Inter-pass motion correction for whole-body dynamic PET and parametric imaging.
Xueqi Guo1, Jing Wu2, Ming-Kai Chen3
1Department of Biomedical Engineering, Yale University, New Haven, CT, 06511, USA.
IEEE Transactions on Radiation and Plasma Medical Sciences
|October 16, 2023
Summary
Whole-body dynamic PET imaging benefits from motion correction. Applying non-rigid registration reduces errors and improves the accuracy of metabolic measurements, potentially enhancing cancer detection.
Area of Science:
- Nuclear Medicine
- Medical Imaging
- Radiochemistry
Background:
- Whole-body dynamic Fluorodeoxyglucose-Positron Emission Tomography (FDG-PET) using continuous-bed-motion (CBM) is valuable for metabolism assessment.
- Inter-pass misalignment due to patient movement can compromise quantitative accuracy in CBM PET scans.
Purpose of the Study:
- To implement and evaluate a non-rigid registration method for correcting inter-pass motion in whole-body dynamic FDG-PET imaging.
- To assess the impact of motion correction on parametric quantification and oncological discrimination capabilities.
Main Methods:
- A 90-minute whole-body dynamic FDG CBM PET scan was performed on 27 subjects.
- Inter-pass motion was corrected using multi-resolution, B-spline free-form non-rigid image registration.
- Parametric images were generated using Patlak analysis, and fitting errors were quantified.
Main Results:
- Non-rigid registration successfully reduced spatial misalignment between parametric images (slope K and intercept V).
- Normalized fitting errors (NFE) significantly decreased across the whole body, head, and regions of interest (ROIs) after motion correction.
- Visual performance of hypermetabolic ROIs improved, with increased Area Under the Curve (AUC) for malignancy discrimination.
Conclusions:
- Non-rigid registration is effective for inter-pass motion correction in whole-body dynamic FDG-PET.
- Motion correction improves quantitative accuracy and enhances the diagnostic potential for oncological applications.
- This technique offers a promising approach to refine whole-body PET imaging analysis.
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