Bolus characteristics based on Magnetic Resonance Angiography
Zhijun Cai1, Alan Stolpen, Melhem J Sharafuddin
1Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA, USA. zhijun-cai@uiowa.edu
Biomedical Engineering Online
|October 19, 2006
Summary
A new model accurately describes contrast bolus propagation in the aorta, crucial for optimizing Computed Tomography Angiography (CTA) and developing adaptive controllers for medical imaging.
Area of Science:
- Medical Imaging
- Biomedical Engineering
- Fluid Dynamics
Background:
- Optimizing bolus-chasing Computed Tomography Angiography (CTA) requires a detailed contrast bolus propagation model.
- Magnetic Resonance Angiography (MRA) bolus-timing datasets were utilized to study bolus characteristics for adaptive controller design.
Purpose of the Study:
- To develop and validate a mathematical model for contrast bolus propagation in the aorta.
- To analyze bolus characteristics including peak position, dispersion, and velocity for CTA optimization.
Main Methods:
- Analysis of MRA bolus-timing datasets from 30 patients using MATLAB.
- Fitting the bolus profile to a convolution function to create a mathematical model.
- Studying bolus velocity, peak position, and dispersion within the aorta.
Main Results:
- Contrast bolus speed in the aorta ranged from 5-13 cm/s, with dwell times of 7-13 seconds.
- The proposed propagation model effectively described bolus characteristics.
- Functional relationships between parameters and aortic location were established.
Conclusions:
- A convolution function provides a reasonable model for bolus dynamics.
- This model can be used for the implementation of adaptive controller design in CTA.
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