ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2018
Investigation of dose reduction in cardiac perfusion SPECT via optimization and choice of the image reconstruction strategy.
Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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22 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.
- Diagnostic Effect of Attenuation Correction in Myocardial Perfusion Imaging in Different Coronary Arteries: A Systematic Review and Meta-Analysis.Frontiers in cardiovascular medicine · 2021Pooled it
- Weight-based determination of administered activity inPediatric radiology · 2025Article
- Investigation of scatter energy window width and count levels for deep learning-based attenuation map estimation in cardiac SPECT/CT imaging.Physics in medicine and biology · 2024Article
- SPECT-MPI iterative denoising during the reconstruction process using a two-phase learned convolutional neural network.EJNMMI physics · 2024Article
- DEMIST: A Deep-Learning-Based Detection-Task-Specific Denoising Approach for Myocardial Perfusion SPECT.IEEE transactions on radiation and plasma medical sciences · 2024Article
- Observer studies of image quality of denoising reduced-count cardiac single photon emission computed tomography myocardial perfusion imaging by three-dimensional Gaussian post-reconstruction filtering and deep learning.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023Article
- Comparison of deep learning-based denoising methods in cardiac SPECT.EJNMMI physics · 2023Article
- A task-specific deep-learning-based denoising approach for myocardial perfusion SPECT.Proceedings of SPIE--the International Society for Optical Engineering · 2023Article
- Improving detection accuracy of perfusion defect in standard dose SPECT-myocardial perfusion imaging by deep-learning denoising.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022Article
- The important role of task-based model observers and related techniques in medical imaging.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021Article
- Retrospective fractional dose reduction in Tc-99m cardiac perfusion SPECT/CT patients: A human and model observer study.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021Article
- Patient-specific SPECT imaging protocols to standardize image noise.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021Article
- Deep learning with noise-to-noise training for denoising in SPECT myocardial perfusion imaging.Medical physics · 2021Article
- Improving Diagnostic Accuracy in Low-Dose SPECT Myocardial Perfusion Imaging With Convolutional Denoising Networks.IEEE transactions on medical imaging · 2020Article
- How low can we go?Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020Article
- Evaluation of the effect of reducing administered activity on assessment of function in cardiac gated SPECT.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020Article
- Improving perfusion defect detection with respiratory motion correction in cardiac SPECT at standard and reduced doses.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2019Article
- Personalized Models for Injected Activity Levels in SPECT Myocardial Perfusion Imaging.IEEE transactions on medical imaging · 2019Article
- Impact of non-specific normal databases on perfusion quantification of low-dose myocardial SPECT studies.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2019Article
- Cardiac motion correction for improving perfusion defect detection in cardiac SPECT at standard and reduced doses of activity.Physics in medicine and biology · 2019Article
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7 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundWe investigated the extent to which the administered dose (activity) level can be reduced without sacrificing diagnostic accuracy for three reconstruction strategies for SPECT-myocardial perfusion imaging (MPI).
methodsWe optimized the parameters of the three reconstruction strategies for perfusion-defect detection over a range of simulated administered dose levels using a set of hybrid studies (derived from 190 subjects) consisting of clinical SPECT-MPI data modified to contain realistic simulated lesions. The optimized strategies we considered are filtered backprojection (FBP) with no correction for degradations, ordered-subsets expectation-maximization (OS-EM) with attenuation correction (AC), scatter correction (SC), and resolution correction (RC), and OS-EM with scatter and resolution correction only. Each study was evaluated using a total perfusion deficit (TPD) score computed by the Quantitative Perfusion SPECT (QPS) software package. We conducted a receiver operating characteristics (ROC) study based on the TPD scores for each dose level and reconstruction strategy.
resultsFor FBP, the achieved optimum values of the area under the ROC curve (AUC) at 100%, 50%, 25%, and 12.5% of standard dose were 0.75, 0.74, 0.72, and 0.70, respectively, compared to 0.81, 0.79, 0.76, and 0.74 for OS-EM with AC-SC-RC and 0.78, 0.77, 0.74, 0.72 for OS-EM with SC-RC.
conclusionsOur results suggest that studies reconstructed by OS-EM with AC-SC-RC could possibly be reduced, on average, to 25% of the originally administered dose without causing diagnostic accuracy (AUC) to decrease below that of FBP.
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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 OpenQuestion graph.