Biological Tissue Image Analysis via Geometric Contour Fitting
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current biopsy examination methods rely on subjective interpretation by professionals, leading to varying assessment accuracy and lack of quantitative analysis of tissue morphology, limiting the objective assessment and advancement of related technologies.
Innovation Solution
A method and system for analyzing biological tissue images that involves image pre-processing, contour fitting using edge-finding methods, and calculating regional averaged object sizes and angles to provide quantitative morphological features, enabling precise and objective analysis of tissue morphology.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If professionals perform subjective interpretation of tissue images, then assessment can be conducted, but assessment accuracy varies and consistency is poor
Solution Approach 1:
The patent replaces the manual mechanical interpretation process with an automated image analysis system using edge-finding algorithms and geometric shape fitting. The system automatically identifies contours, fits geometric shapes to target objects, and calculates quantitative parameters, eliminating subjective human interpretation and providing consistent, precise measurements across all tissue images.
Solution Approach 2:
The system enables self-service analysis where the tissue images are automatically processed without requiring professional interpretation. The automated algorithm performs edge detection, contour identification, geometric fitting, and parameter calculation independently, providing reliable and consistent results without human intervention.
2Productivity
If qualitative description of tissue morphology is used, then analysis can be performed quickly, but objective assessment is limited and technological advancement is hindered
Solution Approach 1:
The patent transforms qualitative morphological descriptions into quantitative parameters by calculating geometric properties such as area, perimeter, circularity, and aspect ratio of fitted shapes. This parameter transformation enables precise objective assessment while maintaining efficient automated processing, resolving the contradiction between analysis speed and quantification accuracy.
3Measurement precision
If automated image analysis system is developed, then quantitative analysis with high accuracy can be achieved, but system complexity increases
Solution Approach 1:
The patent segments the image analysis process into distinct modular steps: edge detection, contour identification, geometric shape fitting, and parameter calculation. Each module performs a specific function independently, making the overall system more manageable and easier to implement despite the complexity of achieving high-precision quantitative analysis.
Data Source
AI summary
A method for analyzing biological-tissue image includes following steps. A plurality of biological-tissue images are provided, and each of the biological-tissue images includes a plurality of target object image blocks. An image pre-processing step is performed so as to obtain a plurality of processed biological-tissue images. A fitting step is performed so as to obtain a plurality of object fitting images of the target object image blocks. A sampling step is performed, wherein a target region of each of the processed biological-tissue images is selected, and the target region includes the object fitting images. A calculating and analyzing step is performed so as to obtain an analysis result of a target regional center of the biological-tissue images.