A Slice‐Low‐Rank Plus Sparse (slice‐L + S) Reconstruction Method for k‐t Undersampled Multiband First‐Pass Myocardial Perfusion MRI
Sign Up to like & getrecommendations! Published in 2022 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29281
Abstract: The synergistic use of k‐t undersampling and multiband (MB) imaging has the potential to provide extended slice coverage and high spatial resolution for first‐pass perfusion MRI. The low‐rank plus sparse (L + S) model has shown excellent… read more here.
Keywords: rank plus; low rank; first pass; slice ... See more keywords
S56. Comparing brain structural and perfusion MRI changes across ALS-FTD continuum
Sign Up to like & getrecommendations! Published in 2018 at "Clinical Neurophysiology"
DOI: 10.1016/j.clinph.2018.04.416
Abstract: Introduction Clinical, genetic, and pathological findings suggest a close relationship between amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). This study is aim to compare brain structural and perfusion MRI changes across the spectrum between… read more here.
Keywords: als ftd; perfusion mri; brain; structural perfusion ... See more keywords
Denoising arterial spin labeling perfusion MRI with deep machine learning.
Sign Up to like & getrecommendations! Published in 2020 at "Magnetic resonance imaging"
DOI: 10.1016/j.mri.2020.01.005
Abstract: PURPOSE Arterial spin labeling (ASL) perfusion MRI is a noninvasive technique for measuring cerebral blood flow (CBF) in a quantitative manner. A technical challenge in ASL MRI is data processing because of the inherently low… read more here.
Keywords: asl mri; machine learning; arterial spin; spin labeling ... See more keywords
Prediction of Radiation Therapy Effects in Esophageal Cancer Using Diffusion and Perfusion MRI.
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DOI: 10.1111/cas.15156
Abstract: Chemoradiation therapy (CRT) of locally advanced esophageal cancer (LAEC), although improving outcomes of patients, still results in 50% of local failure. An early prediction could identify the patients at high-risk of poor response for individualized… read more here.
Keywords: esophageal cancer; cancer; using diffusion; perfusion mri ... See more keywords
Combined structural and perfusion MRI enhanced by machine learning may outperform standalone modalities and radiological expertise in high-grade glioma surveillance: A proof-of-concept study.
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Clinical Oncology"
DOI: 10.1200/jco.2020.38.15_suppl.e14528
Abstract: e14528Background: Treatment monitoring in patients with High-Grade Glioma (HGG) and identification of disease progression, remains a major challenge in clinical neurooncology. We aimed to develop a... read more here.
Keywords: structural perfusion; grade glioma; high grade; perfusion mri ... See more keywords
What Have We Learned from Perfusion MRI in Multiple Sclerosis?
Sign Up to like & getrecommendations! Published in 2018 at "American Journal of Neuroradiology"
DOI: 10.3174/ajnr.a5504
Abstract: SUMMARY: Using MR imaging, perfusion can be assessed either by dynamic susceptibility contrast MR imaging or arterial spin-labeling. Alterations of cerebral perfusion have repeatedly been described in multiple sclerosis compared with healthy controls. Acute lesions… read more here.
Keywords: mri multiple; learned perfusion; perfusion; multiple sclerosis ... See more keywords