Patient Movement Detection Using Reference Model Segmentation
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Solution Overview
Problem
Existing medical imaging technologies struggle to reliably and quickly determine patient movement during imaging procedures, leading to movement artifacts in MRI and CT images.
Innovation Solution
A computer-implemented procedure using an imaging device to determine patient movement by recording reference image data of a body area, creating a three-dimensional reference model, and adjusting adaptation data to the reference model to determine patient movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If patient movement detection is performed during medical imaging measurement, then movement artifacts can be reduced, but the complexity of the imaging system increases
Solution Approach 1:
The system segments the monitoring task by using separate optical cameras to capture reference image data of the patient's body region, which is then processed independently from the medical imaging data. This segmentation allows movement detection without integrating complex sensing components into the imaging device itself.
Solution Approach 2:
The patent introduces an intermediary optical imaging system that captures patient movement separately from the medical imaging process. The reference image data serves as an intermediary representation of patient position, which is then used to correct the medical imaging data without requiring direct integration between the monitoring and imaging systems.
2Measurement precision
If optical reference image data is acquired before measurement to create a reference model, then patient movement can be detected, but the measurement time is extended
Solution Approach 1:
The system performs preliminary acquisition of reference image data before the medical imaging measurement to create a reference model of the patient's body region. This preliminary action establishes a baseline for detecting movements during the measurement, enabling accurate movement detection while keeping the reference model creation separate from the actual imaging process.
Solution Approach 2:
The reference image data focuses specifically on the body region of interest where movement needs to be detected, rather than capturing the entire patient or environment. This localized approach reduces the amount of data to be processed and stored, minimizing the time penalty while maintaining measurement precision.
3Reliability
If the reference model covers the entire body region, then complete movement monitoring is achieved, but the data processing complexity increases
Solution Approach 1:
The reference model is created to cover the specific body region where movement needs to be monitored, rather than the entire patient body. This localized modeling reduces data processing complexity while maintaining complete monitoring of the clinically relevant area.
Solution Approach 2:
The system extracts only the necessary body region data for movement monitoring from the complete patient anatomy. By taking out and focusing on the specific region of interest, the system achieves complete movement monitoring of that region without the computational burden of processing data from the entire body.
Data Source
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AI summary
The invention relates to a method for determining patient movement during a medical imaging measurement using an imaging device, computer-implemented methods for providing trained functions, an imaging device, and a computer program product. The method for determining patient movement involves acquiring reference image data of a body region, e.g., a head region, and using this reference image data, determining the patient's movement.