embodiments will now be discussed by way of example only with reference to the accompanying drawings, in which:
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DETAILED DESCRIPTION
[0097]
[0098] The device 100 may be configured and dimensioned to be a handheld device 100, such that it can be held and/or operated using a single hand 400, e.g. as shown in
[0099] The device 100 comprises a plurality of optical elements. The device 100 comprises a light source 10 for illuminating a target area of an eye 200 with a light beam. The target area may be the eye sclera (white of the eye). The device 100 further comprises a detector 20 arranged to detect scattered light from the interaction of the light beam with the target area of the eye 200. For example, the scattered light reaching the detector 20 may be or comprise a fraction of the light beam that is reflected from the target area.
[0100] The device 100 comprises a focusing lens 30 arranged to collect the scattered light for the detector 20. The focusing lens 30 may be arranged in front of the detector 20 and positioned relative to the detector 20, such that the detector 20 is positioned in a Fourier plane of the focusing lens 30. To achieve this, the lens 30 may be positioned at a predefined distance from the detector 20 equal to the focal length f of the lens 30.
[0101] An advantage of the Fourier plane technique is that the OMT measurement is relatively insensitive to the tilt or shape of the surface of the target area and the distance between the target surface and the detector. Further, the angular displacement of the eye is dependent only on the linear speckle image displacement and the focal length of the lens. As such, the optical setup of the device is less stringent than that of systems detecting in the imaging plane where the speckle images are dependent on a number of variables including the wavelength of light and the detector-target distance.
[0102] The focal length f provides a magnifying effect to the motion of the eye. As such, for a given detector, the longer the focal length the better the resolution of device to (rotational) eye motion. Preferably, the focal length f of the lens 30 is less than substantially 10 cm to allow the device 100 to be substantially compact and portable whilst providing adequate resolution (preferably in the range substantially 2-5 μrad or lower).
[0103] The light source 10, the detector 20 and the focusing lens 30 are housed in a housing 120 of the device 100. The housing 120 may substantially enclose the optical elements of the device 100, such as the light source 10, the detector 20 and the focusing lens 30. The housing 120 may comprise a port, opening or aperture 40 in a wall of the housing 120, as shown in
[0104] The device 100 comprises an illumination optical path, by which the light beam reaches the aperture 40 and/or the target area of the eye 200 from the light source 10, and a detection optical path, by which the scattered light reaches the detector 20. In
[0105] The or each aperture 40 may be or comprise an optical window (not shown). The optical window 40 may be optically clear and/or substantially transparent in the wavelength range of interest, e.g. the wavelength range of light emitted by the light source 10 and/or the scattered light from the eye 200. In this way, the housing 120 may fully enclose and/or seal the optical elements within the housing 120 to protect the optical elements from the environment (e.g. from dust or other particulates). The or each window 40 may be or comprise an optical band pass filter configured to transmit the light beam and/or the scattered light in the wavelength range of interest and attenuate ambient light.
[0106] Additionally or alternatively, the device 100 may comprise an optical bandpass filter 50 arranged in the detection optical path P.sub.d front of the detector 20, as shown in
[0107] The device 100 may further comprise a beam splitter 70 arranged in the illumination optical path P.sub.i to direct the light beam towards the aperture 40. The beam splitter 70 is configured to exhibit partial reflectance R (i.e. R<100%) and partial transmittance T (i.e. T<100%) in the wavelength range of interest. As such, the optical intensity of reflected and transmitted light is less than that of the light incident upon the beam splitter 70. This effect is illustrated in
[0108] The beam splitter 70 may also be arranged in the detection optical path P.sub.d to direct the scattered light towards the detector 20, as shown in
[0109] Where a beam splitter 70 is used in the optical set-up, the device 100 may further comprise a beam stopper 60 or beam dump 60 arranged to block and/or terminate the portion of the light beam transmitted through the beam splitter 70 (which is not used to illuminate the eye 200). Preferably, the beam dump 60 may be substantially non-reflective or absorbing to help prevent any residual light beam from reaching the detector 20. The beam splitter 70 and/or the beam dump 60 may be located in the housing 120.
