Brain Image Slice Selection for Accurate Diagnostic Indices
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing medical imaging technologies face challenges in maintaining accuracy for diagnosing conditions like dementia due to variations in image quality and modality, making it difficult to select appropriate measurement cross sections for calculating diagnostic indices such as Evans Index and corpus callosum angle.
Innovation Solution
An image analysis device and method that standardizes images based on imaging conditions, divides areas by pixel values, determines optimal slice locations using notable tissue features, and calculates diagnostic indices with high accuracy, minimizing modality and imaging condition dependencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If anatomical standardization is performed on target tissue to automatically determine ROI, then user input time and effort are omitted, but measurement accuracy deteriorates when imaging conditions and modalities vary
Solution Approach 1:
The patent transforms the input image into a standardized space by applying geometric transformation parameters (scaling, rotation, translation) to match the standard brain anatomy. This parameter-based transformation allows the system to adapt to different imaging conditions while maintaining measurement accuracy, resolving the contradiction between automation and precision.
Solution Approach 2:
The patent creates a standard brain template that serves as a reference model. The input image is copied and transformed to match this standard template, enabling automatic ROI determination that is both automated and accurate across different imaging modalities by referencing the standardized anatomical structure.
2Measurement precision
If multiple diagnostic images of different modalities are used to calculate various diagnostic indices, then diagnostic accuracy is improved, but device complexity and operational burden increase
Solution Approach 1:
The patent creates a universal standardized space that can accommodate multiple imaging modalities (CT, MRI, PET, etc.). By transforming all input images into this common standardized coordinate system, the system achieves multi-functionality where a single analysis framework can process diverse imaging data to calculate various diagnostic indices without increasing device complexity.
3Measurement precision
If multiple diagnostic images are required for calculating diagnostic indices, then measurement accuracy is improved, but ease of operation deteriorates due to significant user burden
Solution Approach 1:
The patent performs preliminary transformation of multiple diagnostic images into a standardized space before the actual measurement process. By pre-aligning and standardizing all input images, the system eliminates the need for users to manually select and process multiple images, significantly reducing operational burden while maintaining measurement accuracy through the standardized framework.
Data Source
AI summary
An image including contrast is standardized and an area is divided, a measurement cross section that most matches a measurement cross section determined to be appropriate for measuring a predetermined index is determined based on a feature of a notable tissue in the divided area, and a measurement value serving as an index is calculated in the measurement cross section.