A parametric model of the brain vascular system for estimation of the arterial input function (AIF) at the tissue level

Author:

Nejad-Davarani Siamak P.123ORCID,Bagher-Ebadian Hassan14,Ewing James R.34,Noll Douglas C.2,Mikkelsen Tom5,Chopp Michael34,Jiang Quan34

Affiliation:

1. Department of Radiation Oncology; Henry Ford Health System; Detroit Michigan USA

2. Department of Biomedical Engineering; University of Michigan; Ann Arbor Michigan USA

3. Department of Neurology; Henry Ford Health System; Detroit Michigan USA

4. Department of Physics; Oakland University; Rochester Michigan USA

5. Department of Neurosurgery; Henry Ford Hospital; Detroit Michigan USA

Funder

National Institutes of Health

Publisher

Wiley

Subject

Spectroscopy,Radiology, Nuclear Medicine and imaging,Molecular Medicine

Reference39 articles.

1. Chan AA Nelson SJ Simplified gamma-variate fitting of perfusion curves 2th IEEE international symposium on biomedical imaging (ISBI) 1067 1070

2. Whole-body physiologically based pharmacokinetic models;Nestorov;Exp Opin Drug Metab Toxicol,2007

3. One-dimensional modelling of a vascular network in space-time variables;Sherwin;J Eng Math,2003

4. On the potentialities of 3D-1D coupled models in hemodynamics simulations;Blanco;J Biomechanics,2009

5. A blood circulatory model to estimate the arterial input function in MR brain perfusion studies;Bagher-Ebadian;Proc Int Soc Magn Reson Med,2008

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