AIMC Topic: Tomography, Emission-Computed, Single-Photon

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Machine learning methods for optimal prediction of motor outcome in Parkinson's disease.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Jan 7, 2020
PURPOSE: It is vital to appropriately power clinical trials towards discovery of novel disease-modifying therapies for Parkinson's disease (PD). Thus, it is critical to improve prediction of outcome in PD patients.
Reproducibility of Results Aged Aged, 80 and over Adult Algorithms Computer Simulation Female Parkinson Disease Pattern Recognition, Automated Tomography, Emission-Computed, Single-Photon Dopamine Plasma Membrane Transport Proteins Male Middle Aged Treatment Outcome Humans Machine Learning
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Intelligent Imaging: Radiomics and Artificial Neural Networks in Heart Failure.

Journal of medical imaging and radiation sciences Oct 3, 2019
BACKGROUND: Our previous work with iodine meta-iodobenzylguanidine (I-mIBG) radionuclide imaging among patients with cardiomyopathy reported limitations associated with the prognostic power of global parameters derived from planar imaging [1]. Employ...
Humans Neural Networks, Computer Heart Heart Failure Tomography, Emission-Computed, Single-Photon
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Automatic classification of dopamine transporter SPECT: deep convolutional neural networks can be trained to be robust with respect to variable image characteristics.

European journal of nuclear medicine and molecular imaging Aug 31, 2019
PURPOSE: This study investigated the potential of deep convolutional neural networks (CNN) for automatic classification of FP-CIT SPECT in multi-site or multi-camera settings with variable image characteristics.
Humans Female Aged Male Automation Tomography, Emission-Computed, Single-Photon Dopamine Plasma Membrane Transport Proteins Deep Learning Image Processing, Computer-Assisted Parkinson Disease
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High-Resolution SPECT Imaging of Stimuli-Responsive Soft Microrobots.

Small (Weinheim an der Bergstrasse, Germany) Jul 15, 2019
Untethered small-scale robots have great potential for biomedical applications. However, critical barriers to effective translation of these miniaturized machines into clinical practice exist. High resolution tracking and imaging in vivo is one of th...
Tomography, X-Ray Computed Robotics Microtechnology Tomography, Emission-Computed, Single-Photon Photography Theranostic Nanomedicine
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Classification of degenerative parkinsonism subtypes by support-vector-machine analysis and striatal I-FP-CIT indices.

Journal of neurology Apr 29, 2019
OBJECTIVES: To provide an automated classification method for degenerative parkinsonian syndromes (PS) based on semiquantitative I-FP-CIT SPECT striatal indices and support-vector-machine (SVM) analysis.
Middle Aged Aged, 80 and over Humans Support Vector Machine Retrospective Studies Adult Tomography, Emission-Computed, Single-Photon Iodine Radioisotopes Parkinsonian Disorders Female Male Corpus Striatum Aged
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Application of Artificial Neural Networks to Identify Alzheimer's Disease Using Cerebral Perfusion SPECT Data.

International journal of environmental research and public health Apr 11, 2019
The aim of this study was to demonstrate the usefulness of artificial neural networks in Alzheimer disease diagnosis (AD) using data of brain single photon emission computed tomography (SPECT). The results were compared with discriminant analysis. Th...
Humans Middle Aged Case-Control Studies Aged, 80 and over Tomography, Emission-Computed, Single-Photon ROC Curve Neural Networks, Computer Discriminant Analysis Sensitivity and Specificity Female Alzheimer Disease Male Aged
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Feasible Classified Models for Parkinson Disease from Tc-TRODAT-1 SPECT Imaging.

Sensors (Basel, Switzerland) Apr 11, 2019
The neuroimaging techniques such as dopaminergic imaging using Single Photon Emission Computed Tomography (SPECT) with Tc-TRODAT-1 have been employed to detect the stages of Parkinson's disease (PD). In this retrospective study, a total of 202 Tc-TRO...
Dopaminergic Neurons Dopamine Plasma Membrane Transport Proteins Organotechnetium Compounds Middle Aged Support Vector Machine Parkinson Disease Tomography, Emission-Computed, Single-Photon Tropanes Dopamine Humans Corpus Striatum Aged, 80 and over Adult Male Retrospective Studies Female Aged
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Artificial Intelligence in Nuclear Cardiology.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Mar 29, 2019
Nuclear Medicine Deep Learning Image Processing, Computer-Assisted Algorithms Humans Myocardial Perfusion Imaging Multicenter Studies as Topic Prognosis Artificial Intelligence Risk Assessment Diagnostic Imaging Cardiology Machine Learning Tomography, Emission-Computed, Single-Photon
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Generation of virtual lung single-photon emission computed tomography/CT fusion images for functional avoidance radiotherapy planning using machine learning algorithms.

Journal of medical imaging and radiation oncology Mar 15, 2019
INTRODUCTION: Functional image-guided radiotherapy (RT) planning for normal lung avoidance has recently been introduced. Single-photon emission computed tomography (SPECT)/CT can help identify the functional areas of lungs, but it is associated with ...
Lung Neoplasms Radiotherapy Planning, Computer-Assisted Tomography, Emission-Computed, Single-Photon Radiotherapy, Image-Guided Humans Machine Learning
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Left ventricle segmentation in the era of deep learning.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology Mar 4, 2019
Feasibility Studies Deep Learning Tomography, Emission-Computed, Single-Photon Image Processing, Computer-Assisted Heart Ventricles
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