PET Imaging System Motion-Adaptive Scan Region Segmentation
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Solution Overview
Problem
Current PET imaging techniques require lengthy scanning and image reconstruction times, especially when dealing with body parts that experience physiological motion, leading to inaccurate data and poor patient experience.
Innovation Solution
A method and system that divide the scan volume into multiple scan regions, determine the presence of physiological motion in each region, and generate PET sub-images using either static or gating mode data based on the presence of motion, ultimately stitching these sub-images to create a comprehensive PET image of the scan volume.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If gating mode is used for body parts with physiological motion, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The scan volume is divided into multiple scan regions, with each region independently assessed for physiological motion. This segmentation allows the system to apply gating mode only to specific regions where motion is detected, rather than applying it globally to the entire scan volume, thereby reducing overall scanning time while maintaining accuracy where needed.
Solution Approach 2:
Different scanning modes (static or gating) are applied to different scan regions based on their specific motion characteristics. Regions with physiological motion receive gating mode treatment for high precision, while motion-free regions use static mode for speed, creating a locally optimized scanning strategy that balances accuracy and efficiency.
2Productivity
If static mode is used for whole body scanning, then productivity is improved, but measurement precision deteriorates
Solution Approach 1:
The scan volume is divided into multiple scan regions, with each region independently assessed for physiological motion. This segmentation allows the system to apply gating mode only to specific regions where motion is detected, rather than applying it globally to the entire scan volume, thereby reducing overall scanning time while maintaining accuracy where needed.
Solution Approach 2:
Different scanning modes (static or gating) are applied to different scan regions based on their specific motion characteristics. Regions with physiological motion receive gating mode treatment for high precision, while motion-free regions use static mode for speed, creating a locally optimized scanning strategy that balances accuracy and efficiency.
3Measurement precision
If gating mode is applied to entire scan volume, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The scan volume is divided into multiple scan regions, with each region independently assessed for physiological motion. This segmentation allows the system to apply gating mode only to specific regions where motion is detected, rather than applying it globally to the entire scan volume, thereby reducing overall scanning time while maintaining accuracy where needed.
Solution Approach 2:
Instead of applying gating mode to the entire scan volume (excessive action), the system applies it only to the specific scan regions where physiological motion is detected (partial action). This reduces the complexity of motion synchronization and data processing while maintaining measurement precision where it is actually needed.
Data Source
AI summary
A method and system for determining a PET image of the scan volume based on one or more PET sub-images is provided. The method may include determining a scan volume of a subject supported by a scan table; dividing the scan volume into one or more scan regions; for each scan region of the one or more scan regions, determining whether there is a physiological motion in the scan region; generating, based on a result of the determination, a PET sub-image of the scan region based on first PET data of the scan region acquired in a first mode or based, at least in part, on second PET data of the scan region acquired in a second mode; and generating a PET image of the scan volume based on one or more PET sub-images.