AIMC Topic: Tomography, Emission-Computed, Single-Photon
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Increasing angular sampling through deep learning for stationary cardiac SPECT image reconstruction.
Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
May 4, 2022
BACKGROUND: The GE Discovery NM (DNM) 530c/570c are dedicated cardiac SPECT scanners with 19 detector modules designed for stationary imaging. This study aims to incorporate additional projection angular sampling to improve reconstruction quality. A ...
"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...
Fully automated deep learning powered calcium scoring in patients undergoing myocardial perfusion imaging.
Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
Mar 17, 2022
BACKGROUND: To assess the accuracy of fully automated deep learning (DL) based coronary artery calcium scoring (CACS) from non-contrast computed tomography (CT) as acquired for attenuation correction (AC) of cardiac single-photon-emission computed to...
Direct and indirect strategies of deep-learning-based attenuation correction for general purpose and dedicated cardiac SPECT.
European journal of nuclear medicine and molecular imaging
Feb 16, 2022
PURPOSE: Deep-learning-based attenuation correction (AC) for SPECT includes both indirect and direct approaches. Indirect approaches generate attenuation maps (μ-maps) from emission images, while direct approaches predict AC images directly from non-...
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...
Data-driven identification of diagnostically useful extrastriatal signal in dopamine transporter SPECT using explainable AI.
Scientific reports
Nov 25, 2021
This study used explainable artificial intelligence for data-driven identification of extrastriatal brain regions that can contribute to the interpretation of dopamine transporter SPECT with I-FP-CIT in parkinsonian syndromes. A total of 1306 I-FP-CI...
Nerve Degeneration
Tomography, Emission-Computed, Single-Photon
Tropanes
Dopamine Plasma Membrane Transport Proteins
Radiopharmaceuticals
Image Interpretation, Computer-Assisted
Brain
Retrospective Studies
Reproducibility of Results
Parkinson Disease
Diagnosis, Differential
Humans
Predictive Value of Tests
Neural Networks, Computer
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...
A deep-learning-based prediction model for the biodistribution of Y microspheres in liver radioembolization.
Medical physics
Oct 21, 2021
BACKGROUND: Radioembolization with Y microspheres is a treatment approach for liver cancer. Currently, employed dosimetric calculations exhibit low accuracy, lacking consideration of individual patient, and tissue characteristics.
Post-reconstruction attenuation correction for SPECT myocardium perfusion imaging facilitated by deep learning-based attenuation map generation.
Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
Oct 20, 2021
BACKGROUND: Attenuation correction can improve the quantitative accuracy of single-photon emission computed tomography (SPECT) images. Existing SPECT-only systems normally can only provide non-attenuation corrected (NC) images which are susceptible t...
Comparing the Prognostic Value of Stress Myocardial Perfusion Imaging by Conventional and Cadmium-Zinc Telluride Single-Photon Emission Computed Tomography through a Machine Learning Approach.
Computational and mathematical methods in medicine
Oct 16, 2021
We compared the prognostic value of myocardial perfusion imaging (MPI) by conventional- (C-) single-photon emission computed tomography (SPECT) and cadmium-zinc-telluride- (CZT-) SPECT in a cohort of patients with suspected or known coronary artery d...
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