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US 11,769,264 B2Granted
Method and system for imaging a biological tissue
AssigneeOptina Diagnostics, Inc.
InventorsJean Philippe Sylvestre, David Lapointe, Claudia Chevrefils, Reza Jafari
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Abstract
The present disclosure relates to a method and a system for imaging a biological tissue. A monochromatic image of the biological tissue is obtained. A texture analysis of the biological tissue is performed using spatial information of the monochromatic image to identity features of the biological tissue. A texture image is generated based on the features of the biological tissue. The biological tissue of the subject is classified as normal or abnormal at least in part based on a comparison between first order statistics of the texture image and predetermined values.
Claims12
A method for imaging a biological tissue, comprising:
- obtaining a monochromatic image of the biological tissue;
- performing a texture analysis of the biological tissue using spatial information of the monochromatic image of the biological tissue to identity features of the biological tissue;
- generating a texture image based on the features of the biological tissue by:
- defining a moving window having a k·l size, wherein k is a number of pixels of the moving window defined in a first dimension of the image of the biological tissue and wherein l is a number of pixels of the moving window defined in a second dimension of the image of the biological tissue,
- using information from the image of the biological tissue contained in the moving window to calculate a value of a pixel of the texture image,
- successively displacing the moving window by a first predetermined number of pixels in the first dimension of the image of the biological tissue,
- repeating the calculation of pixel values of the texture image following each displacement of the moving window in the first dimension of the image of the biological tissue,
- successively displacing the moving window by a second predetermined number of pixels in the second dimension of the image of the biological tissue, and
- repeating the calculations of pixel values of the texture image and the displacements of the moving window over the first dimension of the image of the biological tissue following each displacement of the moving window over the second dimension of the image of the biological tissue;
- and
- classifying the biological tissue of the subject as normal or abnormal at least in part based on a comparison between first order statistics of the texture image and predetermined values.
8 more elements
A system for imaging a biological tissue, comprising:
- a receiver of a monochromatic image of the biological tissue;
- and
- a processor operatively connected to the receiver, the processor being configured to:
- perform a texture analysis of the biological tissue using spatial information of the monochromatic image of the biological tissue to identity features of the biological tissue;
- generate a texture image based on the features of the biological tissue by:
- defining a moving window having a k·l size, wherein k is a number of pixels of the moving window defined in a first dimension of the image of the biological tissue and wherein l is a number of pixels of the moving window defined in a second dimension of the image of the biological tissue,
- using information from the image of the biological tissue contained in the moving window to calculate a value of a pixel of the texture image,
- successively displacing the moving window by a first predetermined number of pixels in the first dimension of the image of the biological tissue,
- repeating the calculation of pixel values of the texture image following each displacement of the moving window in the first dimension of the image of the biological tissue,
- successively displacing the moving window by a second predetermined number of pixels in the second dimension of the image of the biological tissue, and
- repeating the calculations of pixel values of the texture image and the displacements of the moving window over the first dimension of the image of the biological tissue following each displacement of the moving window over the second dimension of the image of the biological tissue;
- and
- classify the biological tissue of the subject as normal or abnormal at least in part based on a comparison between first order statistics of the texture image and predetermined values.
10 more elements
Dependencies are inferred from the claim text.