Motion Guided Retrospective Gating for CT Image Quality
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Solution Overview
Problem
Existing medical imaging systems, particularly computed tomography (CT) scans, face challenges in accurately detecting patient motion during scans, which can lead to suboptimal image quality and require additional workflow steps for correction.
Innovation Solution
The integration of motion detection systems, such as LiDAR-based techniques, cameras, and sensors, within the CT imaging system to monitor patient movement in real-time. This system generates a motion score curve and selects scan data within an acceptable motion range for reconstruction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If motion detection systems are integrated into CT imaging systems, then patient motion can be detected and image quality can be improved, but device complexity increases
Solution Approach 1:
The patent combines motion detection apparatus with CT imaging systems by mounting motion detection devices on the gantry and integrating them with the X-ray source and detector assembly. This merging allows simultaneous acquisition of motion data and scan data, improving image quality while managing system complexity through integrated design.
Solution Approach 2:
The motion detection system is designed to serve multiple functions: detecting patient motion during scans, providing feedback for real-time or retrospective gating, and enabling improved image reconstruction. This multi-functionality justifies the added complexity by delivering multiple benefits from a single integrated system.
2Reliability
If real-time motion detection is performed during CT scans, then motion can be compensated for, but scan time and processing requirements increase
Solution Approach 1:
The system performs motion detection and scoring during the scan acquisition phase, preparing motion information in advance of the reconstruction process. This preliminary action allows the motion data to be ready for immediate use in gating decisions without extending the overall scan time.
Solution Approach 2:
The motion detection system provides continuous feedback during scanning, generating motion score curves that can trigger real-time or retrospective gating. This feedback mechanism enables dynamic adjustment of scan data selection without requiring additional scanning time, as the motion information is available throughout the acquisition process.
3Manufacturing precision
If motion score curves are generated and scan data is filtered based on motion thresholds, then image quality improves, but data processing complexity increases
Solution Approach 1:
The patent segments the scan data into individual views or projections, assigning motion scores to each segment independently. This segmentation allows complex motion filtering to be applied to manageable portions of data, improving reconstruction quality while reducing the computational complexity of processing the entire dataset at once.
Solution Approach 2:
The system changes parameters such as motion score thresholds and gating strategies to optimize the balance between image quality and processing complexity. By adjusting these parameters, the system can adapt to different scan scenarios and patient conditions, delivering high-quality images without requiring excessive processing resources.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables accurate detection and compensation for patient motion during CT scans, improving image quality by selecting only scan data with acceptable motion levels for reconstruction, thereby enhancing the overall efficiency and robustness of the imaging process.
Implementation Method 1
motion detection systems, such as LiDAR-based techniques
Data Source
AI summary
An imaging system and method for using the imaging system are described. In one example, a method of A method of identifying movement of a patient during a medical imaging scan includes initiating motion detection data acquisition, initiating a medical imaging scan of the patient to acquire scan data, determining a motion score curve for duration of the medical imaging scan based on the motion detection data, removing portions of the scan data corresponding to a motion score curve outside of an acceptable range, and selecting the scan data corresponding to a motion score curve within the acceptable range for reconstruction.