A flow quantification method using fluid dynamics regularization and MR tagging. Academic Article

abstract

• This paper presents a new method for improved flow analysis and quantification using MRI. The method incorporates fluid dynamics to regularize the flow quantification from tagged MR images. Specifically, the flow quantification is formulated as a minimization problem based on the following: 1) the Navier-Stokes equation governing the fluid dynamics; 2) the flow continuity equation and boundary conditions; and 3) the data consistency constraint. The minimization is carried out using a genetic algorithm. This method is tested using both computer simulations and MR flow experiments. The results are evaluated using flow vector fields from the computational fluid dynamics software package as a reference, which show that the new method can achieve more realistic and accurate flow quantifications than the conventional method.

authors

• Ji, Jim
• Mcdougall, Mary
• Wright, Steven

published proceedings

• IEEE Trans Biomed Eng

author list (cited authors)

• Jiraraksopakun, Y., McDougall, M. P., Wright, S. M., & Ji, J. X.

citation count

• 2

complete list of authors

• Jiraraksopakun, Yuttapong||McDougall, Mary P||Wright, Steven M||Ji, Jim X

publication date

• June 2010

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Transactions on Biomedical Engineering  Journal

keywords

• Algorithms
• Blood Flow Velocity
• Blood Vessels
• Computer Simulation
• Humans
• Image Interpretation, Computer-Assisted
• Magnetic Resonance Angiography
• Models, Cardiovascular
• Phantoms, Imaging
• Reproducibility Of Results
• Rheology
• Sensitivity And Specificity
• Spin Labels

Digital Object Identifier (DOI)

• 10.1109/TBME.2009.2038229

start page

• 1437

end page

• 1445

volume

• 57

issue

• 6

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Ftbme.2009.2038229