Medical Image Processing Apparatus for Cyclic Organ Synchronization
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Solution Overview
Problem
Conventional medical imaging technologies face challenges in synchronously displaying images of organs with cyclically varying shapes across different periods, increasing the burden on operators and hindering efficient medical diagnosis.
Innovation Solution
A medical image processing apparatus and method that select and generate combination information for images acquired in substantially equal time phases from different periods based on characteristics values indicative of the organ's shape, allowing for synchronized display of images from multiple studies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If images from different periods are manually aligned and displayed, then comparison between current and past clinical states can be performed, but the operator burden increases significantly
Solution Approach 1:
The system performs preliminary actions by automatically measuring shape characteristics values from images in both periods, pre-calculating correspondence relationships, and storing them before the actual comparison operation. This eliminates the need for operators to manually align images during the comparison process.
Solution Approach 2:
The system makes the image alignment process self-service by automatically selecting corresponding images based on shape characteristics values without requiring operator intervention. The computer automatically determines which images correspond to each other and displays them in synchronization.
2Measurement precision
If individual adjustment of display timings is performed for two images, then images at the same time phase can be compared, but the operation becomes a great burden on the operator
Solution Approach 1:
The system uses shape characteristics values as feedback to automatically determine correspondence between images. By measuring and comparing these objective parameters, the system can precisely match images from different periods without manual timing adjustments.
Solution Approach 2:
The system changes from manual time phase adjustment to automatic parameter-based matching. By using shape characteristics values as the matching parameter, the system achieves precise time phase alignment automatically, eliminating the time-consuming manual adjustment process.
3Reliability
If three-dimensional images from different studies are aligned for comparison, then diagnostic accuracy improves, but the complexity of the process increases
Solution Approach 1:
The system introduces shape characteristics values as an intermediary parameter to bridge images from different studies. This intermediary enables automatic correspondence determination without requiring complex manual alignment procedures, simplifying the overall process while maintaining diagnostic accuracy.
Data Source
AI summary
A medical image processing apparatus includes a selection unit which selects a combination of images acquired in substantially equal time phases in a cycle from a first image group including a plurality of first images acquired at different time points in a first period by imaging an organ whose shape cyclically varies and a second image group including a plurality of second images acquired at different time points in a second period different from the first period by imaging the organ based on a characteristics value indicative of characteristics of the shape of the organ measured from the first and second image groups, and a generation unit which generates combination information indicative of the combination selected by the selection unit.