Adaptive bolus-chasing computed tomography angiography in the cases of symmetric and asymmetric arterial flows in peripheral arteries

Zhijun Cai; Ge Wang; Er-Wei Bai

doi:10.1016/j.bspc.2009.01.008

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Adaptive bolus-chasing computed tomography angiography in the cases of symmetric and asymmetric arterial flows in peripheral arteries

Journal article

Peer reviewed

Adaptive bolus-chasing computed tomography angiography in the cases of symmetric and asymmetric arterial flows in peripheral arteries

Zhijun Cai, Ge Wang and Er-Wei Bai

Biomedical signal processing and control, Vol.4(4), pp.302-308

2009

DOI: 10.1016/j.bspc.2009.01.008

PMCID: PMC2858228

PMID: 20419058

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Abstract

Synchronization of the contrast bolus peak and CT imaging aperture is a crucial issue for computed tomography angiography (CTA). It affects the CTA image quality and the amount of contrast dose. A whole-body CTA procedure means to scan from the abdominal aorta to pedal arteries. In this context, the synchronization is much more difficult with the asymmetric arterial flow in lower extremities than in the case of symmetric arterial flow. In this paper, we propose an adaptive optimal controller to chase the contrast bolus peak while it propagates in the aorta and lower extremities with symmetric flow. In the case of asymmetric flow after the contrast bolus splitting into two lower limbs, we propose a dynamic programming approach to cover the lower limbs optimally. Simulation and experimental results show that the proposed methods outperform the current constant-speed method substantially.

Peripheral arteries

Computed tomography angiography (CTA)

Medical imaging systems

Dynamic programming

Asymmetric flow

Adaptive optimal control

Details

Title: Subtitle: Adaptive bolus-chasing computed tomography angiography in the cases of symmetric and asymmetric arterial flows in peripheral arteries
Creators: Zhijun Cai - Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242, United States
Ge Wang - VT-WFU School of Biomedical Engineering & Sciences, Virginia Polytechnic Institute & State University, Blacksburg, VA 24061, USA
Er-Wei Bai - Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242, United States
Resource Type: Journal article
Publication Details: Biomedical signal processing and control, Vol.4(4), pp.302-308
DOI: 10.1016/j.bspc.2009.01.008
PMID: 20419058
PMCID: PMC2858228
NLM abbreviation: Biomed Signal Process Control
ISSN: 1746-8094
eISSN: 1746-8108
Publisher: Elsevier BV
Language: English
Date published: 2009
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984083244702771

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