Respiratory Motion Imaging for Accurate MRI Body Position Detection
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Solution Overview
Problem
Existing medical image capturing systems struggle to accurately identify the body position of a subject due to insufficient accuracy in image processing, particularly in cases where the subject's body position differs from the set position, leading to potential misalignment during MRI examinations.
Innovation Solution
A medical image capturing support apparatus and method that utilizes a processor to analyze time-series captured images, detect body movement regions corresponding to respiratory movements, and identify the subject's body position based on these regions using optical flow calculation and respiratory signal comparisons.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image processing is performed on a captured image of a subject to identify body position, then identification can be achieved, but sufficient accuracy in identification cannot be obtained
Solution Approach 1:
The system performs preliminary actions by detecting the body movement region before final body position identification. By first identifying the region exhibiting respiratory movement characteristics and then using this information to determine body position, the system improves identification accuracy through a staged approach that prepares and refines the data before final analysis.
Solution Approach 2:
The system applies feedback by using the detected body movement region information to refine and improve the body position identification process. The detected respiratory movement characteristics serve as feedback that enhances the accuracy of subsequent identification steps, creating a self-improving identification system.
2Measurement precision
If conventional image processing methods are used to detect body position, then processing can be completed, but high accuracy identification cannot be realized
Solution Approach 1:
The system extracts the body movement region from the captured image by isolating the specific area exhibiting respiratory movement characteristics. This extraction process separates the relevant information (body movement region) from the rest of the image, enabling more focused and accurate body position identification without requiring complex processing of the entire image.
Solution Approach 2:
The system segments the image processing task into distinct stages: first detecting the body movement region exhibiting respiratory characteristics, then using this segmented region information for body position identification. This segmentation reduces overall processing complexity by breaking down the complex task into manageable, sequential steps.
Data Source
AI summary
Provided are a medical image capturing support apparatus, an operation method of a medical image capturing support apparatus, a program, and a medical image capturing apparatus that realize identification of a body position of a subject with high accuracy. A medical image capturing support apparatus acquires a plurality of time-series captured images generated by capturing a subject, detects, from the plurality of time-series captured images, a body movement region of the subject in the captured image in which a movement of the subject having periodicity and magnitude corresponding to a respiratory movement of the subject occurs, and identifies a body position of the subject based on the body movement region.