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Cited by 472

The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.

Gleaning multicomponent T1 and T2 information from steady‐state imaging data

Deoni, Sean C.L., Rutt, Brian K., Arun, Tarunya, Pierpaoli, Carlo, Jones, Derek K.·2008·Magnetic Resonance in Medicine
DOI 10.1002/mrm.21704
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Abstract

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.

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Metadata

Authors
Deoni, S. C. L., Rutt, B. K., Arun, T., Pierpaoli, C., & Jones, D. K.
Venue
Magnetic Resonance in Medicine
Publisher
Wiley
Published
2008-11-24
Volume
60
Issue
6
Pages
1372-1387
ISSN
  • 0740-3194 (ISSN-L)
  • 1522-2594
DOI
10.1002/mrm.21704
OpenAlex
W2117245594
Cited by
472
References
48
FWCI
7.88
Type
journal article
Language
en
Open access
closed

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