System and method for tissue analysis using remote PPG
A tissue analysis system and method process images to derive a remote PPG perfusion map from PPG amplitude levels obtained from the images as well as a PPG delay map from PPG relative delays between the PPG signals for each image region (pixel) with respect to a reference signal. The images are segmented into one or more tissue regions based on the PPG delay map (or segmentation information identifying tissue regions derived from the PPG delay map are received as input). The different tissue regions have distinct PPG delay characteristics. A level of perfusion can then be determined separately for each tissue region. Thus PPG delay information is used to enable different tissue types to be identified.
1 . A system for tissue analysis, comprising:
an image sensor configured to capture images of tissue; and
a processor adapted to receive images captured by the image sensor and to process the images to:
derive a photoplethysmography (PPG) perfusion map from PPG amplitude levels obtained from the images;
derive a PPG delay map from PPG relative delays between different image regions, wherein the relative delays comprise a delay relative to a reference PPG signal which is an average delay time period for all image regions for a frame of image data;
segment the images into one or more tissue regions based on the PPG delay map or receive segmentation information identifying tissue regions derived from the PPG delay map, wherein the different tissue regions have distinct PPG delay characteristics; and
determine a level of perfusion separately for each tissue region.
2 . The system of claim 1 , wherein the processor is adapted to segment the images based on regions with distinct ranges of PPG delay.
3 . The system of claim 2 , wherein the processor is adapted to segment the images using a machine learning algorithm.
4 . The system of claim 1 , wherein the processor is adapted to control a display to display the PPG perfusion map and the PPG delay map, and receive the segmentation information from a user to whom the PPG perfusion map and PPG delay map have been displayed.
5 . The system of claim 1 , wherein the processor is adapted to normalize the level of perfusion for each tissue region relative to a maximum level of perfusion within each tissue region.
6 . The system of claim 1 , wherein the reference PPG signal is an average PPG signal for a global region of interest including all of the tissue regions.
7 . The system of claim 1 , wherein the tissue regions comprise tissue regions supplied by different arterial branches.
8 . The system of claim 1 , further comprising an image sensor for capturing the images.
9 . A computer-implemented tissue analysis method, comprising:
receiving image sensor images;
deriving a photoplethysmography (PPG) perfusion map from PPG amplitude levels obtained from the images;
deriving a PPG delay map from PPG relative delays between PPG signals of each image region with respect to a reference signal, wherein the relative delays comprise a delay relative to a reference PPG signal which is an average delay time period for all image regions for a frame of image data;
segmenting the images into one or more tissue regions based on the PPG delay map or receiving segmentation information identifying tissue regions derived from the PPG delay map, wherein the different tissue regions have distinct PPG delay characteristics; and
determining a level of perfusion separately for each tissue region.
10 . The method of claim 9 , comprising segmenting the images based on regions with distinct range of PPG delay.
11 . The method of claim 9 , comprising normalizing the level of perfusion for each tissue region relative to a maximum level of perfusion within each tissue region.
12 . The method of claim 9 , wherein said relative delays comprise a delay relative to a reference PPG signal which is a spatial average of all the image regions in the image sensor image.
13 . A non-transitory computer-readable storage medium having stored a computer program comprising instructions to perform a method comprising:
receiving image sensor images;
deriving a photoplethysmography (PPG) perfusion map from PPG amplitude levels obtained from the images;
deriving a PPG delay map from PPG relative delays between PPG signals of each image region with respect to a reference signal, wherein the relative delays comprise a delay relative to a reference PPG signal which is an average delay time period for all image regions for a frame of image data;
segmenting the images into one or more tissue regions based on the PPG delay map or receiving segmentation information identifying tissue regions derived from the PPG delay map, wherein the different tissue regions have distinct PPG delay characteristics; and
determining a level of perfusion separately for each tissue region.
14 . A processor configured to:
derive a photoplethysmography (PPG) perfusion map from PPG amplitude levels obtained from the images;
derive a PPG delay map from PPG relative delays between different image regions, wherein the relative delays comprise a delay relative to a reference PPG signal which is an average delay time period for all image regions for a frame of image data;
segment the images into one or more tissue regions based on the PPG delay map or receive segmentation information identifying tissue regions derived from the PPG delay map, wherein the different tissue regions have distinct PPG delay characteristics; and
determine a level of perfusion separately for each tissue region.