Breast Density Assessment via Multi-View Image Integration
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Solution Overview
Problem
Current imaging systems face challenges in automating the assessment of breast density and cancer detection due to variations in image processing, lack of automation, minimal correlation between modalities, non-comparative matching, and subjective interpretation, leading to inconsistent and unreliable diagnostic results.
Innovation Solution
A system that automatically assesses quantitative breast density by simultaneously processing multiple images using diagnostic markers, modeling geometric changes, comparing density across different views and over time, and integrating CAD markers to provide a continuous and accurate breast tissue composition analysis, enhancing diagnostic accuracy and treatment planning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple images are processed separately to assess breast density, then diagnostic information is available from multiple views, but the results are inconsistent and unreliable due to variations in imaging parameters and lack of integration
Solution Approach 1:
The patent combines multiple breast images (craniocaudal and mediolateral oblique views) into a single integrated assessment. The system processes images from different views simultaneously and integrates the density measurements to produce a unified breast density classification, eliminating inconsistencies that arise from separate processing of each image.
Solution Approach 2:
The imaging system performs multiple functions: it captures images from different views, processes each image for density information, integrates the results, and provides a unified breast density assessment. This multi-functional approach allows the system to handle the complexity of multiple imaging parameters while delivering consistent results.
2Manufacturing precision
If slanted compression paddles are used to compress breast tissue, then breast thickness variation is captured, but breast density measurement accuracy deteriorates due to large variations in breast height
Solution Approach 1:
The patent transitions from two-dimensional density measurements in individual images to a three-dimensional integrated assessment by combining multiple views. This dimensional approach allows the system to account for breast thickness variations and slant effects, producing more accurate density measurements that are not skewed by compression paddle angle.
3Productivity
If images are processed one at a time due to large file sizes, then processing requirements are manageable, but diagnostic accuracy is reduced by missing comparative information
Solution Approach 1:
The system performs preliminary processing of each image to extract key density features and characteristics before integrating them. This preliminary extraction of essential information allows the system to handle large images efficiently while preserving the comparative diagnostic information needed for accurate breast density assessment.
Data Source
AI summary
The present invention relates to an imaging technique and an imaging system and more particularly to an automatic assessment of quantitative measure(s)/properties(s) of an object wherein, for example, an imaging system is used to capture an image, following which image properties are quantified using image processing techniques. An imaging technique obtains an image of an object along a first axis, or by way of a first technique, and subsequently obtains an image of the object along a second axis, or by way of a second technique. One or more pixels from the first image are selected and designated as reference pixels. An automated comparison between corresponding regions of the first and second images are then performed which is based upon the reference pixels, so as to indicate regions of interest.