Pupillometer for lesion location determination
11684259 · 2023-06-27
Assignee
Inventors
Cpc classification
International classification
A61B3/18
HUMAN NECESSITIES
A61B3/00
HUMAN NECESSITIES
A61B3/11
HUMAN NECESSITIES
A61B3/14
HUMAN NECESSITIES
A61B3/15
HUMAN NECESSITIES
Abstract
The present disclosure relates to a novel pupilometer and method of using the pupilometer to record and analyze direct and consensual reflex of pupils to identify brain lesion locations of a patient with brain injuries.
Claims
1. An electronic flashlight-like pupillometer for measurement of direct and consensual pupillary light responses of the eyes of a patient, which pupillometer comprises: a housing; an imaging device in the housing; a set of infrared light sources in the housing for image and/or video acquisition; an infrared light filter in front of the imaging device in the housing that allows the passage of infrared light and substantially blocks all visible lights; a first visible light source in the housing that can provide a visible light to the first eye of the patient; a second visible light source that is outside of the housing, extendable from the housing, and can provide a visible light to the second eye of the patient when the imaging device is simultaneously taking image and/or video of the first eye; an image and/or video acquisition component consisting of a light subsystem and an image/video acquisition subsystem configured to manipulate the visible light source, the infrared light source, and the imaging device for acquiring image/video from both eyes, and recording direct and consensual pupillary reflex response: and a data processing component configured to determine pupil size and shape using a convolution neural network and to quantify pupillary response for disease diagnosis and determination of lesion locations; wherein the infrared light source in the housing can continuously illuminate the first and/or second eye of the patient with infrared light from the infrared light source during a test to provide the necessary illumination for the image/video acquisition.
2. The device of claim 1, wherein the device comprises an optional third visible light source that is outside of the housing, is extendable from the housing, and can provide visible light to the second eye, and the second and the third visible light sources are designed to ensure the second and the third visible light sources can provide visible light to either e.sub.ye when the image/video of the other eye is being captured.
3. A method of detecting lesion location of brain nerves through pupillary reflex, wherein the method comprises; aiming the device of claim 1 to a first eye of a patient to measure a pupillary reflex; continuously illuminating the first eye of the patient with the infrared light from the infrared light source for imaging device to capture image/video or image/video related data of the pupillary reflex from the first eye; turning on the first visible light to the first eye and capturing image/video or image/video related data of the direct pupillary reflex response of the first eye triggered by the visible light from the first visible light source; turning off the first visible light and allowing the pupil of the first eye to dilate; keep aiming the device of claim 1 to the first eye of the patient to measure a pupillary reflex, and aiming the second or third visible light to the second eye of the patient, turning on the second or third visible light and recording the consensual pupillary reflex response of the first eye triggered by the second or third visible light applied on the second eye; aiming the device of claim 1 to the second eye of a patient to measure a pupillary reflex, continuously illuminating the second eye of the patient with the infrared light from the infrared light source for imaging device to capture image/video or image/video related data of the pupillary reflex from the second eye; turning on the first visible light to the second eye and recording the direct pupillary reflex response of the second eye triggered by the visible light from the first visible light source; turning off the first visible light and allowing the pupil of the second eye to dilate; keep aiming the device of claim 1 to the second eye of the patient to measure a pupillary reflex and aiming the second or third visible light to the first eye of the patient, turning on the second or third visible light and recording the consensual pupillary reflex response of the second eye triggered by the second or third visible light.
4. The method of claim 3, wherein the method further comprises analyzing the acquired image/video or image/video related data and determining lesion location of brain nerves.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
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DETAILED DESCRIPTION
(10) For the purposes of promoting an understanding of the principles of the present disclosure, reference will now be made to the embodiments illustrated in the drawings, and specific language will be used to describe the same. It will nevertheless be understood that no limitation of the scope of this disclosure is thereby intended.
(11) In the present disclosure the term “about” can allow for a degree of variability in a value or range, for example, within 10%, within 5%, or within 1% of a stated value or of a stated limit of a range.
(12) In the present disclosure the term “substantially” can allow for a degree of variability in a value or range, for example, within 90%, within 95%, or within 99% of a stated value or of a stated limit of a range.
(13) The present disclosure provides novel functions not existing in the pupillometers currently on the market such as NeurOptics' NPi®-200 Pupillometer.
