Deep learning‐based convolutional neural network for intramodality brain MRI synthesis
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Applied Clinical Medical Physics"
DOI: 10.1002/acm2.13530
Abstract: Abstract Purpose The existence of multicontrast magnetic resonance (MR) images increases the level of clinical information available for the diagnosis and treatment of brain cancer patients. However, acquiring the complete set of multicontrast MR images… read more here.
Keywords: neural network; brain mri; brain; convolutional neural ... See more keywords
Data‐driven motion‐corrected brain MRI incorporating pose‐dependent B0 fields
Sign Up to like & getrecommendations! Published in 2022 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29255
Abstract: To develop a fully data‐driven retrospective intrascan motion‐correction framework for volumetric brain MRI at ultrahigh field (7 Tesla) that includes modeling of pose‐dependent changes in polarizing magnetic (B0) fields. read more here.
Keywords: brain mri; pose dependent; data driven; motion ... See more keywords
Brain MRI findings in newborns with congenital cytomegalovirus infection: results from a large cohort study
Sign Up to like & getrecommendations! Published in 2021 at "European Radiology"
DOI: 10.1007/s00330-021-07776-2
Abstract: To investigate the spectrum and frequency of abnormalities on brain MRI in a large cohort of live newborns with congenital CMV (cCMV) infection. Institutional review board approval and informed consent for neonatal MRI and data… read more here.
Keywords: brain mri; infection; newborns congenital; brain ... See more keywords
Glioma survival prediction from whole-brain MRI without tumor segmentation using deep attention network: a multicenter study
Sign Up to like & getrecommendations! Published in 2022 at "European Radiology"
DOI: 10.1007/s00330-022-08640-7
Abstract: To develop and validate a deep learning model for predicting overall survival from whole-brain MRI without tumor segmentation in patients with diffuse gliomas. In this multicenter retrospective study, two deep learning models were built for… read more here.
Keywords: tumor; brain mri; tumor segmentation; whole brain ... See more keywords
Acute disseminated encephalomyelitis: prognostic value of early follow-up brain MRI
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Neurology"
DOI: 10.1007/s00415-017-8563-3
Abstract: Patients with acute disseminated encephalomyelitis (ADEM) are presumed to have radiological monophasic disease, but this is uncertain since follow-up brain MRI is not routinely performed. We aimed to ascertain combined radiological and clinical monophasic disease… read more here.
Keywords: brain mri; early follow; disease; follow brain ... See more keywords
Clinical feasibility of 1-min ultrafast brain MRI compared with routine brain MRI using synthetic MRI: a single center pilot study
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Neurology"
DOI: 10.1007/s00415-018-9149-4
Abstract: BackgroundUltrafast brain MRI is required for uncooperative patients and time-critical diseases such as stroke because it reduces scan times and motion artifacts. This study investigated the clinical feasibility of a 1-min ultrafast brain MRI protocol… read more here.
Keywords: mri protocol; brain mri; image; mri ... See more keywords
Successful treatment of HIV-associated tumefactive demyelinating lesions with corticosteroids and cyclophosphamide: a case report
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Neurology"
DOI: 10.1007/s00415-020-10296-6
Abstract: A 43-year-old, previously healthy man presented to the emergency department due to subacute onset, in the previous month, of behavioral changes and speech impairment. Head CT scan revealed two large subcortical hypodense lesions in both… read more here.
Keywords: brain mri; demyelinating lesions; hiv; tumefactive demyelinating ... See more keywords
Classification of normal and abnormal brain MRI slices using Gabor texture and support vector machines
Sign Up to like & getrecommendations! Published in 2018 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-017-1182-8
Abstract: In computational and clinical environments, autoclassification of brain magnetic resonance image (MRI) slices as normal and abnormal is challenging. The purpose of this study is to investigate the computer vision and machine learning methods for… read more here.
Keywords: brain mri; using gabor; mri slices; normal abnormal ... See more keywords
Yield of Brain MRI in Clinically Diagnosed Epilepsy in the Kingdom of Bhutan: A Prospective Study.
Sign Up to like & getrecommendations! Published in 2017 at "Annals of global health"
DOI: 10.1016/j.aogh.2017.02.001
Abstract: BACKGROUND People with epilepsy (PWE) in low- and middle-income countries may not access the health resources that are considered optimal for epilepsy diagnosis. The diagnostic yield of magnetic resonance imaging (MRI) has not been well… read more here.
Keywords: epilepsy; brain mri; yield brain; mri ... See more keywords
SegSRGAN: Super-resolution and segmentation using generative adversarial networks - Application to neonatal brain MRI
Sign Up to like & getrecommendations! Published in 2020 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2020.103755
Abstract: BACKGROUND AND OBJECTIVE One of the main issues in the analysis of clinical neonatal brain MRI is the low anisotropic resolution of the data. In most MRI analysis pipelines, data are first re-sampled using interpolation… read more here.
Keywords: resolution; super resolution; mri; brain mri ... See more keywords
Spatial normalization of multiple sclerosis brain MRI data depends on analysis method and software package.
Sign Up to like & getrecommendations! Published in 2020 at "Magnetic resonance imaging"
DOI: 10.1016/j.mri.2020.01.016
Abstract: BACKGROUND Spatially normalizing brain MRI data to a template is commonly performed to facilitate comparisons between individuals or groups. However, the presence of multiple sclerosis (MS) lesions and other MS-related brain pathologies may compromise the… read more here.
Keywords: brain mri; spatial normalization; normalization; brain ... See more keywords