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Published online before print March 27, 2003, 10.1148/radiol.2272020092
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(Radiology 2003;227:593-600.)
© RSNA, 2003

Technical Developments

Automatic Calculation of the Arterial Input Function for Cerebral Perfusion Imaging with MR Imaging1

Timothy J. Carroll, PhD, Howard A. Rowley, MD and Victor M. Haughton, MD

1 From the Departments of Medical Physics (T.J.C.) and Radiology (H.A.R., V.M.H.), University of Wisconsin, Madison. Received February 21, 2002; revision requested May 7; final revision received September 13; accepted September 23. Supported by National Institutes of Health grant R01-HL66488-01 A1. Address correspondence to T.J.C., Northwestern University, Departments of Biomedical Engineering and Radiology, 448 E Ontario St, Suite 700, Chicago, IL 60611 (e-mail: t-carroll@northwestern.edu).

An automated method for determination of arterial input function (AIF) for rapid determination of cerebral perfusion with dynamic susceptibility contrast magnetic resonance (MR) imaging was derived. In 100 patients, the automated method was used to create images of relative blood flow, relative cerebral blood volume, and mean transit time. In 20 patients, the voxel chosen with the automated AIF correlated with a large cerebral artery and exhibited less partial-volume averaging when compared with an AIF chosen manually. It is possible to reliably determine the AIF at dynamic susceptibility contrast MR imaging and eliminate the need for operator input and lengthy postprocessing.

© RSNA, 2003

Index terms: Brain, infarction, 10.4352 • Cerebral blood vessels, flow dynamics, 17.76 • Magnetic resonance (MR), contrast enhancement, 10.12143 • Magnetic resonance (MR), diffusion study, 10.12144 • Magnetic resonance, vascular studies, 10.12144




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