System and Method for Three Dimensional Medical Imaging with Structured Light
First Claim
Patent Images
1. A structured light illumination (SLI) medical imaging system, comprising:
- an SLI image sensor system that captures one or more two dimensional (2D) images of a skin area while a structured light pattern is projected onto the skin area;
a medical image processing module that receives the one or more 2D images and generates a three dimensional (3D) surface map of the skin area;
a feature detection module that identifies and categorizes a skin lesion from the 3D surface map of the skin area and generates feature data of the identified skin lesion; and
a feature analysis module that analyzes the feature data of the identified skin lesion to generate analysis data.
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Abstract
An SLI medical image sensor system captures one or more images of a skin lesion and generates a 3D surface map of the skin lesion using SLI techniques. A feature detection module processes the 3D surface map to detect certain characteristics of the skin lesion. Feature data of the skin lesion is generated such as size, shape and texture. A feature analysis module processes the feature data of the skin lesion. The feature analysis module compares the skin lesion to prior images and feature data for the skin lesion. The feature analysis module categorizes the skin lesion based on templates and correlations of types of features.
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Citations
20 Claims
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1. A structured light illumination (SLI) medical imaging system, comprising:
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an SLI image sensor system that captures one or more two dimensional (2D) images of a skin area while a structured light pattern is projected onto the skin area; a medical image processing module that receives the one or more 2D images and generates a three dimensional (3D) surface map of the skin area; a feature detection module that identifies and categorizes a skin lesion from the 3D surface map of the skin area and generates feature data of the identified skin lesion; and a feature analysis module that analyzes the feature data of the identified skin lesion to generate analysis data. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method for processing images of a skin area by a processing module, comprising:
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receiving a 3D surface map of a skin area for processing by a processing module; identifying a skin lesion from the 3D surface map of the skin area and categorizing the identified skin lesion as one of a plurality of types of skin lesion by the processing module; and generating feature data of the identified skin lesion from the 3D surface map of the identified skin lesion by the processing module, wherein the feature data includes texture data and position and size measurements of the identified skin lesion. - View Dependent Claims (12, 13, 14, 15, 16)
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17. A method for imaging a skin area for screening for melanoma, comprising:
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capturing one or more two dimensional (2D) images of a skin area with a structured light pattern projected onto the skin area; generating the 3D surface map of the skin area from the 2D images, wherein each point of the 3D surface map includes 3D coordinates and texture data; identifying a plurality of skin lesions from the 3D surface map of the skin area and categorizing the plurality of identified skin lesions as one of a plurality of types of skin lesion; determining a correlation of one or more characteristics of the plurality of identified skin lesions in the skin area of the 3D surface map; comparing one or more characteristics of one of the plurality of identified skin lesions with the correlation to generate deviations from the correlation; determine whether the deviations exceed a predetermined threshold; and generate a flag for the one of the plurality of identified skin lesions when the deviations of the correlation exceed the predetermined threshold. - View Dependent Claims (18, 19, 20)
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Specification