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Quantitative spectroscopic imaging with in situ measurements of tissue water T1, T2, and density.
Gasparovic, C; Neeb, H; Feis, D L; Damaraju, E; Chen, H; Doty, M J; South, D M; Mullins, P G; Bockholt, H J; Shah, N J.
Affiliation
  • Gasparovic C; Department of Neurology, University of New Mexico, Albuquerque, New Mexico 87131, USA. chuck@unm.edu
Magn Reson Med ; 62(3): 583-90, 2009 Sep.
Article in En | MEDLINE | ID: mdl-19526491
ABSTRACT
The use of tissue water as a concentration standard in proton magnetic resonance spectroscopy ((1)H-MRS) of the brain requires that the water proton signal be adjusted for relaxation and partial volume effects. While single voxel (1)H-MRS studies have often included measurements of water proton T(1), T(2), and density based on additional (1)H-MRS acquisitions (e.g., at multiple echo or repetition times), this approach is not practical for (1)H-MRS imaging ((1)H-MRSI). In this report we demonstrate a method for using in situ measurements of water T(1), T(2), and density to calculate metabolite concentrations from (1)H-MRSI data. The relaxation and density data are coregistered with the (1)H-MRSI data and provide detailed information on the water signal appropriate to the individual subject and tissue region. We present data from both healthy subjects and a subject with brain lesions, underscoring the importance of water parameter measurements on a subject-by-subject and voxel-by-voxel basis.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Body Water / Algorithms / Brain Chemistry / Water / Magnetic Resonance Spectroscopy Limits: Female / Humans / Male Language: En Journal: Magn Reson Med Journal subject: DIAGNOSTICO POR IMAGEM Year: 2009 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Body Water / Algorithms / Brain Chemistry / Water / Magnetic Resonance Spectroscopy Limits: Female / Humans / Male Language: En Journal: Magn Reson Med Journal subject: DIAGNOSTICO POR IMAGEM Year: 2009 Type: Article Affiliation country: United States