Pfizer COVID-19 vaccine appointments are available to our patients. Sign up for Connect today to schedule your vaccination. Continue your routine care with us by scheduling an in-person appointment or Video Visit.

Bayesian algorithm using spatial priors for multiexponential T₂ relaxometry from multiecho spin echo MRI.

TitleBayesian algorithm using spatial priors for multiexponential T₂ relaxometry from multiecho spin echo MRI.
Publication TypeJournal Article
Year of Publication2012
AuthorsKumar D, Nguyen TD, Gauthier SA, Raj A
JournalMagn Reson Med
Volume68
Issue5
Pagination1536-43
Date Published2012 Nov
ISSN1522-2594
KeywordsAdult, Algorithms, Bayes Theorem, Brain, Brain Mapping, Diffusion Tensor Imaging, Echo-Planar Imaging, Female, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Imaging, Three-Dimensional, Male, Nerve Fibers, Myelinated, Pattern Recognition, Automated, Reproducibility of Results, Sensitivity and Specificity, Spin Labels
Abstract

Multiexponential T₂ relaxometry is a powerful research tool for detecting brain structural changes due to demyelinating diseases such as multiple sclerosis. However, because of unusually high signal-to-noise ratio requirement compared with other MR modalities and ill-posedness of the underlying inverse problem, the T₂ distributions obtained with conventional approaches are frequently prone to noise effects. In this article, a novel multivoxel Bayesian algorithm using spatial prior information is proposed. This prior takes into account the expectation that volume fractions and T₂ relaxation times of tissue compartments change smoothly within coherent brain regions. Three-dimensional multiecho spin echo MRI data were collected from five healthy volunteers at 1.5 T and myelin water fraction maps were obtained using the conventional and proposed algorithms. Compared with the conventional method, the proposed method provides myelin water fraction maps with improved depiction of brain structures and significantly lower coefficients of variance in white matter.

DOI10.1002/mrm.24170
Alternate JournalMagn Reson Med
PubMed ID22266707
Grant ListP41 RR023953 / RR / NCRR NIH HHS / United States

Weill Cornell Medicine Neurology 525 E. 68th St.
PO Box 117
New York, NY 10065 Phone: (212) 746-6575