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Cited by 133

The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.

Reliable Estimation of Capillary Transit Time Distributions Using DSC-MRI

Mouridsen, Kim, Hansen, Mikkel Bo, Østergaard, Leif, Jespersen, Sune Nørhøj·2014·Journal of Cerebral Blood Flow & Metabolism

Abstract

The regional availability of oxygen in brain tissue is traditionally inferred from the magnitude of cerebral blood flow ( CBF) and the concentration of oxygen in arterial blood. Measurements of CBF are therefore widely used in the localization of neuronal response to stimulation and in the evaluation of patients suspected of acute ischemic stroke or flow-limiting carotid stenosis. It was recently demonstrated that capillary transit time heterogeneity ( CTH) limits maximum oxygen extraction fraction ( OEF max ) that can be achieved for a given CBF. Here we present a statistical approach for determining CTH, mean transit time ( MTT), and CBF using dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI). Using numerical simulations, we demonstrate that CTH, MTT, and OEF max can be estimated with low bias and variance across a wide range of microvascular flow patterns, even at modest signal-to-noise ratios. Mean transit time estimated by singular value decomposition (SVD) deconvolution, however, is confounded by CTH. The proposed technique readily identifies malperfused tissue in acute stroke patients and appears to highlight information not detected by the standard SVD technique. We speculate that this technique permits the non-invasive detection of tissue with impaired oxygen delivery in neurologic disorders such as acute ischemic stroke and Alzheimer's disease during routine diagnostic imaging.

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Research works printed but not linked: 3

  1. Lindstrom MJ, 1988, J Am Stat Assoc, 83, 1014
  2. 10.1002/mrm.1910360510 · DOI · Paper page
  3. Vogel J, 1997, Am J Physiol, 272, H1833

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Metadata

Authors
Mouridsen, K., Hansen, M. B., Østergaard, L., & Jespersen, S. N.
Affiliations
Center of Functionally Integrative Neuroscience and MINDLab, Institute of Clinical Medicine, Aarhus University, Aarhus, Denmark
Venue
Journal of Cerebral Blood Flow & Metabolism
Published
2014-06-18
Volume
34
Issue
9
Pages
1511-1521
ISSN
  • 0271-678X
  • 1559-7016
Cited by
133
References
39
Language
en
Licence
journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)

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