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Journal of Medical Imaging

Fast nonlinear regression method for CT brain perfusion analysis
Author(s): Edwin Bennink; Jaap Oosterbroek; Kohsuke Kudo; Max A. Viergever; Birgitta K. Velthuis; Hugo W. A. M. de Jong
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Paper Abstract

Although computed tomography (CT) perfusion (CTP) imaging enables rapid diagnosis and prognosis of ischemic stroke, current CTP analysis methods have several shortcomings. We propose a fast nonlinear regression method with a box-shaped model (boxNLR) that has important advantages over the current state-of-the-art method, block-circulant singular value decomposition (bSVD). These advantages include improved robustness to attenuation curve truncation, extensibility, and unified estimation of perfusion parameters. The method is compared with bSVD and with a commercial SVD-based method. The three methods were quantitatively evaluated by means of a digital perfusion phantom, described by Kudo et al. and qualitatively with the aid of 50 clinical CTP scans. All three methods yielded high Pearson correlation coefficients (<0.9) with the ground truth in the phantom. The boxNLR perfusion maps of the clinical scans showed higher correlation with bSVD than the perfusion maps from the commercial method. Furthermore, it was shown that boxNLR estimates are robust to noise, truncation, and tracer delay. The proposed method provides a fast and reliable way of estimating perfusion parameters from CTP scans. This suggests it could be a viable alternative to current commercial and academic methods.

Paper Details

Date Published: 16 June 2016
PDF: 11 pages
J. Med. Img. 3(2) 026003 doi: 10.1117/1.JMI.3.2.026003
Published in: Journal of Medical Imaging Volume 3, Issue 2
Show Author Affiliations
Edwin Bennink, Univ. Medical Ctr. Utrecht (Netherlands)
Jaap Oosterbroek, Univ. Medical Ctr. Utrecht (Netherlands)
Kohsuke Kudo, Hokkaido Univ. Hospital (Japan)
Max A. Viergever, Univ. Medical Ctr. Utrecht (Netherlands)
Birgitta K. Velthuis, Univ. Medical Ctr. Utrecht (The Netherlands)
Hugo W. A. M. de Jong, Univ. Medical Ctr. Utrecht (Netherlands)


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