Coronary Artery Fluid Analysis via Image Registration
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Solution Overview
Problem
Current medical imaging technologies for evaluating coronary hematogenous ischemia require multiple image collections, leading to increased exposure doses and reduced accuracy due to motion artifacts, especially when assessing changes in coronary artery shape over time.
Innovation Solution
A medical information processing apparatus that collects past and new image data, performs registration processing, extracts differential regions, and generates synthesized image data to reduce exposure dose and enhance analysis accuracy by using fluid analysis on CT image data across multiple time phases, focusing on cardiac phases with minimal motion and maximal area variation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple image collections are performed to evaluate coronary artery changes over time, then the accuracy of temporal comparison is improved, but the exposure dose increases
Solution Approach 1:
The system performs registration processing in advance to establish spatial correspondence between past and current images. By pre-aligning the coordinate systems and identifying corresponding anatomical structures before actual comparison, the system enables accurate temporal evaluation using images from different time phases, thereby reducing the need for multiple image collections and lowering exposure dose.
Solution Approach 2:
The system creates a virtual copy of the coronary artery structure from past images through registration processing. This virtual model is then overlaid and compared with current images, allowing accurate temporal comparison without requiring additional physical image collections. The copied structural information enables precise measurement of changes over time while minimizing patient exposure.
2Reliability
If multiple image collections are performed to assess coronary artery shape changes, then the reliability of evaluation is improved, but motion artifacts increase reducing accuracy
Solution Approach 1:
The system performs registration processing to pre-establish spatial correspondence between images from different time phases. By aligning the anatomical structures before comparison, the system eliminates motion artifacts that would otherwise reduce measurement accuracy. This preliminary alignment ensures that subsequent measurements of coronary artery shape changes are reliable and accurate.
Solution Approach 2:
The registration processing acts as an intermediary step that mediates between images taken at different times. It creates a common reference framework that reconciles positional differences caused by patient motion or anatomical variations, enabling accurate comparison of coronary artery morphology across time phases without the negative effects of motion artifacts.
3Measurement precision
If images are collected at multiple time phases to capture maximal area variation, then the quality of fluid analysis is improved, but the complexity of data processing increases
Solution Approach 1:
The system performs registration processing in advance to establish spatial correspondence between images from different time phases. This preliminary step creates a unified reference framework that simplifies subsequent fluid analysis by ensuring that all images are properly aligned. The pre-established correspondence reduces the computational complexity of comparing coronary artery morphology across multiple time phases while maintaining high analysis quality.
Data Source
AI summary
A medical information processing apparatus according to an embodiment includes processing circuitry. The processing circuitry collects pieces of past image data in a plurality of time phases that contain at least a part of a coronary artery of a heart and new image data in one time phase that contains at least a part of the coronary artery and has been acquired after acquisition of the pieces of past image data. The processing circuitry performs registration processing between the pieces of collected past image data and registration processing between any one of the pieces of past image data and the new image data. The processing circuitry generates pieces of synthesized image data corresponding to the time phases of the pieces of past image data other than the past image data on which the registration processing with the new image data has been executed by reflecting a shape of the new image data based on results of the registration processing. The processing circuitry derives a fluid parameter related to the coronary artery by executing fluid analysis using the pieces of synthesized image data.