AIMC Topic: Tomography, Emission-Computed, Single-Photon
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Improved motor outcome prediction in Parkinson's disease applying deep learning to DaTscan SPECT images.
Computers in biology and medicine
Mar 6, 2021
PURPOSE: Dopamine transporter (DAT) SPECT imaging is routinely used in the diagnosis of Parkinson's disease (PD). Our previous efforts demonstrated the use of DAT SPECT images in a data-driven manner by improving prediction of PD clinical assessment ...
Automatic attenuation map estimation from SPECT data only for brain perfusion scans using convolutional neural networks.
Physics in medicine and biology
Mar 4, 2021
In clinical brain SPECT, correction for photon attenuation in the patient is essential to obtain images which provide quantitative information on the regional activity concentration per unit volume (kBq.[Formula: see text]). This correction generally...
Direct Attenuation Correction Using Deep Learning for Cardiac SPECT: A Feasibility Study.
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Feb 26, 2021
Dedicated cardiac SPECT scanners with cadmium-zinc-telluride cameras have shown capabilities for shortened scan times or reduced radiation doses, as well as improved image quality. Since most dedicated scanners do not have integrated CT, image quanti...
Modeling complex particles phase space with GAN for Monte Carlo SPECT simulations: a proof of concept.
Physics in medicine and biology
Feb 20, 2021
A method is proposed to model by a generative adversarial network the distribution of particles exiting a patient during Monte Carlo simulation of emission tomography imaging devices. The resulting compact neural network is then able to generate part...
Deep learning based automated diagnosis of bone metastases with SPECT thoracic bone images.
Scientific reports
Feb 19, 2021
SPECT nuclear medicine imaging is widely used for treating, diagnosing, evaluating and preventing various serious diseases. The automated classification of medical images is becoming increasingly important in developing computer-aided diagnosis syste...
Aged, 80 and over
Adult
Male
Middle Aged
Female
Reproducibility of Results
Aged
Bone Neoplasms
Image Interpretation, Computer-Assisted
Automation
Tomography, Emission-Computed, Single-Photon
Deep Learning
ROC Curve
Image Processing, Computer-Assisted
Data Analysis
Algorithms
Humans
Whole Body Imaging
Diagnostic accuracy of stress-only myocardial perfusion SPECT improved by deep learning.
European journal of nuclear medicine and molecular imaging
Jan 29, 2021
PURPOSE: Deep convolutional neural networks (CNN) for single photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI) has been used to improve the diagnostic accuracy of coronary artery disease (CAD). This study was to design an...
Clinical value of machine learning-based interpretation of I-123 FP-CIT scans to detect Parkinson's disease: a two-center study.
Annals of nuclear medicine
Jan 20, 2021
PURPOSE: Our aim was to develop and validate a machine learning (ML)-based approach for interpretation of I-123 FP-CIT SPECT scans to discriminate Parkinson's disease (PD) from non-PD and to determine its generalizability and clinical value in two ce...
Reducing scan time of paediatric Tc-DMSA SPECT via deep learning.
Clinical radiology
Dec 16, 2020
AIM: To investigate the feasibility of reducing the scan time of paediatric technetium 99m (Tc) dimercaptosuccinic acid (DMSA) single-photon-emission computed tomographic (SPECT) using a deep learning (DL) method.
An easy-to-use deep-learning model for highly accurate diagnosis of Parkinson's disease using SPECT images.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Nov 24, 2020
Accurate diagnosis of Parkinson's Disease (PD) at its early stages remains a challenge for modern clinicians. In this study, we utilize a convolutional neural network (CNN) approach to address this problem. In particular, we develop a CNN-based netwo...
Deep learning with noise-to-noise training for denoising in SPECT myocardial perfusion imaging.
Medical physics
Nov 23, 2020
PURPOSE: Post-reconstruction filtering is often applied for noise suppression due to limited data counts in myocardial perfusion imaging (MPI) with single-photon emission computed tomography (SPECT). We study a deep learning (DL) approach for denoisi...
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