Intelligent Atlas for MRI Abnormality Detection
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Solution Overview
Problem
Conventional radiological diagnosis is largely qualitative and subjective, with automated image analysis techniques like voxel-based analyses being ineffective in accurately detecting and characterizing tissue abnormalities due to the lack of anatomical information, requiring significant manual labor and providing only approximate results.
Innovation Solution
A non-invasive imaging system that includes an imaging scanner, a signal processing system, and a data storage unit storing anatomical and pathological atlases, which allows for the automatic identification of tissue abnormalities by normalizing image data to an anatomical atlas and analyzing statistical relationships between image voxels and pathological atlas data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated voxel-based analysis is used, then productivity is improved, but measurement precision deteriorates due to lack of anatomical information
Solution Approach 1:
The patent introduces an anatomical atlas as an intermediary reference framework that mediates between the automated analysis system and the target tissue structures. The atlas provides pre-defined anatomical boundaries and spatial relationships, enabling automated analysis to achieve precision comparable to manual methods while maintaining high productivity through systematic, repeatable processing of image data against the atlas framework.
Solution Approach 2:
The patent applies preliminary segmentation to create the anatomical atlas before performing abnormality detection. By pre-establishing accurate anatomical boundaries and organizational structures in the atlas, the system prepares the framework in advance, allowing subsequent automated analyses to efficiently detect abnormalities with high precision without requiring manual intervention during the actual detection process.
2Measurement precision
If manual segmentation is used, then measurement precision is improved, but productivity deteriorates due to time-consuming process
Solution Approach 1:
The patent implements self-service through automated algorithms that perform segmentation and abnormality detection without requiring manual expert intervention. The system uses the anatomical atlas as a reference to automatically identify tissue boundaries and detect abnormalities, enabling the analysis process to serve itself with high precision while dramatically reducing the time investment required compared to manual methods.
Solution Approach 2:
The patent creates a standardized anatomical atlas that serves as a template or copy of normal anatomical structures. This atlas can be repeatedly applied to multiple patient images without requiring manual segmentation for each case, allowing the system to maintain consistent high-quality boundaries across numerous analyses while significantly improving productivity through reuse of the standardized reference framework.
3Productivity
If automated programs are used, then productivity is improved, but measurement precision deteriorates due to approximate results
Solution Approach 1:
The anatomical atlas acts as an intermediary reference that guides automated segmentation algorithms to achieve high precision. The atlas provides accurate anatomical boundaries and spatial relationships that the automated system uses as a template, enabling the automation to produce results with precision comparable to manual expert segmentation while maintaining the efficiency benefits of automated processing.
Solution Approach 2:
The system performs preliminary creation of the anatomical atlas with high-precision anatomical boundaries before conducting automated abnormality detection. This preliminary action establishes an accurate reference framework that subsequent automated analyses rely upon, ensuring that the automation achieves high measurement precision without requiring manual intervention during the actual detection phase.
Data Source
AI summary
A non-invasive imaging system, including an imaging scanner suitable to generate an imaging signal from a tissue region of a subject under observation, the tissue region having at least one substructure; a signal processing system in communication with the imaging scanner to receive the imaging signal from the imaging scanner; and a data storage unit in communication with the signal processing system, wherein the data storage unit stores an anatomical atlas comprising data encoding spatial information of the at least one substructure in the tissue region, and a pathological atlas corresponding to an abnormality of the tissue region, wherein the signal processing system is adapted to automatically identify, using the imaging signal, the anatomical atlas, and the pathological atlas, a presence of the abnormality or a pre-cursor abnormality in the subject under observation.