MRI Brain Connectivity Matrix Segmentation for Diagnostic Clarity
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Solution Overview
Problem
Current methods for analyzing brain functional localized regions and their inter-regional connectivity using MRI are not practical for clinical diagnosis, as they are complex and not easily understandable by general neuroradiologists or physicians, lacking a framework for definitive diagnosis and screening.
Innovation Solution
An MRI apparatus with processing circuitry that displays a matrix representing inter-regional connectivity between brain functional localized regions, using attention degrees set for each region to selectively display relevant information, allowing for easier diagnosis by dividing brain regions into cortex and white matter regions and utilizing matrices like the Association Fiber Matrix, Commissural Fiber Matrix, Projection Fiber Matrix, and Disease Specific Attention Matrix.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If detailed analysis of all brain functional localized regions and their inter-regional connectivity is performed, then diagnostic accuracy is improved, but the complexity of the diagnostic process increases and becomes difficult for general physicians to understand
Solution Approach 1:
The patent segments the complex brain connectivity analysis into distinct types (association fibers, commissural fibers, projection fibers) and organ systems. By dividing the comprehensive connectivity matrix into manageable segments corresponding to specific fiber types and clinical symptoms, the system maintains diagnostic accuracy while making the information more structured and interpretable for physicians.
Solution Approach 2:
The patent applies local quality by providing different levels of detail for different brain regions and connectivity types based on their clinical relevance. The system highlights specific abnormal regions and their connected areas with varying degrees of detail, allowing physicians to focus on clinically significant areas without being overwhelmed by unnecessary complexity.
2Loss of information
If comprehensive connectivity information for all brain regions is displayed, then complete diagnostic information is provided, but the information becomes difficult to interpret and understand for general neuroradiologists
Solution Approach 1:
The patent extracts and highlights only the most clinically relevant connectivity information based on the type of fiber and associated organ systems. By taking out and emphasizing specific abnormal connections rather than displaying all possible connectivity data, the system maintains information completeness while improving interpretability for physicians.
Solution Approach 2:
The patent dynamically adjusts the display of connectivity information based on the detected abnormalities. The system adapts the level of detail and focus of displayed information according to the specific clinical case, allowing physicians to efficiently interpret relevant data without being overwhelmed by static comprehensive information.
3Reliability
If the diagnostic framework includes multiple types of fiber matrices and attention degrees, then diagnostic performance is improved, but the system complexity increases
Solution Approach 1:
The patent implements a universal diagnostic framework that uses multiple fiber matrices (association, commissural, projection) and attention degree calculations to handle various types of neurological conditions. This multi-functional system can diagnose different diseases by analyzing relevant fiber types and their connections to affected organ systems, improving diagnostic reliability across multiple clinical scenarios.
Solution Approach 2:
The patent performs preliminary calculations of attention degrees for different brain regions based on connectivity strength and clinical relevance before final diagnosis. By pre-processing and ranking regions by their diagnostic importance, the system reduces the complexity of interpreting comprehensive connectivity data while maintaining high diagnostic performance.
Data Source
AI summary
A magnetic resonance imaging apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to perform control to display a matrix representing inter-regional connectivity between a plurality of regions in a brain. The processing circuitry is configured to perform, based on an attention degree set to each of the regions, control to selectively display part of a plurality of regions arranged along a first axis of the matrix.