Research Article

Evaluation of a quantitative blood oxygenation level-dependent (qBOLD) approach to map local blood oxygen saturation

  1. Thomas Christen1,2,*,
  2. Benjamin Lemasson1,2,3,
  3. Nicolas Pannetier1,2,
  4. Régine Farion1,2,
  5. Christoph Segebarth1,2,
  6. Chantal Rémy1,2,
  7. Emmanuel L. Barbier1,2

Article first published online: 19 OCT 2010

DOI: 10.1002/nbm.1603

Issue

NMR in Biomedicine

NMR in Biomedicine

Volume 24, Issue 4, pages 393–403, May 2011

Additional Information

How to Cite

Christen, T., Lemasson, B., Pannetier, N., Farion, R., Segebarth, C., Rémy, C. and Barbier, E. L. (2011), Evaluation of a quantitative blood oxygenation level-dependent (qBOLD) approach to map local blood oxygen saturation. NMR Biomed., 24: 393–403. doi: 10.1002/nbm.1603

Author Information

  1. 1

    INSERM, Grenoble, France

  2. 2

    Université Joseph Fourier, Grenoble Institut des Neurosciences, Grenoble, France

  3. 3

    Oncodesign Biotechnology, Dijon, France

*Grenoble Institut des Neurosciences (GIN) – INSERM U836/Equipe 5, Neuroimagerie Fonctionnelle et Métabolique, Université Joseph Fourier – Site Santé de la Tronche, Domaine de la Merci, 38042 La Tronche Cedex, France.

Publication History

  1. Issue published online: 17 APR 2011
  2. Article first published online: 19 OCT 2010
  3. Manuscript Accepted: 15 JUL 2010
  4. Manuscript Revised: 11 JUN 2010
  5. Manuscript Received: 3 MAR 2010

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Keywords:

  • blood oxygen level dependent (BOLD);
  • blood oxygen saturation (SO2);
  • cerebral blood volume;
  • MRI

Abstract

Blood oxygen saturation (SO2) 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 SO2 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 T2, total blood volume fraction (BVf) and magnetic field inhomogeneities. Our approach was applied to the brains of 13 healthy rats under normoxia, hyperoxia and hypoxia. MR estimates of local SO2 (MR_LSO2) were compared with measurements obtained from blood gas analysis. A very good correlation (R2 = 0.89) was found between brain MR_LSO2 and sagittal sinus SO2. Copyright © 2010 John Wiley & Sons, Ltd.

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