AIMC Topic: Magnetic Resonance Imaging
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Automation of a Rule-based Workflow to Estimate Age from Brain MR Imaging of Infants and Children Up to 2 Years Old Using Stacked Deep Learning.
Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine
Dec 10, 2021
PURPOSE: Myelination-related MR signal changes in white matter are helpful for assessing normal development in infants and children. A rule-based myelination evaluation workflow regarding signal changes on T1-weighted images (T1WIs) and T2-weighted i...
Deep-learning-assisted algorithm for catheter reconstruction during MR-only gynecological interstitial brachytherapy.
Journal of applied clinical medical physics
Dec 10, 2021
Magnetic resonance imaging (MRI) offers excellent soft-tissue contrast enabling the contouring of targets and organs at risk during gynecological interstitial brachytherapy procedure. Despite its advantage, one of the main obstacles preventing a tran...
Deep Learning Assisted Diagnosis of Musculoskeletal Tumors Based on Contrast-Enhanced Magnetic Resonance Imaging.
Journal of magnetic resonance imaging : JMRI
Dec 9, 2021
BACKGROUND: Misdiagnosis of malignant musculoskeletal tumors may lead to the delay of intervention, resulting in amputation or death.
Comparison of deep learning-based emission-only attenuation correction methods for positron emission tomography.
European journal of nuclear medicine and molecular imaging
Dec 9, 2021
PURPOSE: This study aims to compare two approaches using only emission PET data and a convolution neural network (CNN) to correct the attenuation (μ) of the annihilation photons in PET.
Convolutional Neural Network With Graphical Lasso to Extract Sparse Topological Features for Brain Disease Classification.
IEEE/ACM transactions on computational biology and bioinformatics
Dec 8, 2021
The functional connectivity provides new insights into the mechanisms of the human brain at network-level, which has been proved to be an effective biomarker for brain disease classification. Recently, machine learning methods have played an importan...
Deep learning-based attenuation map generation and correction; could it be useful clinically?
Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
Dec 7, 2021
Deep Learning Reconstruction Enables Highly Accelerated Biparametric MR Imaging of the Prostate.
Journal of magnetic resonance imaging : JMRI
Dec 7, 2021
BACKGROUND: Early diagnosis and treatment of prostate cancer (PCa) can be curative; however, prostate-specific antigen is a suboptimal screening test for clinically significant PCa. While prostate magnetic resonance imaging (MRI) has demonstrated val...
DeepSPIO: Super Paramagnetic Iron Oxide Particle Quantification Using Deep Learning in Magnetic Resonance Imaging.
IEEE transactions on pattern analysis and machine intelligence
Dec 7, 2021
The susceptibility of super paramagnetic iron oxide (SPIO) particles makes them a useful contrast agent for different purposes in MRI. These particles are typically quantified with relaxometry or by measuring the inhomogeneities they produced. These ...
SpinSPJ: a novel NMR scripting system to implement artificial intelligence and advanced applications.
BMC bioinformatics
Dec 7, 2021
BACKGROUND: Software for nuclear magnetic resonance (NMR) spectrometers offer general functionality of instrument control and data processing; these applications are often developed with non-scripting languages. NMR users need to flexibly integrate r...
Evaluation of conventional and deep learning based image harmonization methods in radiomics studies.
Physics in medicine and biology
Dec 7, 2021
To evaluate the impact of image harmonization on outcome prediction models using radiomics.234 patients from the Brain Tumor Image Segmentation Benchmark (BRATS) dataset with T1 MRI were enrolled in this study. Images were harmonized to a reference i...
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