z-logo
Premium
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.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom