Author:
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
Abstract
Abstract
Background
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.
Methods
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.
Results
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.
Conclusion
The convolution function describes bolus dynamics reasonably well and could be used to implement the adaptive controller design.
Publisher
Springer Science and Business Media LLC
Subject
Radiology Nuclear Medicine and imaging,Biomedical Engineering,General Medicine,Biomaterials,Radiological and Ultrasound Technology
Cited by
9 articles.
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