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Gleaning multicomponent T1 and T2 information from steady-state imaging data
Magnetic resonance in medicine, 2008-12, Vol.60 (6), p.1372-1387
Deoni, Sean C.L.
Rutt, Brian K.
Arun, Tarunya
Pierpaoli, Carlo
Jones, Derek K.
2008
Details
Autor(en) / Beteiligte
Deoni, Sean C.L.
Rutt, Brian K.
Arun, Tarunya
Pierpaoli, Carlo
Jones, Derek K.
Titel
Gleaning multicomponent T1 and T2 information from steady-state imaging data
Ist Teil von
Magnetic resonance in medicine, 2008-12, Vol.60 (6), p.1372-1387
Ort / Verlag
Hoboken: Wiley Subscription Services, Inc., A Wiley Company
Erscheinungsjahr
2008
Link zum Volltext
Quelle
Wiley Online Library Journals Frontfile Complete
Beschreibungen/Notizen
The driven‐equilibrium single‐pulse observation of T1 (DESPOT1) and T2 (DESPOT2) are rapid, accurate, and precise methods for voxelwise determination of the longitudinal and transverse relaxation times. A limitation of the methods, however, is the inherent assumption of single‐component relaxation. In a variety of biological tissues, in particular human white matter (WM) and gray matter (GM), the relaxation has been shown to be more completely characterized by a summation of two or more relaxation components, or species, each believed to be associated with unique microanatomical domains or water pools. Unfortunately, characterization of these components on a voxelwise, whole‐brain basis has traditionally been hindered by impractical acquisition times. In this work we extend the conventional DESPOT1 and DESPOT2 approaches to include multicomponent relaxation analysis. Following numerical analysis of the new technique, renamed multicomponent driven equilibrium single pulse observation of T1/T2 (mcDESPOT), whole‐brain multicomponent T1 and T2 quantification is demonstrated in vivo with clinically realistic times of between 16 and 30 min. Results obtained from four healthy individuals and two primary progressive multiple sclerosis (MS) patients demonstrate the future potential of the approach for identifying and assessing tissue changes associated with several neurodegenerative conditions, in particular those associated with WM. Magn Reson Med 60:1372–1387, 2008. © 2008 Wiley‐Liss, Inc.
Sprache
Englisch
Identifikatoren
ISSN: 0740-3194
eISSN: 1522-2594
DOI: 10.1002/mrm.21704
Titel-ID: cdi_proquest_miscellaneous_69851446
Format
–
Schlagworte
Adult
,
Algorithms
,
Artificial Intelligence
,
Brain - pathology
,
Female
,
human brain imaging
,
Humans
,
Image Enhancement - methods
,
Image Interpretation, Computer-Assisted - methods
,
Magnetic Resonance Imaging - methods
,
Male
,
multicomponent relaxation
,
Neurodegenerative Diseases - pathology
,
Pattern Recognition, Automated - methods
,
quantitative magnetic resonance imaging
,
Reproducibility of Results
,
Sensitivity and Specificity
,
steady-state imaging
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