[0110] Although the illumination optical path P.sub.i and the detection optical path P.sub.d at the beam splitter 70 are substantially orthogonal in the arrangement of
[0111] It is beneficial for the device 100 to remain substantially stationary and/or stable with respect to the eye 200 during an OMT measurement. Any unwanted movements of the patient's head 300 relative to the device 100 and/or movements of the device 100 by the operator relative to the patient's head 300 during a measurement acquisition time may have a negative influence on the accuracy, reproducibility and reliability of the OMT measurement (e.g. since the patient's eye sockets participate in the movement of the head 300).
[0112] In a fully handheld device 100, the potential problem of relative movements between the eye 200 and the device 100 is exacerbated, since the operator's hand 400 is inherently less stable than, for example, a fixed measurement apparatus. For example, an operator's hands 400 may shake while holding the device 100, and the outstretched arm has a natural tremor (typically in the frequency range 7 Hz to 12 Hz), both of which may contribute to noise in the OMT measurement.
[0113] To support and/or stabilise the device 100 during an OMT measurement, the device 100 may comprise one or more support portions 140 or mounts 140, as shown in the example embodiment of
[0114] As such, the or each support portion 140 allows the device 100 to be at least partially supported by the patient's head 300 during a measurement. In this way, in use, the device 100 may be able to follow any movements of the patient's head 300, and any vibrations of the operator's hand or arm may be substantially transferred to the patient's head 300 and/or dampened. This may effectively cancel the majority of unwanted relative movements between the device 100 and the eye 200.
[0115] The or each support portion 140 may be in the form of a projection that extends from the housing 120. The distal end 140d of the or each support portion 140 may provide an interface portion 140d configured to be placed in firm contact with the patient's head. In the example shown in
[0116] The support portion 140 and/or the interface portion 140d may be shaped to conform to the one or more locations of the patient's head 300. The interface portion 140 may be or comprise a pad or interface layer for placing in contact with the one or more locations of the patient's head 300. The support portion(s) and the interface portion 140d may be formed from a substantially hard incompressible material, such as a hard plastics material. The interface portion may be ergonomically shaped to conform to one or more locations on a patient's head 300 (e.g. to fit around the patient's eye socket or bridge of the nose). Although only one support portion 140 is shown in
[0117] In an embodiment, the support portion 140 is attachable to the housing in a fixed position and/or orientation.
[0118] In the embodiment shown in
[0119]
[0120] In embodiments where the housing 120 is configured to move relative to the support portion 140 (e.g. via the moveable coupling 150m), the handle 160 may move with the housing 120.
[0121] In an alternative embodiment, the handle 160 may be integrally formed with the support portion 140, or attachable to the support portion 140. As such, in embodiments where the housing 120 is configured to move relative to the support portion 140 (e.g. via the moveable coupling 150m), the handle 160 may not move with the housing 120.
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[0123] In an alternative embodiment of an adjustable device 100, both the housing 120 and the support portion 140 are adjustable and/or movable with respect to the handle 160 (not shown). For example, both the housing 120 and the support portion 140 may be coupled to the handle 160 via a moveable coupling 150.
[0124] In an embodiment, the moveable coupling 150m is a manual and/or electrically controlled multi-axis translation stage (e.g. using piezo actuators, magnetic drives, linear motors, encoders, or motors, or other translations stage technologies known in the art). The translation stage may be a 2-axis stage configured to move the housing in the X and Y directions (e.g. in the vertical plane). Optionally, the translation stage may be a 3-axis stage configured to also move the housing in the Z direction (e.g. in the horizontal plane). The coupling 150m may further permit rotation and/or tilt of the housing 120 relative to the support portion 140. Movement of the housing 120 relative to the support portion 140 allows the device 100 (in particular the light beam P.sub.i exiting the port 40) to be aligned to the target area of the eye 200 during setup of the measurement. It may also allow the device 100 to be adjusted to fit or measure OMT in patients with different sized heads.
[0125] In use, the or each support portion 140 may also provide a pivot point against the patient's head 300 about which an operator may pivot the device 100 and adjust its position, e.g. to adjust the target distance D and/or the target area (i.e. the X, Y position) of the eye 200. The interface portion 140d may be mountable to the device 100 at or near the pivot point.
[0126] The device 100 may further comprise a mirror 80 arranged to direct the light beam to the aperture 40 through the beam splitter 70, as shown in
[0127] The mirror 80 may be mounted in the housing 120 in a fixed position/orientation. Alternatively, the mirror 80 may be adjustable and/or moveable with respect to the housing 120, to adjust the position of the light beam on the eye 200. The movable mirror 80 may be manually operated, or electrically controlled (e.g. comprising motorised mirror mounts, piezo actuators, servos or any other moveable mirror technology). Where the mirror 80 is electrically controlled, the device 100 may be configured to move the mirror 80 in response to an operator input. The moveable mirror 80 may provide for manual or automatic alignment of the light beam to the target area of the eye, e.g. during set up. In an auto-align function, e.g. once initiated by an operator, the device 100 may further be configured to move the mirror 80 in response to a detector output signal to locate the target area whilst maintaining the scattered light substantially within the field of view of the detector 20 (i.e. to maintain an adequate detector signal for the OMT measurement). In this way, the detector output signal may be used as feedback when aligning the device.
[0128] The device 100 may be configured to emit a substantially collimated light beam for illuminating the target area of the eye 200. For example, the light source 10 may be configured to emit a collimated light beam. Alternatively or additionally, the device 100 may comprise one or more collimating optical elements (e.g. lenses) to collimate the light beam emitted from the light source 10 (not shown).
[0129] The wavelength range of interest is the wavelength (or wavelength range) of light emitted from the light source 10. The wavelength emitted by the light source 10 may be in the visible to near infrared (near-IR) range. In an embodiment, the wavelength emitted by the light source 10 may be in the range substantially 500 nm to 850 nm.
[0130] A light beam that is visible to the human the eye may be preferable for device alignment purposes. For example, such a light beam may provide a visible reference or aiming point for the operator to see and use to align the device 100, e.g. so that the light beam illuminates the target area of the eye 200. At the same time, it may also be preferable for the light beam to be only partially visible or weakly visible to the human eye, so that the patient who's eye 200 is being illuminated is not overly aware of the light beam illuminating the eye 200. It will be appreciated that the visibility of the light beam may be adjusted by the choice of wavelength and/or optical power (e.g. longer wavelengths and/or lower power light beams are less visible to the human eye).
[0131] The device 100 may comprise two light sources, each emitting light at a different wavelength. For example, one may emit light in the visible wavelength range for alignment purposes, and the other may emit light in the near-infrared wavelength range for measurement purposes. Both may emit light beams that are substantially coincident at the target area of the eye.
[0132] In an embodiment, the light source 10 emits substantially coherent and monochromatic light. For example, the light source may be or comprise a laser, such as a diode laser. Further, the light source 10 may be a low power laser diode. Alternatively, the light source may or comprise a light emitting diode. The power output of the light source may be less than substantially 3 mW, 2 mW, 1 mW, 0.5 mW, or 0.2 mW.
[0133] It will be appreciated that the optical power of the light beam exiting the aperture 40 for illuminating the eye 200 must be restricted to an eye safe level. The limit for safe exposure of eyes to light (in particular laser radiation) is dependent on the wavelength and the duration of exposure. For example, for direct viewing of a 632.8 nm wavelength laser beam with 10 s exposure time to a retina of an eye with a 7 mm pupil diameter, the maximum permissible exposure is found to be about 380 μW. In the present invention, in normal use, the target area of the eye 200 is the eye sclera (not the pupil).
[0134] The power of the light beam may be limited by the power output of the light source 10. Additionally or alternatively, the power of the light beam may be reduced from the output power of the light source 10 to a suitable eye safe level by the presence of the beam splitter 70 and/or one or more power attenuating elements, such as a neutral density filter (not shown). The device 100 may further comprise a shutter (not shown) to selectively block the illumination path P.sub.i and/or the aperture 40, e.g. when a measurement is not being taken.
[0135] The OMT measurement is based on optical interferometry. In use, the light beam is directed along the illumination optical path P.sub.i to illuminate the target area of the eye 200, and scattered light from the interaction of the light beam with the surface of the target area of the eye 200 travels along the detection optical path to the detector 20. Where the surface of the target area is optically rough (i.e. having roughness on the scale of the wavelength of light illuminating the eye 200), the scattered light from the target area of the eye 200 forms an interference pattern known as a speckle pattern, that is specific to the surface of the illuminated area. The interference pattern can be imaged by the detector 20, e.g. in the Fourier plane of the focusing lens 30. Any movement of the eye 200 relative to the light beam illuminating the target area of the eye 200 alters the surface of the illuminated target area, which in turn alters or displaces the speckle pattern. The measurement of OMT is based on analysing the changes in the speckle pattern over a predetermined measurement time interval (acquisition time). For this purpose, the detector 20 may be a one-dimensional or two-dimensional imaging sensor such as a high speed digital camera with a frame rate faster than (at least twice) the typical OMT frequencies (i.e. up to 150 Hz) to capture the changes in the speckle pattern. As such, the detector 20 may have a frame rate of at least 300 fps. In an embodiment, the frame rate is 500 fps.
[0136] A software algorithm may be used to process the images captured by the detector 20 and extract the features of interest, namely the dominant microtremor frequency and/or the mean microtremor amplitude. Such image processing algorithms have previously been described by E. Kenny et al. in Journal of Biomedical Optics 18(1), 016010 (2013) and involve cross-correlating the digital images captured in the measurement time interval to determine a linear pixel displacement p.sub.x between speckle images. In the Fourier plane technique, the linear pixel displacement can be mapped to the (out of plane) angular rotation AO of the eye 200 using the simple equation Δθ=p.sub.x/2f, where f is the focal length of the focusing lens 30.
[0137] A typical measurement (acquisition) time interval may be 3 s, in which the detector 20 may capture up to 1500 image frames (e.g. captured at a frame rate of 500 fps). In an embodiment, the measurement time may be in the range of substantially 2 s to 10 s, or 2 s to 8 s, 2 s to 6 s, or 3 s to 6 s. Images starting from the second captured image frame are cross-correlated with the previous image frame. Alternatively, the first captured image frame can be cross-correlated with each subsequently captured image frame. The cross-correlation results in a cross-correlation peak representing the relative displacement between speckle patterns in the cross-correlated image frames, at a pixel resolution. Optionally, to increase the accuracy of the result, namely the resolution of the peak, an interpolating sub-pixel algorithm based on curve fitting may be implemented, such as that described by Hung et al., in the Journal of the Brazilian Society of Mechanical Sciences and Engineering, p 215-221, 25(3) (2003). The sub-pixel algorithm effectively increases the number of pixels, thereby increasing the displacement measurement resolution of the cross-correlation peak. In some cases, the measurement resolution may be increased by almost a factor of 10. Optionally, any ambiguous cross-correlation results, which may arise from noise in the captured images or sudden movements of the eye 200 or patient's head 300, may be rejected. The eye movement data or OMT signal is constructed from the change in the cross-correlation peak location over time. The change in the cross-correlation peak location over time is used to calculate the linear pixel displacement p.sub.x of the speckle images over time p.sub.x(t). Because the linear pixel displacement p.sub.x in the speckle pattern maps to the angular rotation/displacement of the eye 200, the angular displacement of the eye 200 over time (i.e. eye movement data) can be calculated. The mean microtremor amplitude (e.g. peak-to-peak) can be readily determined from the eye movement data. The frequency of the microtremor can also be readily determined from the eye movement data, e.g. by counting peaks over time and/or by known Fourier analysis techniques (e.g. by performing a Fourier transform). Optionally, any noise in the eye movement data at frequencies outside the frequency range of interest (i.e. the typical/expected range of OMT frequencies) may be removed by suitable band pass filtering before analysis of the microtremor amplitude and/or frequency.
[0138] The algorithm may also implement active vibration cancellation in the processing of captured image frames.
[0139] The above measurement analysis may be performed by a processor, based on the detector output signal. The processor may be configured to complete the microtremor measurement analysis in less than 1 minute, thus providing rapid measurement feedback to the operator. The device 100 may comprise the processor, allowing the OMT measurement and analysis to be performed by the device 100. Alternatively, the device 100 may be connectable (e.g. during and/or after a measurement) to a separate computing device having a processor (e.g. a laptop or PC) for handling the recording of captured images and/or image processing. For example, the processor may be configured to execute the software algorithm and perform the image processing steps, as described above.
[0140] The software algorithm may incorporate a clinical decision algorithm based on standardised norms of the OMT properties. For example, the decision algorithm may provide a test result, e.g. to indicate an assessment of various neurological conditions, such as concussion. The test results may be determined by comparing the OMT frequency and/or amplitude to a predetermined threshold value. The test result may be presentable as a score and/or a traffic light indicators corresponding to a particular clinical indication (e.g. not concussed, mildly concussed, concussed, etc.). For example, the device 100 may be used in pitch-side concussion testing for various sports, and the outcome of the test may be: green—indicating “safe to return to play”; or red—indicating “concussion detected”.
[0141] The device 100 may further comprise one or more output elements 185 configured to indicate information to the operator. The one or more output elements 185 may further be configured to indicate (e.g. visually and/or audibly) measurement instructions, results, feedback, and/or guidance to an operator. For example, the device 100 may comprise a display screen 185, as shown in
[0142] The device 100 may further comprise a communications unit configured to facilitate data communication with a computing device (not shown). The communications unit may enable data transfer between the device 100 and a computing device, database, server, or cloud server (e.g. via GSM, LORA, NBIOT or other connectivity), e.g. for data recording/storing and/or for analysis. The communications unit may be in data communication with the processor for receiving the OMT measurement data. In use, the communications unit may be in wired or wireless (e.g. Bluetooth or WiFi) communication with the computing device. Alternatively, the device 100 and/or the communications unit may comprise a memory in communication with processor for storing the OMT measurement data, e.g. for later retrieval and/or transmission to the computing device, database, server, or cloud server.
[0143] Various noise and interference sources may be manifest in the image frames captured by the detector 20. The information content of individual image frames and/or the stream of image frames may be degraded over the course of a measurement time interval by, for example, sudden relative movements of the eye and device 100, biospeckle effects, changes in lighting conditions, drift in alignment of the device 100, etc. In particular, relative device motion arising from the operator's hand represents an inherent source of additional noise in hand held device configurations. Such noise sources may negatively impact on the accuracy/quality/reliability of eye displacement information that can be recovered by cross-correlating image frames (as described above). It is therefore important to consider and minimise the impact of such noise sources on the OMT measurement accuracy/quality/reliability, particularly in hand-held device configurations.
[0144] According to an embodiment, the processor is configured to determine various quality metrics to indicate individual frame quality and/or the quality of frame-to-frame cross-correlation that can indicate accuracy/reliability of the OMT measurement. This information can then be provided to the operator as feedback (e.g. via the one or more output elements 185) and/or stored/associated with the OMT measurement (e.g. in the memory) for evaluating the quality of the OMT measurement in real-time and/or at a later time.
[0145] The processor may be configured to determine one or more image frame quality metrics of individual image frames for some or all of the captured image frames based on the respective image frame data. The image frame quality metrics may include but are not limited to the total integrated signal across the image, and/or shape (e.g. height and width) of auto correlation peak, speckle parameters (e.g. size, intensity, contrast), etc. These may be determined during or after image capture.
