ArticleJournal of nuclear medicine : official publication, Society of Nuclear Medicine2023
Deep Learning-Based Attenuation Correction Improves Diagnostic Accuracy of Cardiac SPECT.
Article in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
25 citing papers in PubMed, 54 citations in OpenAlex.
- General Purpose Deep Learning Attenuation Correction Improves Diagnostic Accuracy of SPECT MPI: A Multicenter Study.JACC. Cardiovascular imaging · 2025Trial
- The prognostic value of quantitative myocardial blood flow and flow reserve by dynamic CZT-SPECT for major adverse cardiovascular events.European journal of nuclear medicine and molecular imaging · 2026Article
- Approximate CT-free patient specific attenuation correction method for cardiac-dedicated pinhole CZT system: a feasibility phantom study.EJNMMI physics · 2026Article
- AI-based synthetic CT attenuation correction enables reliable quantitative SPECT in unilateral condylar hyperplasia.EJNMMI physics · 2026Article
- Artificial Intelligence and Digital Technology in Cardiovascular Imaging: A Narrative Review.Biotech (Basel (Switzerland)) · 2026Review
- Attenuation correction of cardiacEJNMMI physics · 2026Article
- Development and in silico imaging trial evaluation of a deep-learning-based transmission-less attenuation compensation method for DaT SPECT.Medical physics · 2025Article
- Advances in Imaging Techniques for Assessing Myocardial Microcirculation in People with Diabetes : An Overview of Current Techniques, Emerging Techniques, and Clinical Applications.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025Review
- Artificial Intelligence in Nuclear Cardiac Imaging: Novel Advances, Emerging Techniques, and Recent Clinical Trials.Journal of clinical medicine · 2025Review
- Deep learning-based CT-free attenuation correction for cardiac SPECT: a new approach.BMC medical imaging · 2025Article
- On the Effect of the Patient Table on Attenuation in Myocardial Perfusion Imaging SPECT.EJNMMI physics · 2025Article
- The role of deep learning in myocardial perfusion imaging for diagnosis and prognosis: A systematic review.iScience · 2024Review
- A medical disease assisted diagnosis method based on lightweight fuzzy SZGWO-ELM neural network model.Scientific reports · 2024Article
- Article
- Deep-learning-based attenuation map generation in kidney single photon emission computed tomography.EJNMMI physics · 2024Article
- Radiation Detectors and Sensors in Medical Imaging.Sensors (Basel, Switzerland) · 2024Review
- Deep learning approach using SPECT-to-PET translation for attenuation correction in CT-less myocardial perfusion SPECT imaging.Annals of nuclear medicine · 2024Article
- Activity quantification and dosimetry in radiopharmaceutical therapy with reference toFrontiers in nuclear medicine · 2024Review
- 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
- The past, present, and future of attenuation correction for myocardial perfusion imaging.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023Article
Corrections and comments
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Authors and funding
15 authors at 5 institutions in 4 countries.
Funding
Abstract
To improve diagnostic accuracy, myocardial perfusion imaging (MPI) SPECT studies can use CT-based attenuation correction (AC). However, CT-based AC is not available for most SPECT systems in clinical use, increases radiation exposure, and is impacted by misregistration. We developed and externally validated a deep-learning model to generate simulated AC images directly from non-AC (NC) SPECT, without the need for CT.
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Registered trials
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.