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Evaluation of a quantitative blood oxygenation level‐dependent (qBOLD) approach to map local blood oxygen saturation
Author(s) -
Christen Thomas,
Lemasson Benjamin,
Pannetier Nicolas,
Farion Régine,
Segebarth Christoph,
Rémy Chantal,
Barbier Emmanuel L.
Publication year - 2011
Publication title -
nmr in biomedicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.278
H-Index - 114
eISSN - 1099-1492
pISSN - 0952-3480
DOI - 10.1002/nbm.1603
Subject(s) - hyperoxia , oxygenation , blood oxygenation , saturation (graph theory) , blood volume , nuclear magnetic resonance , cerebral blood volume , limiting , oxygen , hypoxia (environmental) , oxygen saturation , nuclear medicine , chemistry , cardiology , medicine , mathematics , physics , hemodynamics , radiology , functional magnetic resonance imaging , mechanical engineering , organic chemistry , combinatorics , engineering
Blood oxygen saturation ( S O 2 ) is a promising parameter for the assessment of brain tissue viability in numerous pathologies. Quantitative blood oxygenation level‐dependent (qBOLD)‐like approaches allow the estimation of S O 2 by modelling the contribution of deoxyhaemoglobin to the MR signal decay. These methods require a high signal‐to‐noise ratio to obtain accurate maps through fitting procedures. In this article, we present a version of the qBOLD method at long TE taking into account separate estimates of T 2 , total blood volume fraction (BV f ) and magnetic field inhomogeneities. Our approach was applied to the brains of 13 healthy rats under normoxia, hyperoxia and hypoxia. MR estimates of local S O 2 (MR_L S O 2 ) were compared with measurements obtained from blood gas analysis. A very good correlation ( R 2 = 0.89) was found between brain MR_L S O 2 and sagittal sinus S O 2 . Copyright © 2010 John Wiley & Sons, Ltd.