[0146] In addition, the processor may be configured to determine one or more inter-frame correlation quality metrics of cross-correlated images based on the cross-correlation data to assess the uncertainty in the estimate of the relative displacement of frames from the cross-correlation. The result of the cross-correlation of two successive image frames is the cross-correlation peak superimposed on top of a background/floor signal which represents the background noise. The more correlation between the two images, the greater height the peak has above the background noise level. Conversely, the more displacement between the two image frames the lower the correlation. As such, excessive operator induced device movement may manifest as poor inter-frame correlation and low peak height. The lower the correlation between images means there is greater chance that the peak location does not accurately map to the spatial displacement between the images (and thus the angular eye movement). The inter-frame correlation quality metrics can be based on a variety of quantitative parameters derived from the cross-correlation of image frames, including but not limited to the ratio of the cross-correlation peak height to mean floor/background amplitude, and/or the ratio of the correlation peak height to the variance of floor/background signal, and/or other quantitative signal-to-noise metrics known in the art. The specific relationship between the inter-frame correlation quality metric(s) and the uncertainty in the estimate of frame-to-frame displacements may be established though empirical or deterministic means.
[0147] In some examples, the determined image frame quality metric(s) and/or inter-frame correlation quality metric(s) are compared to predefined threshold values to identify poor quality image frames that are likely to carry little to no valuable information for the purpose of OMT measurements and/or frame-to-frame correlations that are associated with an unacceptable level of inaccuracy in frame-to-frame displacement estimations, respectively. It will be appreciated that the threshold values will be dependent on the specific metric. Less uncertainty in the cross-correlation output is associated with a better overall accuracy/reliability of the eye movement data.
[0148] The threshold values may be an upper and/or lower bound. Image frames with one or more image frame quality metrics, or pairs of image frames with one or more inter-frame correlation quality metrics, falling outside the predetermined threshold values are likely to carry little to no valuable information for the purpose of OMT measurement. The processor may be configured to reject these “poor quality” image frames prior to further downstream processing to prevent introducing unreliable measurement points. This may also reduce the downstream processor load. The remaining “good quality” image frames that are of sufficient quality and are sufficiently correlated can then be used for eye movement data construction and OMT parameter extraction. For example, the processor may be configured to reject image frames with one or more image frame quality metrics falling outside the predetermined threshold values prior to the cross-correlation stage, and/or reject pairs of image frames with one or more inter-frame correlation quality metrics falling outside the predetermined threshold values prior to constructing the eye movement data. Where a pair of image frames has one or more inter-frame correlation quality metrics falling outside the predetermined threshold values, it may be the case that only one of the image frames is of poor quality, In this case, the individual image frame quality metrics of each of the pair may be used to identify the poor quality image frame to be rejected.
[0149] The above described quality metrics can be used to provide feedback information to the operator for the purpose of adjusting alignment and/or stability of the device 100 in real time. This may be provided by the one or more output elements 185, such as a display screen. In particular, this feedback feature may advantageously be used to help achieve acceptable operational requirements in a hand-held device configuration. At the end of the measurement time interval, individual frame and/or frame-to-frame quality metrics may be combined to give the operator feedback information indicative of the overall quality of the OMT measurement. The feedback information provided may be based on average quality metric values determined for each measurement time interval. The feedback information provided may be the quantitative (averaged) quality metric values themselves or other qualitative information derived from the quantitative quality metric values such as simplified numerical and/or textual quality scales (e.g. 1 to 10, poor to good, and/or traffic light scales).
[0150] For example, a characteristic set of values (or ranges thereof) of image frame quality and/or image frame correlation quality metrics can be used to identify whether the captured speckle images are formed by the reflection of light from the target eye area as intended to be used for OMT measurement (such as the sclera), or an erroneous area (e.g. iris or eye lid). In addition, continuous stability feedback can be provided to the user while the measurement takes place.
[0151] Further, where the mirror 80 is moveable to provide automatic alignment of the light beam on the target area of the eye 200, a feedback loop can be implemented using signals derived from the above described quality metrics to automatically optimise alignment. For example, the mirror 80 may be adjusted (to adjust the position of the light beam on the eye 200) based on the signals derived from the above described quality metrics to optimise the quality metrics. These metrics can be also used to derive input signals to an active stabilisation mechanism to counteract unwanted motion artefacts by maintaining the stability of the device or its specific components. For example, the mirror 80 may be dynamically adjusted during measurements based on feedback derived from the above described quality metrics to maintain steady projection of the light beam.
