A flow quantification method using fluid dynamics regularization and MR tagging

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Author listJiraraksopakun Y., McDougall M.P., Wright S.M., Ji J.X.

PublisherInstitute of Electrical and Electronics Engineers

Publication year2010

JournalIEEE Transactions on Biomedical Engineering (0018-9294)

Volume number57

Issue number6

Start page1437

End page1445

Number of pages9

ISSN0018-9294

eISSN1558-2531

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-77952578079&doi=10.1109%2fTBME.2009.2038229&partnerID=40&md5=2dfa4ce6750f8d8227d44a5db68af7d0

LanguagesEnglish-Great Britain (EN-GB)


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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 NavierStokes 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. ฉ 2010 IEEE.


Keywords

MR flow quantificationMR tagging


Last updated on 2023-04-10 at 07:35