Bolus characteristics based on Magnetic Resonance Angiography

• Published in: Biomedical engineering online Vol. 5; no. 1; p. 53
• Main Authors: Cai, Zhijun, Stolpen, Alan, Sharafuddin, Melhem J, McCabe, Robert, Bai, Henri, Potts, Tom, Vannier, Michael, Li, Debiao, Bi, Xiaoming, Bennett, James, Golzarian, Jafar, Sun, Shiliang, Wang, Ge, Bai, Er-Wei
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 17-10-2006; BioMed Central; BMC
• Subjects: Computer Simulation; Contrast Media; Heart Valve Diseases - diagnosis; Humans; Image Interpretation, Computer-Assisted - methods; Magnetic Resonance Angiography - methods; Models, Cardiovascular; Retrospective Studies
• ISSN: 1475-925X; 1475-925X
• DOI: 10.1186/1475-925X-5-53

A detailed contrast bolus propagation model is essential for optimizing bolus-chasing Computed Tomography Angiography (CTA). Bolus characteristics were studied using bolus-timing datasets from Magnetic Resonance Angiography (MRA) for adaptive controller design and validation.
MRA bolus-timing datasets of the aorta in thirty patients were analyzed by a program developed with MATLAB. Bolus characteristics, such as peak position, dispersion and bolus velocity, were studied. The bolus profile was fit to a convolution function, which would serve as a mathematical model of bolus propagation in future controller design.
The maximum speed of the bolus in the aorta ranged from 5-13 cm/s and the dwell time ranged from 7-13 seconds. Bolus characteristics were well described by the proposed propagation model, which included the exact functional relationships between the parameters and aortic location.
The convolution function describes bolus dynamics reasonably well and could be used to implement the adaptive controller design.