[0152] Sudden movements of the device 100 relative to the eye 200 or vice versa may manifest as high velocity jumps and appear as “steps” in the eye movement data. The velocity of device-to-eye relative movements can be in excess of 10-20 times the typical velocity of OMT. Excessive inter-frame velocity may be incompatible with downstream signal filtering and produce ringing effects which can mask the small amplitude OMT signal in the eye movement data. Accordingly, the processor may be configured to identify and reject image frames having inter-frame velocities above a predefined threshold prior to signal filtering. The inter-frame velocity can be determined from the change in the cross-correlation peak position between successive image frames. The threshold velocity or the limit of tolerable velocity with an acceptable impulse response can be established deterministically or empirically.
[0153] Additionally or alternatively, the device 100 may be configured to actively track motion of the device 100 relative to the subject's head and remove or suppress any corresponding artefacts in the eye movement data arising from such device-head movements (as may be present in hand-held device configurations). Such device-head motion arising from the operator's hand may be quasi periodic and may result in rotational motion of the device relative to the head and eye, and thus be manifest in the speckle images. In particular, the device 100 may be configured to detect motion of a reference target relative to the device 100, which can be used to remove/suppress the unwanted device-head motion component in the net motion captured from the eye in the eye movement data, e.g. by subtraction. The remaining motion is then ‘clean’ eye movement data. The reference target is configured to follow the motion of subject's head relative to the device 100 directly or indirectly. The reference target can be a natural anatomical feature of the subject's head such as the forehead that can facilitate a reliable reference of relative head movement, or the reference target can be an artificially introduced object that can facilitate tracking of the head motion relative to the device 100. In the latter case, the reference target may be or comprise an object coupled to or worn on the head of the subject. As such, the reference target can be separate from or part of the device 100 but is coupled (e.g. optically) in the way that the detector 20 in the device 100 can track the head motion. The device 100 may be configured to measure relative head-to-device motion through a variety of means, for example optical tracking based on laser speckle interferometry, laser interferometry or other means, or by electronic sensing using e.g. capacitive sensing.
[0154] In one example, the reference target may be or comprise a surface from which a laser beam is reflected or scattered from, according to the motion of subject's head. The surface is appropriate to the optical measurement technique employed and may be a mirror, an optically rough surface or a combination of optical elements. Measurement of the reference surface motion may be achieved through optical speckle metrology as described above or optical interferometry as is known in the art. The device may be configured to provide two independent and simultaneous motion measurements, with one incident light beam measuring eye movement as described above and another incident light beam measuring displacement of the reference surface relative to the device 100. The measured movement of the reference surface can then be subtracted from the net motion captured from the eye in the eye movement data.
[0155]
[0156] In another example, the device 100 may be configured optically to be sensitive primarily to relative eye/head movements. In this example, the reference surface or optical element can be included the optical path of the laser beam as it passes from device 100 to the eye 200 and back to the detector 20. The optical configuration is designed so that any relative device-head movement produces compensatory motion in the speckle image falling on the detector. For example. in the Fourier plane speckle method used to measure eye movements described above, any optical configuration that provides an angular correction to the incident or scattered laser light on or from the eye 200 in response to relative angular movement of the device 100 and the reference target is a candidate for reducing the impact of relative head/device movements on OMT measurement.
[0157]
[0158] The required compensatory angular adjustment 2δϕ to the incident light beam can be achieved by first directing (e.g. via a beam splitter 70) the laser beam to a reference target 200′ on the head, such as a mirror. The light beam is then returned to optical elements in the device 100 with any angular adjustment introduced by misalignment of the device 100 to the reference target 200′. The configuration is such as to introduce the appropriate angular correction 24 in the light beam directed to the target 200. Essentially, any configuration that sends the light beam to the target 200 parallel but opposite to the direction in which the light beam is reflected from a plane mirror acting as a reference target 200′ will provide the required angular correction. Two example configurations are shown in
[0159] A series of optical elements (such as beam splitters 70) then directs this light beam to the eye 200, as shown. In
[0160] Alternative configurations can be envisaged where the angular correction is introduced in the light scattered from the eye 200 as it returns to the detector 20 via a reference element, rather than by correcting the direction of the illuminating light beam.
