AIMC Topic: Tomography, Emission-Computed, Single-Photon
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Need for objective task-based evaluation of deep learning-based denoising methods: A study in the context of myocardial perfusion SPECT.
Medical physics
Apr 20, 2023
BACKGROUND: Artificial intelligence-based methods have generated substantial interest in nuclear medicine. An area of significant interest has been the use of deep-learning (DL)-based approaches for denoising images acquired with lower doses, shorter...
The Past, Present, and Future Role of Artificial Intelligence in Ventilation/Perfusion Scintigraphy: A Systematic Review.
Seminars in nuclear medicine
Apr 18, 2023
Ventilation-perfusion (V/Q) lung scans constitute one of the oldest nuclear medicine procedures, remain one of the few studies performed in the acute setting, and are amongst the few performed in the emergency setting. V/Q studies have witnessed a lo...
Non-invasive regional cerebral blood flow quantification in the 123I-IMP autoradiography using artificial neural network.
PloS one
Mar 8, 2023
PURPOSE: Regional cerebral blood flow (rCBF) quantification using 123I-N-isopropyl-p-iodoamphetamine (123I-IMP) requires an invasive, one-time-only arterial blood sampling for measuring the 123I-IMP arterial blood radioactivity concentration (Ca10). ...
Automatic reorientation by deep learning to generate short-axis SPECT myocardial perfusion images.
Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
Mar 1, 2023
BACKGROUND: Single photon emission computed tomography (SPECT) myocardial perfusion images (MPI) can be displayed both in traditional short-axis (SA) cardiac planes and polar maps for interpretation and quantification. It is essential to reorient the...
Multi-center, multi-vendor validation of deep learning-based attenuation correction in SPECT MPI: data from the international flurpiridaz-301 trial.
European journal of nuclear medicine and molecular imaging
Nov 19, 2022
PURPOSE: Although SPECT myocardial perfusion imaging (MPI) is susceptible to artifacts from soft tissue attenuation, most scans are performed without attenuation correction. Deep learning-based attenuation corrected (DLAC) polar maps improved diagnos...
AI-based classification algorithms in SPECT myocardial perfusion imaging for cardiovascular diagnosis: a review.
Nuclear medicine communications
Nov 15, 2022
In the last few years, deep learning has made a breakthrough and established its position in machine learning classification problems in medical image analysis. Deep learning has recently displayed remarkable applicability in a range of different med...
Deep learning for myocardial ischemia auxiliary diagnosis using CZT SPECT myocardial perfusion imaging.
Journal of the Chinese Medical Association : JCMA
Oct 28, 2022
BACKGROUND: The World Health Organization reported that cardiovascular disease is the most common cause of death worldwide. On average, one person dies of heart disease every 26 min worldwide. Deep learning approaches are characterized by the appropr...
Direct Risk Assessment From Myocardial Perfusion Imaging Using Explainable Deep Learning.
JACC. Cardiovascular imaging
Oct 19, 2022
BACKGROUND: Myocardial perfusion imaging (MPI) is frequently used to provide risk stratification, but methods to improve the accuracy of these predictions are needed.
Deep Learning Coronary Artery Calcium Scores from SPECT/CT Attenuation Maps Improve Prediction of Major Adverse Cardiac Events.
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Oct 7, 2022
Low-dose ungated CT attenuation correction (CTAC) scans are commonly obtained with SPECT/CT myocardial perfusion imaging. Despite the characteristically low image quality of CTAC, deep learning (DL) can potentially quantify coronary artery calcium (C...
Mitigating bias in deep learning for diagnosis of coronary artery disease from myocardial perfusion SPECT images.
European journal of nuclear medicine and molecular imaging
Oct 4, 2022
PURPOSE: Artificial intelligence (AI) has high diagnostic accuracy for coronary artery disease (CAD) from myocardial perfusion imaging (MPI). However, when trained using high-risk populations (such as patients with correlating invasive testing), the ...
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