(14) The present disclosure provides a novel device that has the capability of determining all possible lesion sites from pupillary reflex. Current pupillometers on the market exam left and right eyes independently. Therefore, only direct pupillary light response of each eye is measured. While the measurement of direct pupillary light reflex may determine the pupil size and the constrict process when the eye is illuminated, it cannot get the consensual light response which needs to shine light on the other eye. Because both direct and consensual pupillary light responses are required for most disease diagnosis and lesion location determination. Pupillometers currently on the market cannot diagnose majority of disease or estimate lesion locations
(15) This present disclosure provides novel device and method that can measure both direct and consensual light responses for disease diagnosis and classification, and lesion location estimation. It will be ideal for evaluating optical nerve and oculomotor nerve integrity, brain stem assessment and lesion localization estimation for clinical applications in emergency rooms, critical care, and ambulances.
(16) The following Table 1 shows the new functions of the invention in comparison with NeurOptics' Pupillometer.
(17) TABLE-US-00001 TABLE 1 NeurOptics Pupillometer This present disclosure Measure each eye independently. Acquire both direct and Unable to detect the symptoms when consensual pupillary reflexes with referencing consensual pupillary controlled light stimulus schemes. reflex is needed. Able to detect all abnormal pupillary reflex changes. Estimate the pupil size and shape with Use deep learning to track traditional contour detection algorithms. the pupil reflex. Does not provide the information of Provide lesion sites. lesion sites.
(18) Methods
(19) Schematic Diagram
(20) As illustrated in
(21) In the top sectional views of the device as shown in
(22) The processing flow scheme is shown in
(23) The image and video acquisition system is to record pupil size constriction and dilation during pupillary reflex. It consists of the light subsystem and image/video acquisition subsystem.
(24) The light subsystem uses two types of lights: 1) visible light as stimulus for pupillary reflex activation and stimulation (Visible light); 2) Infrared light for image and video acquisition (IR light). Using IR light for data acquisition has the following advantages: a) The device can work on any light conditions even in very dim or dark environments; b) The invisible IR lights will not interfere with the stimulus lights or affect pupillary reflex because it only responses to visible lights; and c) The acquired IR images/videos will have the consistent contrast and patterns after removing the visible light during the image acquisition.
(25) The image/video acquisition procedures are shown in
(26) Circle 1: Aim the device to one eye (the left eye for example) and start the exam. IR light is on and the data acquisition is on during the whole process.
(27) Circle 2: The visible light shining on the left eye is on. The pupil starts to constrict for healthy subjects due to the pupillary reflex response.
(28) Circle 3: The visible light is off. The pupil starts to dilate.
(29) Circle 4: The visible light shining on the right eye is on (the opposite eye). The device keeps recording the pupillary response of the left eye to the illumination on the right eye. (consensual response).
(30) Circle 5: The visible light is off. The pupil starts to dilate.
(31) Circle 6: IR light is off. Data acquisition stops.
(32) Pupil Size and Shape Determination
(33) Tremendous progresses have been made in image analysis primarily due to recent breakthroughs of deep learning. Deep learning allows multiple levels of feature abstraction using models composed of multiple learning layers. It has dramatically pushed the limits of the-state-of-the-art levels in image processing and computer vision, the first and most successful application area of deep learning.
(34) The pupil shape and size are determined by a fast convolutional neural network. The network was trained by a large number of manually segmented left and right eye images. This deep learning based technique has achieved 100% accuracy in finding the shape and size of pupils.
(35) Lesion Location Estimation
(36) There are four types of pupillary light reflex responses: 1) Left direct pupillary reflex: The left pupil's response when the left eye is illuminated; 2) Left consensual pupillary reflex: The left pupil's response when the right eye is illuminated; 3) Right direct pupillary reflex: The right pupil's response when the right eye is illuminated; and 4) Right consensual pupillary reflex: The right pupil's response when the left eye is illuminated.
(37) The neural pathway is consisted by four main neural segments for each side, which can be numbered from 1 to 8 with odd numbered segments for the left side and even numbered segments for the right side by convention. In
(38) Each pupillary reflex response is either normal or abnormal. Therefore, there are a total of 16 cases for possible direct and consensual pupillary reflex responses of both eyes. Only 10 unique cases when the symmetrical pathway between the left and right side is considered. The rest 6 cases are mirrors between left and right eyes. When the pupillary responses for both eyes are acquired, the possible lesion locations can be determined or estimated. Table 2 provides all 16 cases for pupillary responses.
