Authors: Zhijun Cai, Robert McCabe, Ge Wang, Er-Wei Bai
Addresses: Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA, USA. ' Department of Electrical and Computer Engineering, University of Illinois, Urbana-Champaign, IL, USA. ' Biomedical Imaging Division, VT-WFU School of Biomedical Engineering and Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA. ' Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA, USA
Abstract: Tracking bolus peak position is a crucial issue for Computed Tomography Angiography(CTA). In this paper, a local maximum tracking method is proposed and tested using real patient data. The method uses a second order polynomial to approximate bolus density function locally. By estimating the local maximum density position at next sampling time, bolus peak trajectory is closely followed. Experiments with Magnetic Resonance Angiography (MRA) patient data show a significant performance improvement using the proposed tracking method over the conventional constant speed counterpart.
Keywords: bolus chasing CTA; computed tomography angiography; bolus peak trajectory; local adaptive control; magnetic resonance angiography; MRA patient data; local maximum tracking; peripheral arterial disease; heart disease.
International Journal of Modelling, Identification and Control, 2007 Vol.2 No.4, pp.305 - 312
Published online: 28 Dec 2007 *Full-text access for editors Access for subscribers Purchase this article Comment on this article