3D CNS Structure Analysis for Predicting Neurological Progression
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Solution Overview
Problem
Current MS diagnosis and disease monitoring techniques are limited by the lack of effective analysis of 3D representations of CNS structures, leading to difficulties in identifying accurate imaging markers for progressive disease progression and varying diagnostic accuracy due to heterogeneous lesions and age-related changes.
Innovation Solution
A method and system for analyzing 3D representations of CNS structures using 3D imaging devices to capture and align image data at different time points, calculating structural metrics, and identifying patterns of change to determine the probability of neurological condition progression.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If 2D MRI images are used for MS diagnosis, then the diagnostic process is simple and widely accessible, but the diagnostic accuracy is limited due to inability to fully characterize lesion heterogeneity and spatial distribution
Solution Approach 1:
The patent transitions from 2D MRI image analysis to 3D MRI data analysis, enabling comprehensive characterization of lesions in three-dimensional space. This dimensional enhancement allows for accurate measurement of lesion volume, shape, and spatial distribution patterns, significantly improving diagnostic accuracy for multiple sclerosis while maintaining feasibility through standard 3D MRI acquisition protocols
2Measurement precision
If quantitative phase imaging and advanced sequences are used to improve lesion specificity, then central vasculature and peripheral rings can be identified, but the technique is limited by vessel intersections in supratentorial region and lacks appreciation in all orthogonal planes
Solution Approach 1:
The patent develops a universal 3D lesion characterization framework that works across all brain regions and lesion types. By analyzing lesions in three-dimensional space with multiple orthogonal viewing planes, the system can identify central vasculature and peripheral ring patterns regardless of lesion location (supratentorial or infratentorial), making the diagnostic approach universally applicable to all multiple sclerosis patients
Solution Approach 2:
The system resolves the limitation of vessel intersections in supratentorial regions by adding the third dimension to lesion analysis. This enables differentiation of true central vasculature from intersecting vessels through 3D spatial relationships and multi-planar reconstruction, improving lesion specificity across all brain regions
3Reliability
If current state-of-the-art monitoring techniques are used, then some imaging metrics can be obtained, but it is difficult to identify uniformly applicable, accurate, and reliable imaging markers that predict risk for progressive disease
Solution Approach 1:
The patent identifies and quantifies specific 3D structural parameters (lesion volume, shape factors, spatial distribution metrics) that serve as reliable predictive markers for progressive disease. By establishing standardized 3D measurement protocols and identifying threshold values for key parameters, the system provides uniformly applicable predictive markers that can be consistently applied across diverse patient populations to assess progression risk
Data Source
AI summary
Disclosed herein are systems and methods of analyzing 3D structure of a portion of the CNS. An analytics module may be used to calculate one or more metrics the describe changes in the 3D structure of a CNS structure over time. The one or more metrics may be used to identify patterns of structural change prior to progressive symptom development. Healthcare providers may use the one or more metrics and or patterns of structural change to diagnose neurological conditions, track the progress of neurological conditions in the patient, and determine the patient's risk of progressive disease development. The 3D structure analytics techniques described herein may also be used to develop treatments and create a care delivery that is individualized for each patient.