Physiological Image Segmentation via Intrinsic-Extrinsic Data Alignment
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Solution Overview
Problem
Traditional MRI systems face challenges in accurately enhancing anatomical images by segmenting regions of interest, as the data obtained is not necessarily representative of the specific tissue being scanned, leading to a need for improved methods to modify and align extrinsic and intrinsic data for precise image segmentation.
Innovation Solution
A computer-implemented method and data processing system that modifies the shape and size of extrinsic regions based on corresponding intrinsic regions, allowing for segmentation of physiological images into more accurately represented segmented regions, using intrinsic and extrinsic data to align and adjust extrinsic data for improved correspondence with individual anatomical variations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If generic atlas data is used for segmentation, then the segmentation process is simplified and faster, but the accuracy and representativeness of the segmented regions deteriorates
Solution Approach 1:
The system performs preliminary registration of extrinsic atlas data with intrinsic patient-specific data before segmentation. This preliminary alignment allows the system to pre-adjust the extrinsic data to match the patient's anatomical variations, ensuring both efficiency and accuracy in the subsequent segmentation process
Solution Approach 2:
The system introduces an intermediary transformation process that maps generic atlas regions to patient-specific regions. This intermediary step involves calculating transformation fields and applying spatial corrections, serving as a bridge between the simplified atlas data and the complex patient-specific anatomy
2Device complexity
If extrinsic atlas data is directly applied without modification, then the method is simpler and requires less processing, but the correspondence with individual anatomical variations deteriorates
Solution Approach 1:
The system applies local modifications to the extrinsic atlas data based on patient-specific intrinsic data. Instead of uniformly transforming the entire atlas, the system locally adjusts regions where anatomical variations are detected, preserving the simplicity of the atlas while adapting to individual patient anatomy
Solution Approach 2:
The system modifies parameters of the extrinsic data including spatial coordinates, region boundaries, and anatomical landmarks to match the intrinsic patient data. These parameter adjustments enable the atlas to adapt to individual anatomical variations while maintaining the overall structure and simplicity of the original atlas
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables more accurate segmentation of MRI images by aligning and modifying extrinsic data with intrinsic data, enhancing the representation of anatomical and functional regions, thereby improving the precision and relevance of the segmented images.
Implementation Method 1
The physiological image can be segmented into segmented regions based on the modified extrinsic data
Data Source
AI summary
A processing system for and a method of segmenting a physiological image is provided. Once the physiological image is received, extrinsic data defining extrinsic regions is further received. Additionally, intrinsic data defining at least one intrinsic region, each intrinsic region corresponding to one extrinsic region is received. A primary modification is performed, where a shape and size of at least one extrinsic region having a corresponding intrinsic region is modified based on a shape and size of the corresponding intrinsic region, to form a modified extrinsic data. The physiological image is segmented into segmented regions based on the modified extrinsic data, each segmented region which has a corresponding intrinsic region representing a primary modification based on the corresponding intrinsic region.