Bolus characteristics based on Magnetic Resonance Angiography

• Main Authors: Bi Xiaoming, Li Debiao, Vannier Michael, Potts Tom, Bai Henri, McCabe Robert, Sharafuddin Melhem J, Stolpen Alan, Cai Zhijun, Bennett James, Golzarian Jafar, Sun Shiliang, Wang Ge, Bai Er-Wei
• Format: Article
• Language: English
• Published: BMC 2006-10-01
• Series: BioMedical Engineering OnLine
• Online Access: http://www.biomedical-engineering-online.com/content/5/1/53

<p>Abstract</p> <p>Background</p> <p>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.</p> <p>Methods</p> <p>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.</p> <p>Results</p> <p>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.</p> <p>Conclusion</p> <p>The convolution function describes bolus dynamics reasonably well and could be used to implement the adaptive controller design.</p>