Tomographic Imaging Motion Detection via Coordinate-Transformed ROI Analysis
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Solution Overview
Problem
Existing tomographic imaging systems face challenges in reliably detecting motion, which can lead to motion corruption in image data, affecting the quality of reconstructed images.
Innovation Solution
A tomographic imaging system with a motion detection system that includes a dynamic camera system and a motion analyser. The system transforms the selected imaging zone from the reference coordinate frame to the image coordinate frame, allowing the motion analyser to derive motion information from dynamic image information, thereby enabling effective motion correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a camera-based motion detection system is used to detect motion in tomographic imaging, then motion correction can be applied to improve image quality, but the reliability of motion detection is insufficient leading to inaccurate motion correction
Solution Approach 1:
The imaging volume is divided into a region of interest (ROI) and surrounding areas. The motion detection system segments the dynamic image information to focus analysis only on the ROI, where motion correction is most critical. This segmentation allows the system to reliably detect motion in the clinically relevant area while reducing interference from motion in peripheral regions.
Solution Approach 2:
The system applies different processing quality to different spatial regions. High-precision motion detection and correction are applied locally within the ROI, while peripheral regions receive standard processing. This local quality approach ensures accurate motion correction where diagnostic quality is most important without requiring uniform high processing across the entire field of view.
2Reliability
If the entire field of view is monitored for motion, then comprehensive motion detection is achieved, but motion in areas outside the imaging zone may be incorrectly applied to the image data
Solution Approach 1:
The system performs preliminary definition of the ROI in the reference coordinate frame before motion detection begins. The arithmetic unit pre-calculates the correspondence between the ROI and the image coordinate frame. This preliminary action establishes the spatial mapping in advance, allowing the motion analyser to directly apply detected motion to the correct image regions without complex real-time transformations.
Solution Approach 2:
The arithmetic unit acts as an intermediary that translates motion detected in the camera's image coordinate frame to the reference coordinate frame used for tomographic imaging. It computes the geometric transformation and correspondence between coordinate systems, serving as a mediator that enables accurate motion application without requiring the motion detection system to directly operate in multiple coordinate systems simultaneously.
3Productivity
If motion detection is performed without defining a region of interest, then all motion in the field of view is detected, but computational resources are wasted analyzing motion in irrelevant areas
Solution Approach 1:
The system segments the field of view into a region of interest (ROI) and non-ROI areas. Motion detection and detailed analysis are concentrated on the ROI, which contains the clinically relevant anatomy. This segmentation improves computational efficiency by focusing processing power where it is most needed while maintaining diagnostic completeness by ensuring all motion in the ROI is captured.
Solution Approach 2:
The system performs partial motion detection by focusing only on the ROI rather than the entire field of view. This partial action is sufficient for diagnostic purposes because motion outside the ROI does not affect image quality. The approach avoids excessive processing of irrelevant areas while maintaining adequate motion correction for the clinically important region.
Data Source
AI summary
A tomographic imaging system comprises a support carrying an image data acquisition system and defining a reference coordinate frame. A scan plan control sets the image-data acquisition system to acquire image-data from a selected imaging zone in the reference coordinate system. A motion detection system to detect movement and includes (i) a dynamic camera system to receive dynamic image information registered in the image coordinate frame of the dynamic camera system, (ii) an arithmetic unit configured to transform the selected imaging zone from the reference coordinate frame to the image coordinate-frame and a (iii) motion analyser to derive motion information from the registered dynamic image information in the transformed selected imaging zone. In the event of motion detected by the motion analyser in or near the imaging zone, the detected motion may be employed for motion correction.