AIMC Topic: Perfusion
Clear Filters Showing 31 to 40 of 72 articles
Perfusion Maps Acquired From Dynamic Angiography MRI Using Deep Learning Approaches.
Journal of magnetic resonance imaging : JMRI
Jun 21, 2022
BACKGROUND: A typical stroke MRI protocol includes perfusion-weighted imaging (PWI) and MR angiography (MRA), requiring a second dose of contrast agent. A deep learning method to acquire both PWI and MRA with single dose can resolve this issue.
Using a deep learning algorithm to score coronary artery calcium in myocardial perfusion imaging: A real opportunity or just a new hype?
Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
Jun 20, 2022
Deep learning prediction of quantitative coronary angiography values using myocardial perfusion images with a CZT camera.
Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
May 24, 2022
PURPOSE: Evaluate the prediction of quantitative coronary angiography (QCA) values from MPI, by means of deep learning.
Deep learning: Opening a third eye to myocardial perfusion imaging.
Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
May 12, 2022
"Virtual" attenuation correction: improving stress myocardial perfusion SPECT imaging using deep learning.
European journal of nuclear medicine and molecular imaging
Mar 21, 2022
PURPOSE: Myocardial perfusion imaging (MPI) using single-photon emission computed tomography (SPECT) is widely used for coronary artery disease (CAD) evaluation. Although attenuation correction is recommended to diminish image artifacts and improve d...
Diagnostic performance of deep learning algorithm for analysis of computed tomography myocardial perfusion.
European journal of nuclear medicine and molecular imaging
Feb 23, 2022
PURPOSE: To evaluate the diagnostic accuracy of a deep learning (DL) algorithm predicting hemodynamically significant coronary artery disease (CAD) by using a rest dataset of myocardial computed tomography perfusion (CTP) as compared to invasive eval...
Practical Perfusion Quantification in Multispectral Endoscopic Video: Using the Minutes after ICG Administration to Assess Tissue Pathology.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Feb 21, 2022
The wide availability of near infrared light sources in interventional medical imaging stacks enables non-invasive quantification of perfusion by using fluorescent dyes, typically Indocyanine Green (ICG). Due to their often leaky and chaotic vasculat...
A myocardial extraction method using deep learning for 99mTc myocardial perfusion SPECT images: A basic study to reduce the effects of extra-myocardial activity.
Computers in biology and medicine
Dec 23, 2021
AIM: The purpose of this study was to automatically extract myocardial regions from transaxial single-photon emission computed tomography (SPECT) images using deep learning to reduce the effects of extracardiac activity, which has been problematic in...
Deep learning-based denoising of low-dose SPECT myocardial perfusion images: quantitative assessment and clinical performance.
European journal of nuclear medicine and molecular imaging
Nov 15, 2021
PURPOSE: This work was set out to investigate the feasibility of dose reduction in SPECT myocardial perfusion imaging (MPI) without sacrificing diagnostic accuracy. A deep learning approach was proposed to synthesize full-dose images from the corresp...
Improving Sensitivity of Arterial Spin Labeling Perfusion MRI in Alzheimer's Disease Using Transfer Learning of Deep Learning-Based ASL Denoising.
Journal of magnetic resonance imaging : JMRI
Nov 6, 2021
BACKGROUND: Arterial spin labeling (ASL) perfusion magnetic resonance imaging (MRI) denoising through deep learning (DL) often faces insufficient training data from patients. One solution is to train DL models using healthy subjects' data which are m...
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