AIMC Topic: Tomography, Emission-Computed, Single-Photon
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Thyroid Diagnosis from SPECT Images Using Convolutional Neural Network with Optimization.
Computational intelligence and neuroscience
Jan 15, 2019
Thyroid disease has now become the second largest disease in the endocrine field; SPECT imaging is particularly important for the clinical diagnosis of thyroid diseases. However, there is little research on the application of SPECT images in the comp...
Personalized Models for Injected Activity Levels in SPECT Myocardial Perfusion Imaging.
IEEE transactions on medical imaging
Dec 6, 2018
We propose a patient-specific ("personalized") approach for tailoring the injected activities to individual patients in order to achieve dose reduction in SPECT-myocardial perfusion imaging (MPI). First, we develop a strategy to determine the minimum...
Learning SPECT detector angular response function with neural network for accelerating Monte-Carlo simulations.
Physics in medicine and biology
Oct 17, 2018
A method to speed up [Formula: see text] simulations of single photon emission computed tomography (SPECT) imaging is proposed. It uses an artificial neural network (ANN) to learn the angular response function (ARF) of a collimator-detector system. T...
Accuracy of an artificial neural network for detecting a regional abnormality in myocardial perfusion SPECT.
Annals of nuclear medicine
Oct 9, 2018
OBJECTIVES: The patient-based diagnosis with an artificial neural network (ANN) has shown potential utility for the detection of coronary artery disease; however, the region-based accuracy of the detected regions has not been fully evaluated. The aim...
Deep Learning Analysis of Upright-Supine High-Efficiency SPECT Myocardial Perfusion Imaging for Prediction of Obstructive Coronary Artery Disease: A Multicenter Study.
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Sep 27, 2018
Combined analysis of SPECT myocardial perfusion imaging (MPI) performed with a solid-state camera on patients in 2 positions (semiupright, supine) is routinely used to mitigate attenuation artifacts. We evaluated the prediction of obstructive disease...
Diagnostic performance of an artificial intelligence-driven cardiac-structured reporting system for myocardial perfusion SPECT imaging.
Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
Sep 12, 2018
OBJECTIVES: To describe and validate an artificial intelligence (AI)-driven structured reporting system by direct comparison of automatically generated reports to results from actual clinical reports generated by nuclear cardiology experts.
Convolutional Neural Networks for Neuroimaging in Parkinson's Disease: Is Preprocessing Needed?
International journal of neural systems
Jul 26, 2018
Spatial and intensity normalizations are nowadays a prerequisite for neuroimaging analysis. Influenced by voxel-wise and other univariate comparisons, where these corrections are key, they are commonly applied to any type of analysis and imaging moda...
Prediction of cardiac death after adenosine myocardial perfusion SPECT based on machine learning.
Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
Mar 14, 2018
BACKGROUND: We developed machine-learning (ML) models to estimate a patient's risk of cardiac death based on adenosine myocardial perfusion SPECT (MPS) and associated clinical data, and compared their performance to baseline logistic regression (LR)....
Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECT: A Multicenter Study.
JACC. Cardiovascular imaging
Mar 14, 2018
OBJECTIVES: The study evaluated the automatic prediction of obstructive disease from myocardial perfusion imaging (MPI) by deep learning as compared with total perfusion deficit (TPD).
Myocardial Perfusion Imaging
Coronary Stenosis
Technetium Tc 99m Sestamibi
Organotechnetium Compounds
Organophosphorus Compounds
Male
Tomography, Emission-Computed, Single-Photon
Humans
Predictive Value of Tests
Middle Aged
Coronary Circulation
Female
Registries
Deep Learning
Aged
Radiopharmaceuticals
Aged, 80 and over
Image Interpretation, Computer-Assisted
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