Nerve Fiber Tracking Algorithm for Brain Connectivity Analysis
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Solution Overview
Problem
Current methods lack precision in detecting and analyzing nerve fibers in the brain, which are crucial for diagnosing and prognosing neurodegenerative diseases and psychological disturbances, as they do not effectively track the structural connections between brain regions.
Innovation Solution
A method involving the use of position information and structural brain data, obtained through MRI sequences, to track nerve fibers starting from a specific brain region, such as the locus coeruleus, using a computer-implemented algorithm, allowing for the determination of nerve fiber connections and their normalization for comparison with other patients.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current methods are used to detect nerve fibers, then the detection process is simple, but the measurement precision and ability to track structural connections is insufficient
Solution Approach 1:
The patent replaces traditional mechanical or manual nerve fiber detection methods with a computer-implemented algorithm that automatically tracks nerve fibers using position information and structural brain data. This substitution enables precise tracking of structural connections between brain regions while reducing manual intervention and improving measurement precision.
Solution Approach 2:
The patent introduces position information as an intermediary element that facilitates the tracking of nerve fibers. By using position information indicative of specific brain region locations, the system can accurately determine and visualize the structural connections between brain regions, thereby improving detection precision without requiring direct complex imaging of all nerve fibers.
2Reliability
If comprehensive structural brain data is collected to improve diagnosis, then the diagnostic accuracy is improved, but the time and computational resources required increase
Solution Approach 1:
The patent extracts only the essential position information from comprehensive structural brain data that is necessary for tracking nerve fibers and determining structural connections. By selecting and processing only the relevant position data rather than analyzing all available brain imaging data, the method maintains diagnostic reliability while significantly reducing processing time and computational resource requirements.
3Loss of information
If detailed tracking of nerve fiber connections is performed, then the understanding of brain structure is improved, but the complexity of data analysis increases
Solution Approach 1:
The patent replaces complex manual data analysis with a computer-implemented algorithm that automatically processes position information and structural brain data to track nerve fiber connections. This automated system preserves all relevant structural connection information while simplifying the analysis process and reducing the complexity burden on researchers and clinicians.
Data Source
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AI summary
In at least one embodiment, the method for detecting nerve fibers (NF) in a brain (B) of a patient comprises: - receiving position information indicative for the position of a certain brain region (BR) of the brain, - tracking nerve fibers starting from the position of the certain brain region in order to determine the nerve fibers connecting the certain brain region with other brain regions by using the position information and structural brain data, wherein - the structural brain data are indicative for the distribution of nerve fibers in the brain.