Modular TBI Assessment System Integrating Multi-Modal Imaging Scores
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Solution Overview
Problem
Conventional TBI diagnosis systems fail to accurately assess the severity of traumatic brain injury, particularly in mild cases, as they primarily quantify symptoms without correlating them to the degree of severity, and lack the ability to track symptom progression over time.
Innovation Solution
A modular and automated scoring system that utilizes structural, functional, and diffusion imaging data from multiple modalities to generate a comprehensive TBI assessment score, incorporating both automated segmentation and expert inputs, allowing for the qualification of severity and tracking of disease evolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional systems quantify symptoms of TBI, then symptom count and location can be determined, but the degree of severity cannot be assessed
Solution Approach 1:
The system transforms discrete symptom counts into continuous severity scores by establishing correlation between symptom quantity and severity level. The scoring algorithm assigns different weightings to symptoms based on their severity correlation, converting simple counts into nuanced severity assessments that capture the degree of injury.
Solution Approach 2:
The system creates a composite TBI severity score by integrating multiple symptom types and imaging findings into a unified assessment. This composite approach combines quantitative symptom data with qualitative imaging results to produce a comprehensive severity metric that cannot be obtained from single-modality assessments.
2Reliability
If conventional systems use single-modality imaging, then the assessment process is simple, but the ability to track disease evolution is limited
Solution Approach 1:
The system divides the TBI assessment into separate modular components, each handling a specific imaging modality or symptom type. This segmentation allows the system to process multiple imaging types independently and then integrate their findings, making the complex multi-modality assessment manageable and scalable while improving tracking reliability.
Solution Approach 2:
The system creates a universal assessment framework that can handle multiple imaging modalities (structural, functional, diffusion) and symptom types through a single integrated scoring algorithm. This multi-functional approach allows the same system to process diverse data types and track disease evolution across different time points and modalities.
3Productivity
If automated segmentation is used, then processing speed increases, but manual expert input is still required for accuracy
Solution Approach 1:
The automated segmentation system performs initial processing independently, rapidly segmenting imaging data and generating preliminary scores without human intervention. This self-service capability handles the bulk of the processing workload, achieving high productivity while maintaining the framework for subsequent expert review when needed.
Solution Approach 2:
The system incorporates feedback loops where automated segmentation results are reviewed and corrected by expert observers, and these corrections feed back into the algorithm to improve future automated processing. This feedback mechanism maintains high measurement precision by continuously refining the automated segmentation based on expert validation.
Data Source
AI summary
A computer-implemented method for generating an assessment of traumatic brain injury (TBI) includes a TBI assessment computer receiving structural imaging data acquired by performing a structural imaging scan on an individual and generating a structural imaging score based on the structural imaging data. The TBI assessment computer receives functional imaging data acquired by performing a functional imaging scan on the individual and generates a functional imaging score based on the functional imaging data. The TBI assessment computer also receives diffusion imaging data acquired by performing a diffusion imaging scan on the individual and generates a diffusion imaging score based on the diffusion imaging data. Based on the structural imaging score, the functional imaging score, and the diffusion imaging score, the TBI assessment computer generates a TBI assessment score.