Hippocampal HATA Volume Analysis for Objective Function Evaluation
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Solution Overview
Problem
The relationship between hippocampal subfield volume and pattern separation or pattern completion remains unclear, necessitating a more objective and reliable evaluation system for human hippocampal function.
Innovation Solution
A functional evaluation system that acquires image data of the hippocampus and identifies the volume of the left hippocampal-amygdaloid transition area (HATA) to objectively assess hippocampal function, using a control device to process and analyze the data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If hippocampal function evaluation is conducted using conventional methods, then evaluation can be performed, but objectivity and reliability of the evaluation remain insufficient
Solution Approach 1:
The patent segments the hippocampus into distinct subfields (CA1, CA2, CA3, CA4, dentate gyrus, subiculum) and individually measures the volume of each subfield. This segmentation allows for precise identification of which specific hippocampal region is affected, thereby improving both the reliability and measurement precision of the evaluation by moving from a general hippocampal assessment to a detailed subfield-level analysis.
2Measurement precision
If detailed hippocampal subfield analysis is performed, then evaluation objectivity improves, but measurement complexity increases
Solution Approach 1:
The patent introduces automated image processing software as an intermediary tool that performs the complex segmentation and volume measurement tasks. The software automatically identifies hippocampal subfields in MRI images and calculates their volumes, thereby achieving high measurement precision without requiring manual complex analysis, thus resolving the contradiction between precision and complexity.
3Loss of time
If manual hippocampal volume measurement is used, then analysis flexibility is maintained, but measurement time and subjectivity increase
Solution Approach 1:
The patent implements an automated measurement system where the image processing software performs self-service by automatically segmenting the hippocampal subfields and calculating volumes without requiring manual intervention. This self-service approach eliminates human subjectivity and significantly reduces measurement time while maintaining high reliability and objectivity of the evaluation.
Data Source
AI summary
A functional evaluation system of hippocampus that includes: an acquisition unit that acquires image data representing a hippocampus of a subject; and an identification unit that identifies volume data representing a volume of a left hippocampal-amygdaloid transition area of the subject, in accordance with the image data.