ArticleMedical & biological engineering & computing2017
Motion detection and amelioration in a dedicated cardiac solid-state CZT SPECT device.
Article in Medical & biological engineering & computing, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Instrumentation Digital Twins in PET and SPECT Imaging: Current Status, Challenges, and Future Directions.Computational and structural biotechnology journal · 2026Review
- AI-based automatic patient positioning in a digital-BGO PET/CT scanner: efficacy and impact.EJNMMI physics · 2025Article
- DuDoCFNet: Dual-Domain Coarse-to-Fine Progressive Network for Simultaneous Denoising, Limited-View Reconstruction, and Attenuation Correction of Cardiac SPECT.IEEE transactions on medical imaging · 2024Article
- Compared vulnerabilities to small cardiac motions between different cameras used for myocardial perfusion imaging.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2019Article
- Novel SPECT Technologies and Approaches in Cardiac Imaging.Cardiovascular innovations and applications · 2016Article
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Authors and funding
2 authors.
Funding
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Abstract
A solid-state cadmium zinc tellurium (CZT) dedicated multipinhole cardiac camera which acquires all views simultaneously has been introduced for myocardial SPECT acquisition. We report a method to detect and ameliorate patient motion artifacts in myocardial perfusion imaging (MPI) studies recorded with this device. To detect motion, a myocardial phantom study was recorded, and at mid-scan, the phantom was moved stepwise along each of 6 orthogonal directions, causing MPI artifacts. Using QPS software (Cedars-Sinai) and an in-house normal database, displacements giving artifactual perfusion defects (total perfusion deficit score, TPD, >5 %) were all 1.5 cm or greater (11.2 ± 1.3 % for 1.5 cm). List mode data were reframed into 10-s steps, and the norm of the changes in center of mass among the 19 projections (32 × 32 matrix, pixel size 2.46 mm) was used as a motion index. Rejection of misregistered data gave artifact-free reconstructions (TPD = 1.0 ± 0.8 %) in phantom scans and reduced blur in a rest/stress clinical study. Blur on the patient's stress scan was consistent with increased motion compared to rest (motion index of 4.4 vs. 3.0 pixels, respectively). For CZT cameras that acquire data from multiple views simultaneously, motion during MPI can cause clinically significant artifacts. Reframing acquisitions into discrete time intervals enables the detection of motion and its amelioration, improving diagnostic accuracy.
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Registered trials
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