ArticleMedical physics2019
Body motion detection and correction in cardiac PET: Phantom and human studies.
Article in Medical physics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Motion study on upright patient positioning in walk-through PET: evaluation in a clinical setting.EJNMMI physics · 2025Article
- YRT-PET: An Open-Source GPU-accelerated Image Reconstruction Engine for Positron Emission Tomography.IEEE transactions on radiation and plasma medical sciences · 2025Article
- Effects of List-Mode-Based Intraframe Motion Correction in Dynamic Brain PET Imaging.IEEE transactions on radiation and plasma medical sciences · 2024Article
- The value of net influx constant based on FDG PET/CT dynamic imaging in the differential diagnosis of metastatic from non-metastatic lymph nodes in lung cancer.Annals of nuclear medicine · 2024Article
- The value of dynamic FDG PET/CT in the differential diagnosis of lung cancer and predicting EGFR mutations.BMC pulmonary medicine · 2024Article
- Improvement of motion artifacts using dynamic whole-bodyJapanese journal of radiology · 2024Article
- Supplemental Transmission Aided Attenuation Correction for Quantitative Cardiac PET.IEEE transactions on medical imaging · 2024Article
- Impact of motion correction on [Physics in medicine and biology · 2023Article
- Inter-pass motion correction for whole-body dynamic PET and parametric imaging.IEEE transactions on radiation and plasma medical sciences · 2023Article
- Comparison between a dual-time-window protocol and other simplified protocols for dynamic total-bodyEJNMMI physics · 2022Article
- Motion correction and its impact on quantification in dynamic total-body 18F-fluorodeoxyglucose PET.EJNMMI physics · 2022Article
- Dynamic FDG-PET imaging for differentiating metastatic from non-metastatic lymph nodes of lung cancer.Frontiers in oncology · 2022Article
- Synergistic motion compensation strategies for positron emission tomography when acquired simultaneously with magnetic resonance imaging.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2021Review
- Motion correction for PET data using subspace-based real-time MR imaging in simultaneous PET/MR.Physics in medicine and biology · 2020Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
purposePatient body motion during a cardiac positron emission tomography (PET) scan can severely degrade image quality. We propose and evaluate a novel method to detect, estimate, and correct body motion in cardiac PET.
methodsOur method consists of three key components: motion detection, motion estimation, and motion-compensated image reconstruction. For motion detection, we first divide PET list-mode data into 1-s bins and compute the center of mass (COM) of the coincidences' distribution in each bin. We then compute the covariance matrix within a 25-s sliding window over the COM signals inside the window. The sum of the eigenvalues of the covariance matrix is used to separate the list-mode data into "static" (i.e., body motion free) and "moving" (i.e. contaminated by body motion) frames. Each moving frame is further divided into a number of evenly spaced sub-frames (referred to as "sub-moving" frames), in which motion is assumed to be negligible. For motion estimation, we first reconstruct the data in each static and sub-moving frame using a rapid back-projection technique. We then select the longest static frame as the reference frame and estimate elastic motion transformations to the reference frame from all other static and sub-moving frames using nonrigid registration. For motion-compensated image reconstruction, we reconstruct all the list-mode data into a single image volume in the reference frame by incorporating the estimated motion transformations in the PET system matrix. We evaluated the performance of our approach in both phantom and human studies.
resultsVisually, the motion-corrected (MC) PET images obtained using the proposed method have better quality and fewer motion artifacts than the images reconstructed without motion correction (NMC). Quantitative analysis indicates that MC yields higher myocardium to blood pool concentration ratios. MC also yields sharper myocardium than NMC.
conclusionsThe proposed body motion correction method improves image quality of cardiac PET.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.