(39) TABLE-US-00002 TABLE 2 All 16 cases for pupillary responses and lesion location estimation Left Left Right Right Lesion Case Direct Consensual Direct Consensual Locations* 1 Normal Normal Normal Normal Normal 2 Normal Abnormal Normal Normal 4 3 Abnormal Normal Normal Normal 5 4 Normal Normal Abnormal Normal 6 5 Normal Normal Abnormal Abnormal 8 6 Normal Normal Normal Abnormal 3 7 Normal Abnormal Abnormal Normal 2 8 Abnormal Normal Normal Abnormal 1 9 Abnormal Abnormal Normal Normal 7 10 Normal Abnormal Normal Abnormal (3, 4) 11 Abnormal Normal Abnormal Normal (5, 6) 12 Abnormal Normal Abnormal Abnormal (1, 8), (1, 6), (5, 8) 13 Normal Abnormal Abnormal Abnormal (2, 8), (2, 3), (4, 8) 14 Abnormal Abnormal Normal Abnormal (1, 7), (1, 4), (3, 7) 15 Abnormal Abnormal Abnormal Normal (2, 7), (2, 5), (6, 7) 16 Abnormal Abnormal Abnormal Abnormal (1, 2), (7, 8) etc . . . *Note: For example (1, 7) stands for the lesion locations in the neural segment 1 and 7
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(42) In one embodiment, the present disclosure provides a novel pupilometer device, wherein the device comprises: a housing; an imaging device in the housing; a set of infrared light sources in the housing for image and/or video acquisition; an infrared light filter in the housing that allows the pass of infrared light and substantially blocks all visible lights; a first visible light source in the housing that is capable of providing a visible light to the first eye of a patient; a second visible light source that is outside of the housing and is capable of providing a visible light to the second eye of the patient when the imaging device is simultaneously taking image and/or video from the first eye, wherein the second visible light source is extendable from the housing and is capable of reaching the second eye; and a control system configured to manipulate the visible light source, the infrared light source and the imaging device; wherein the infrared light source in the housing is capable of continuously illuminating the first and/or second eye of the patient with infrared light from the infrared light source during a test to provide the necessary illumination for the illumination.
(43) In one embodiment, the present disclosure provides a novel pupilometer device, wherein the device comprises an optional third visible light source that is outside of the housing, is extendable from the housing, and is capable of reaching to the second eye, wherein the second and the third visible light sources are designed to ensure the second and the third visible light sources capable of provide visible light to either eye when the image/video of other eye is being captured.
(44) In one embodiment, the present disclosure provides a method of detecting lesion location of brain nerves through pupillary reflex, wherein the method comprises: aiming the device of the present disclosure to a first eye of a patient; continuously illuminating the first eye of the patient with the infrared light from the infrared light source for imaging device to capture image/video or image/video related data of the pupillary reflex from the first eye; turning on the first visible light to the first eye and capturing image/video or image/video related data of the direct pupillary reflex response of the first eye trigged by the visible light from the first visible light source; turning off the first visible light and allowing the pupil of the first eye to dilate; keeping aiming the device of the present disclosure to the first eye of the patient, and aiming the second or third visible light to the second eye of the patient, turning on the second or third visible light and recording the consensual pupillary reflex response of the first eye trigged by the second or third visible light applied on the second eye; aiming the device of the present disclosure to the second eye of a patient; continuously illuminating the second eye of the patient with the infrared light from the infrared light source for imaging device to capture image/video or image/video related data of the pupillary reflex from the second eye; turning on the first visible light to the second eye and recording the direct pupillary reflex response of the second eye trigged by the visible light from the first visible light source; turning off the first visible light and allowing the pupil of the second eye to dilate; keeping aiming the device of the present disclosure to the second eye of the patient, and aiming the second or third visible light to the first eye of the patient, turning on the second or third visible light and recording the consensual pupillary reflex response of the second eye trigged by the second or third visible light.
(45) In one embodiment, the present disclosure provides a method of detecting lesion location of brain nerves through pupillary reflex, wherein the method further comprises analysis of the acquired image/video or image/video related data and determine lesion location of brain nerves.
(46) Those skilled in the art will recognize that numerous modifications can be made to the specific implementations described above. The implementations should not be limited to the particular limitations described. Other implementations may be possible.