Medical Image Processing Apparatus Motion Compensation
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Solution Overview
Problem
Conventional color parametric imaging technologies face difficulties in tracking pixel value changes at moving sites such as abdominal blood vessels or the heart, making it challenging to apply color parametric imaging effectively in these areas.
Innovation Solution
The medical image processing apparatus performs a transformation process on blood vessel images to align them with a reference image, allowing for the generation of a color image where pixel values correspond to temporal changes, enabling the display of color animations that represent flow times of contrast agents at these moving sites.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If color parametric imaging is applied to moving sites such as abdominal blood vessels or the heart, then diagnostic capability is enhanced, but tracking pixel value changes becomes difficult due to motion artifacts
Solution Approach 1:
The system performs preliminary image registration and motion compensation before conducting color parametric imaging analysis. By pre-aligning images from different time points and compensating for motion artifacts in advance, the system establishes a stable reference framework that enables accurate pixel value tracking despite patient motion during the imaging process
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring pixel value changes across time-series images and comparing them against reference values. This feedback loop allows the system to distinguish between actual contrast agent flow and artifacts caused by motion, thereby maintaining measurement precision even when imaging moving sites
2Device complexity
If conventional color parametric imaging is used without image transformation, then processing is simpler, but accurate visualization of flow time at moving sites cannot be achieved
Solution Approach 1:
The system introduces dynamic image transformation that adapts to the specific motion characteristics of each imaging site. Rather than using a fixed, simple processing pipeline, the system dynamically adjusts transformation parameters based on detected motion patterns, enabling accurate flow time visualization while maintaining reasonable processing complexity through automated parameter selection
Data Source
AI summary
A medical image processing apparatus comprises processing circuitry configured to select a reference image from blood vessel images based on contrast images acquired in time series and conduct a transformation process on other blood vessel images such that blood vessel shapes in the other blood vessel images match a blood vessel shape in the reference image, generate a color image where a color that corresponds to a temporal change in a pixel value is assigned to each pixel based on the blood vessel images after the transformation process, and display the color image on a display.


