AI Breast Density Assessment from Mammography Images
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Solution Overview
Problem
Current breast cancer risk assessment methods are labor-intensive and unreliable due to reliance on manual density measurements by experts, which are influenced by technical conditions such as radiation dose and imaging device manufacturer, necessitating an automated and cost-effective solution for accurate breast density assessment.
Innovation Solution
A system and method utilizing machine-learning-based artificial intelligence to perform multilevel breast density assessment and pattern analysis from mammography images, integrating image-based and clinical information to calculate breast cancer risk, with a processor executing a breast cancer risk assessment program to generate assessment data and apply preset weights for accurate risk calculation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual breast density measurement by experts is used, then measurement accuracy is improved, but labor intensity increases and cost-effectiveness deteriorates
Solution Approach 1:
The patent replaces the manual mechanical measurement system (expert visual assessment) with an automated image processing system using computer algorithms to calculate breast density from mammography images, thereby maintaining measurement accuracy while eliminating labor-intensive operations
Solution Approach 2:
The system enables automatic self-assessment of breast density through algorithmic processing of mammography images, eliminating the need for expert intervention and making the measurement process independent, automated, and scalable
2Measurement precision
If manual breast density measurement by experts is used, then measurement accuracy is improved, but reliability deteriorates due to variation depending on technical conditions
Solution Approach 1:
The patent transforms the measurement approach by changing from subjective expert assessment to objective algorithmic calculation based on standardized image parameters, ensuring consistent and reliable results across different technical conditions such as radiation dose and imaging device manufacturer
3Productivity
If automated breast density assessment is implemented, then productivity and cost-effectiveness are improved, but measurement precision may deteriorate
Solution Approach 1:
The patent replaces manual measurement with automated image processing algorithms that calculate breast density objectively from mammography images, maintaining measurement precision while achieving high productivity and cost-effectiveness through automation
Data Source
AI summary
A breast cancer risk assessment method of a breast cancer risk assessment system using a mammography image according to an embodiment includes generating, by the breast cancer risk assessment system, assessment data including breast density information generated by measuring density of an assessment target breast from a mammography image of the assessment target breast, and breast pattern information generated by extracting a characteristic pattern of the assessment target breast from the mammography image, and calculating, by the breast cancer risk assessment system, a breast cancer occurrence risk degree of the assessment target breast by applying a preset weight to each of pieces of information included in the assessment data.