AIMC Topic: Perfusion
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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 ...
Signal intensity informed multi-coil encoding operator for physics-guided deep learning reconstruction of highly accelerated myocardial perfusion CMR.
Magnetic resonance in medicine
Sep 21, 2022
PURPOSE: To develop a physics-guided deep learning (PG-DL) reconstruction strategy based on a signal intensity informed multi-coil (SIIM) encoding operator for highly-accelerated simultaneous multislice (SMS) myocardial perfusion cardiac MRI (CMR).
Polar map-free 3D deep learning algorithm to predict obstructive coronary artery disease with myocardial perfusion CZT-SPECT.
European journal of nuclear medicine and molecular imaging
Sep 14, 2022
PURPOSE: Deep learning (DL) models have been shown to outperform total perfusion deficit (TPD) quantification in predicting obstructive coronary artery disease (CAD) from myocardial perfusion imaging (MPI). However, previously published methods have ...
Deep-learning-based estimation of attenuation map improves attenuation correction performance over direct attenuation estimation for myocardial perfusion SPECT.
Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
Sep 12, 2022
BACKGROUND: Deep learning (DL)-based attenuation correction (AC) is promising to improve myocardial perfusion (MP) SPECT. We aimed to optimize and compare the DL-based direct and indirect AC methods, with and without SPECT and CT mismatch.
Image level detection of large vessel occlusion on 4D-CTA perfusion data using deep learning in acute stroke.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Sep 10, 2022
OBJECTIVES: Automated image-level detection of large vessel occlusions (LVO) could expedite patient triage for mechanical thrombectomy. A few studies have previously attempted LVO detection using artificial intelligence (AI) on CT angiography (CTA) i...
Deep learning-based denoising in projection-domain and reconstruction-domain for low-dose myocardial perfusion SPECT.
Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
Aug 18, 2022
BACKGROUND: Low-dose (LD) myocardial perfusion (MP) SPECT suffers from high noise level, leading to compromised diagnostic accuracy. Here we investigated the denoising performance for MP-SPECT using a conditional generative adversarial network (cGAN)...
Deep-learning reconstruction to improve image quality of myocardial dynamic CT perfusion: comparison with hybrid iterative reconstruction.
Clinical radiology
Jul 16, 2022
Deep Learning Denoising for Myocardial Perfusion CT with a Residual Dense Network.
Radiology
Jun 28, 2022
Editorial for "Perfusion Maps Acquired from Dynamic Angiography MRI Using Deep Learning Approaches".
Journal of magnetic resonance imaging : JMRI
Jun 22, 2022
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