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Gleaning multicomponent T1 and T2 information from steady-state imaging data. | LitMetric

Gleaning multicomponent T1 and T2 information from steady-state imaging data.

Magn Reson Med

Centre for Neuroimaging Research, Institute of Psychiatry, King's College London, London UK.

Published: December 2008

AI Article Synopsis

  • The study introduces mcDESPOT, an advanced technique for measuring T(1) and T(2) relaxation times in the brain, enhancing traditional methods by allowing for multicomponent analysis.
  • This new approach addresses the limitation of earlier methods, which assumed a single-component relaxation and struggled with the complexities found in biological tissues like human white and gray matter.
  • The results from testing mcDESPOT on healthy individuals and MS patients suggest its potential for evaluating tissue changes related to neurodegenerative diseases within clinically feasible timeframes of 16 to 30 minutes.

Article Abstract

The driven-equilibrium single-pulse observation of T(1) (DESPOT1) and T(2) (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 T(1)/T(2) (mcDESPOT), whole-brain multicomponent T(1) and T(2) 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.

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Source
http://dx.doi.org/10.1002/mrm.21704DOI Listing

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