Gated Image Data Processing for Motion Artifact Reduction
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Solution Overview
Problem
In PET and SPECT imaging, patient motion during lengthy examinations leads to artifacts and discrepancies in visualizations, reducing the ability to accurately locate radiopharmaceutical distribution, due to involuntary physiological processes like respiration and heartbeat.
Innovation Solution
A method involving data gating, image reconstruction, and registration to generate median or weighted average images, which are robust to outlying data and motion artifacts, using a processor-based system that acquires, sorts, reconstructs, and registers image data to produce images with improved noise properties.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the examination time is extended to collect sufficient decay events for image reconstruction, then the measurement precision improves, but patient motion artifacts increase due to involuntary physiological processes
Solution Approach 1:
The patent segments the continuous examination time into multiple discrete time gates or intervals. Image data is collected and reconstructed separately for each time gate, then the resulting images are registered and combined (e.g., averaged). This segmentation allows motion artifacts to be distributed across multiple images rather than concentrated in a single long-exposure image, improving overall image quality while maintaining sufficient measurement precision.
2Object-affected harmful factors
If the patient remains perfectly still during examination, then motion artifacts are minimized, but this is difficult to achieve due to voluntary and involuntary motions
Solution Approach 1:
The system automatically compensates for patient motion through computational methods rather than requiring active patient compliance. Motion artifacts are corrected by gating the data into multiple time intervals, reconstructing images for each gate, registering the images to account for motion, and combining them. This self-service approach eliminates the need for patients to maintain perfect stillness, as the system independently corrects for motion effects.
3Reliability
If multiple images are combined to reduce noise, then the image quality improves, but motion artifacts and outlying data can dominate the average
Solution Approach 1:
The patent performs preliminary registration of individual gated images to a common reference frame before combining them. This preliminary alignment ensures that corresponding anatomical structures are properly matched across all images, so that when the images are averaged or combined, the radiopharmaceutical distribution patterns are accurately superimposed. This preliminary action prevents motion-induced misalignment from degrading the final image quality or localization accuracy.
Data Source
AI summary
A method for generating an image is provided. The method comprises: acquiring a first set of image data using a first imaging modality; sorting the first set of image data into a plurality of gates to generate a plurality of gated data sets; reconstructing each gated data set to generate a respective gated image for each gated data set; registering the respective gated images to generate a plurality of registered images; and generating a median image from the plurality of registered images, wherein each voxel of the median image is a respective median value of the corresponding voxels of the plurality of registered images.