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Computational and Mathematical Methods in Medicine
Volume 2016, Article ID 2478324, 14 pages
http://dx.doi.org/10.1155/2016/2478324
Research Article

Perfusion Angiography in Acute Ischemic Stroke

Department of Neurology, University of California, Los Angeles, Los Angeles, CA 90024, USA

Received 7 December 2015; Revised 26 May 2016; Accepted 7 June 2016

Academic Editor: Dwarikanath Mahapatra

Copyright © 2016 Fabien Scalzo and David S. Liebeskind. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Visualization and quantification of blood flow are essential for the diagnosis and treatment evaluation of cerebrovascular diseases. For rapid imaging of the cerebrovasculature, digital subtraction angiography (DSA) remains the gold standard as it offers high spatial resolution. This paper lays out a methodological framework, named perfusion angiography, for the quantitative analysis and visualization of blood flow parameters from DSA images. The parameters, including cerebral blood flow (CBF) and cerebral blood volume (CBV), mean transit time (MTT), time-to-peak (TTP), and , are computed using a bolus tracking method based on the deconvolution of the time-density curve on a pixel-by-pixel basis. The method is tested on 66 acute ischemic stroke patients treated with thrombectomy and/or tissue plasminogen activator (tPA) and also evaluated on an estimation task with known ground truth. This novel imaging tool provides unique insights into flow mechanisms that cannot be observed directly in DSA sequences and might be used to evaluate the impact of endovascular interventions more precisely.