AIMC Topic: Radionuclide Imaging
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Multicenter, Scan-Rescan, Human and Machine Learning CMR Study to Test Generalizability and Precision in Imaging Biomarker Analysis: A Solid Basis for Future Work.
Circulation. Cardiovascular imaging
Sep 24, 2019
Denoising of Scintillation Camera Images Using a Deep Convolutional Neural Network: A Monte Carlo Simulation Approach.
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Jul 19, 2019
Scintillation camera images contain a large amount of Poisson noise. We have investigated whether noise can be removed in whole-body bone scans using convolutional neural networks (CNNs) trained with sets of noisy and noiseless images obtained by Mon...
k-Space deep learning for reference-free EPI ghost correction.
Magnetic resonance in medicine
Jul 18, 2019
PURPOSE: Nyquist ghost artifacts in echo planar imaging (EPI) are originated from phase mismatch between the even and odd echoes. However, conventional correction methods using reference scans often produce erroneous results especially in high-field ...
Deep learning for patient-specific quality assurance: Identifying errors in radiotherapy delivery by radiomic analysis of gamma images with convolutional neural networks.
Medical physics
Dec 28, 2018
PURPOSE: Patient-specific quality assurance (QA) for intensity-modulated radiation therapy (IMRT) is a ubiquitous clinical procedure, but conventional methods have often been criticized as being insensitive to errors or less effective than other comm...
Iterative quality enhancement via residual-artifact learning networks for low-dose CT.
Physics in medicine and biology
Oct 23, 2018
Radiation exposure and the associated risk of cancer for patients in computed tomography (CT) scans have been major clinical concerns. The radiation exposure can be reduced effectively via lowering the x-ray tube current (mA). However, this strategy ...
Scan-specific robust artificial-neural-networks for k-space interpolation (RAKI) reconstruction: Database-free deep learning for fast imaging.
Magnetic resonance in medicine
Sep 18, 2018
PURPOSE: To develop an improved k-space reconstruction method using scan-specific deep learning that is trained on autocalibration signal (ACS) data.
Radionuclide Imaging
Phantoms, Imaging
Humans
Middle Aged
Deep Learning
Image Processing, Computer-Assisted
Magnetic Resonance Imaging
Female
Brain Mapping
Young Adult
Heart
Adult
Image Interpretation, Computer-Assisted
Male
Image Enhancement
Neural Networks, Computer
Algorithms
Databases, Factual
Brain
Effect of Switching from Cilnidipine to Azelnidipine on Cardiac Sympathetic Nerve Function in Patients with Heart Failure Preserved Ejection Fraction.
International heart journal
Dec 20, 2017
Cardiac sympathetic nerve activity is known to play a key role in the development and progression of heart failure (HF). Azelnidipine, an L-type calcium channel blocker (CCB), inhibits the sympathetic nerve activity of the central system. In contrast...
Aged
Aged, 80 and over
Adult
Male
Dihydropyridines
Humans
Sympathetic Nervous System
Retrospective Studies
Female
Drug Substitution
Follow-Up Studies
Calcium Channel Blockers
Dose-Response Relationship, Drug
Radionuclide Imaging
Heart
Azetidinecarboxylic Acid
Heart Failure
Stroke Volume
Echocardiography
Middle Aged
Treatment Outcome
Parathyroid hormone in washout fluid seems to be superior to cytology for localization of the lesion in MIBI-negative patients with primary hyperparathyroidism.
Turkish journal of medical sciences
Dec 19, 2017
Background/aim: Primary hyperparathyroidism (PHPT) is characterized by increased calcium (Ca) and parathyroid hormone (PTH) levels. Surgical removal of the culprit hyperfunctioning parathyroid gland is the preferred treatment. In this study, we aimed...
Refining diagnosis of Parkinson's disease with deep learning-based interpretation of dopamine transporter imaging.
NeuroImage. Clinical
Sep 10, 2017
Dopaminergic degeneration is a pathologic hallmark of Parkinson's disease (PD), which can be assessed by dopamine transporter imaging such as FP-CIT SPECT. Until now, imaging has been routinely interpreted by human though it can show interobserver va...
Expert System for Bone Scan Interpretation Improves Progression Assessment in Bone Metastatic Prostate Cancer.
Advances in therapy
Mar 7, 2017
INTRODUCTION: The bone scan index (BSI) was introduced as a quantitative tool for tumor involvement in bone of patients with metastatic prostate cancer (mPCa). The computer-aided diagnosis device for BSI analysis EXINIbone seems to represent technica...
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