Parametric PET Image Reconstruction with Continuous Bed Motion
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Solution Overview
Problem
Continuous bed motion (CBM) in positron emission tomography (PET) systems complicates image processing due to varying bed velocities, leading to non-uniformity and incorrect quantification of parametric images, especially when time information is not accurately accounted for across different axial slices.
Innovation Solution
A method and system for acquiring and processing PET sinogram data using continuous bed motion, which involves recording position-time coordinate pairs and determining slice acquisition times to reconstruct parametric images accurately, accounting for varying bed velocities and scan modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If continuous bed motion is used to acquire whole body images, then the field of view coverage is improved, but the image quantification accuracy deteriorates due to varying bed velocities affecting time information
Solution Approach 1:
The system records bed position and time information during data acquisition, then uses this pre-recorded information to calculate slice acquisition times during image processing. This preliminary recording of positional and temporal data enables accurate quantification despite continuous bed motion.
Solution Approach 2:
The system changes the parameter representation by introducing slice acquisition time as a calculated parameter based on recorded position-time coordinate pairs. This allows the reconstruction algorithm to account for varying bed velocities and maintain quantification accuracy across different slices.
2Adaptability or versatility
If continuous bed motion with varying velocity is used, then the scanning flexibility is improved, but the image processing complexity increases due to non-uniform time information across slices
Solution Approach 1:
The system processes each axial slice independently by calculating its specific acquisition time based on recorded position-time data. This segmentation approach allows flexible handling of varying bed velocities without requiring complex global processing, as each slice is reconstructed with its own temporal information.
Solution Approach 2:
The system introduces an intermediary calculation step where slice acquisition times are determined from recorded position-time coordinate pairs before reconstruction. This intermediary parameter serves as a bridge between the varying bed motion and the reconstruction algorithm, simplifying the overall processing complexity.
3Measurement precision
If accurate slice acquisition time determination is implemented, then the parametric image quantification accuracy is improved, but the data processing time increases
Solution Approach 1:
The system performs preliminary recording of bed position and time information during data acquisition, making this information available for later slice acquisition time calculations. This pre-recording approach minimizes additional processing time during reconstruction, as the necessary data is already captured.
Data Source
AI summary
A method of processing and reconstructing dynamic positron emission tomography (PET) sinogram data comprises: acquiring PET sinogram data using continuous bed motion having a varying velocity; recording a plurality of position-time coordinate pairs while acquiring the PET sinogram data; determining respective acquisition times of each of a plurality of slices of the image, based on the plurality of position-time coordinates; and reconstructing respective parametric images for each respective slice in the plurality of slices.