AIMC Journal:
IEEE transactions on medical imaging

Showing 521 to 530 of 692 articles

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...
Female Aged Male Machine Learning Humans Precision Medicine Tomography, Emission-Computed, Single-Photon Myocardial Perfusion Imaging Radiometry Middle Aged ROC Curve Radioisotopes
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3D Auto-Context-Based Locality Adaptive Multi-Modality GANs for PET Synthesis.

IEEE transactions on medical imaging Nov 29, 2018
Positron emission tomography (PET) has been substantially used recently. To minimize the potential health risk caused by the tracer radiation inherent to PET scans, it is of great interest to synthesize the high-quality PET image from the low-dose on...
Magnetic Resonance Imaging Positron-Emission Tomography Humans Radiation Dosage Brain Databases, Factual Phantoms, Imaging Deep Learning Imaging, Three-Dimensional
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A Recurrent CNN for Automatic Detection and Classification of Coronary Artery Plaque and Stenosis in Coronary CT Angiography.

IEEE transactions on medical imaging Nov 28, 2018
Various types of atherosclerotic plaque and varying grades of stenosis could lead to different management of patients with a coronary artery disease. Therefore, it is crucial to detect and classify the type of coronary artery plaque, as well as to de...
Image Processing, Computer-Assisted Coronary Angiography Coronary Vessels Neural Networks, Computer Algorithms Plaque, Atherosclerotic Humans Computed Tomography Angiography Coronary Stenosis
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Hyperspectral Tissue Image Segmentation Using Semi-Supervised NMF and Hierarchical Clustering.

IEEE transactions on medical imaging Nov 26, 2018
Hyperspectral imaging (HSI) of tissue samples in the mid-infrared (mid-IR) range provides spectro-chemical and tissue structure information at sub-cellular spatial resolution. Disease states can be directly assessed by analyzing the mid-IR spectra of...
Colonic Diseases Image Interpretation, Computer-Assisted Optical Imaging Spectrophotometry, Infrared Cluster Analysis Humans Colon Supervised Machine Learning Image Processing, Computer-Assisted
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Novel Effective Connectivity Inference Using Ultra-Group Constrained Orthogonal Forward Regression and Elastic Multilayer Perceptron Classifier for MCI Identification.

IEEE transactions on medical imaging Nov 20, 2018
Mild cognitive impairment (MCI) detection is important, such that appropriate interventions can be imposed to delay or prevent its progression to severe stages, including Alzheimer's disease (AD). Brain connectivity network inferred from the function...
Humans Magnetic Resonance Imaging Neural Networks, Computer Alzheimer Disease Algorithms Brain Image Interpretation, Computer-Assisted Databases, Factual Cognitive Dysfunction
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Deep Sequential Segmentation of Organs in Volumetric Medical Scans.

IEEE transactions on medical imaging Nov 16, 2018
Segmentation in 3-D scans is playing an increasingly important role in current clinical practice supporting diagnosis, tissue quantification, or treatment planning. The current 3-D approaches based on convolutional neural networks usually suffer from...
Spine Humans Algorithms Tomography, X-Ray Computed Deep Learning Imaging, Three-Dimensional Liver
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Synthesizing Chest X-Ray Pathology for Training Deep Convolutional Neural Networks.

IEEE transactions on medical imaging Nov 14, 2018
Medical datasets are often highly imbalanced with over-representation of prevalent conditions and poor representation of rare medical conditions. Due to privacy concerns, it is challenging to aggregate large datasets between health care institutions....
Image Interpretation, Computer-Assisted Radiography, Thoracic Respiratory Tract Diseases Neural Networks, Computer Databases, Factual Adult Humans
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Splenomegaly Segmentation on Multi-Modal MRI Using Deep Convolutional Networks.

IEEE transactions on medical imaging Nov 13, 2018
The findings of splenomegaly, abnormal enlargement of the spleen, is a non-invasive clinical biomarker for liver and spleen diseases. Automated segmentation methods are essential to efficiently quantify splenomegaly from clinically acquired abdominal...
Image Interpretation, Computer-Assisted Spleen Splenomegaly Imaging, Three-Dimensional Magnetic Resonance Imaging Humans Neural Networks, Computer
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Data-Driven Elasticity Imaging Using Cartesian Neural Network Constitutive Models and the Autoprogressive Method.

IEEE transactions on medical imaging Nov 5, 2018
Quasi-static elasticity imaging techniques rely on model-based mathematical inverse methods to estimate mechanical parameters from force-displacement measurements. These techniques introduce simplifying assumptions that preclude exploration of unknow...
Computer Simulation Image Processing, Computer-Assisted Phantoms, Imaging Neural Networks, Computer Algorithms Databases, Factual Elasticity Imaging Techniques Finite Element Analysis Elastic Modulus
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Unsupervised Feature Extraction via Deep Learning for Histopathological Classification of Colon Tissue Images.

IEEE transactions on medical imaging Nov 2, 2018
Histopathological examination is today's gold standard for cancer diagnosis. However, this task is time consuming and prone to errors as it requires a detailed visual inspection and interpretation of a pathologist. Digital pathology aims at alleviati...
Colon Deep Learning Humans Unsupervised Machine Learning Algorithms Image Interpretation, Computer-Assisted Histocytochemistry
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