[0161] The device 100 may comprise one or more operator inputs 180 for operating the device 100. The one or more operator input(s) 180 may be or comprise one or more buttons and/or switches, for example, to turn the device 100 on and off, configure an OMT measurement, and/or start/stop an OMT measurement. The handle 160 may comprise at least one of the one or more operator inputs 180, e.g. to start a measurement. The device 100 may be operable to send or transmit data to another computing device or server/database via the communication unit data in response to an operator interacting with one or more of the operator inputs.
[0162]
[0163] Step S4 may comprise recording an output signal of the detector for a period of time, and processing the recorded output signal to determine one or more microtremor properties. Step S4 may further comprise capturing a series of images of the scattered light at the detector, and processing the captured image frames to determine one or more microtremor properties. Capturing the series of image may comprise capturing at a frame rate of at least twice the highest OMT frequency of the OMT frequency band of interest. Processing the captured images may comprise cross-correlating the images to determine an OMT trace representing movement of the eye versus time. Processing the captured images may further comprise filtering the OMT trace to remove or attenuate frequencies outside of the OMT frequency band of interest (e.g. to remove signals associate with unwanted eye motions such as microsaccades).
[0164] Processing the captured images may comprise (prior to cross-correlation): determining, for one or more image frames of the series of images, one or more image frame quality metrics based on the respective image frame data; comparing, for each of the one or more image frames, the one or more image frame quality metrics to one or more predefined threshold values; and rejecting or deleting the images frames with one or more image frame quality metrics falling outside the one or more predefined threshold values. Cross-correlating the images may comprise cross-correlating adjacent pairs of image frames in the series of image frames. Cross-correlation of a pair of adjacent image frames may produce cross-correlation data for the respective pair of cross-correlated images. The OMT trace may be determined from the location of the cross-correlation peak in the cross-correlation data of each pair of cross-correlated images. Processing the captured images may comprise (after cross-correlation): determining, for one or more of the adjacent pairs of images frames, one or more inter-frame correlation quality metrics based on the cross-correlation data, comparing the one or more inter-frame correlation quality metrics to one or more predefined threshold values; and rejecting or deleting the (pairs of) images frames with one or more inter-frame correlation quality metrics falling outside the one or more predefined threshold values. Processing the captured images may comprise: determining an inter-frame velocity based on the change in location of the cross-correlation of successive pairs of cross-correlated images; comparing the inter-frame velocity to a predefined threshold value; and rejecting or deleting the image frames with an inter-frame velocity exceeding the threshold value.
[0165] Step S2 may further comprise aligning the light beam with the target area of the eye, and optionally or preferably, adjusting and/or moving the housing and/or support portions to align the light beam with the target area of the eye. Aligning the device may further comprise adjusting and/or moving the housing relative to the support portion(s).
[0166] From reading the present disclosure, other variations and modifications will be apparent to the skilled person. Such variations and modifications may involve equivalent and other features which are already known in the art, and which may be used instead of, or in addition to, features already described herein.
[0167] Although the appended claims are directed to particular combinations of features, it should be understood that the scope of the disclosure of the present invention also includes any novel feature or any novel combination of features disclosed herein either explicitly or implicitly or any generalisation thereof, whether or not it relates to the same invention as presently claimed in any claim and whether or not it mitigates any or all of the same technical problems as does the present invention.
[0168] Features which are described in the context of separate embodiments may also be provided in combination in a single embodiment. Conversely, various features which are, for brevity, described in the context of a single embodiment, may also be provided separately or in any suitable sub-combination.
[0169] For the sake of completeness it is also stated that the term “comprising” does not exclude other elements or steps, the term “a” or “an” does not exclude a plurality, and any reference signs in the claims shall not be construed as limiting the scope of the claims.