Literature DB >> 34528164

Optimization of 4D flow MRI velocity field in the aorta with divergence-free smoothing.

Qi Gao1, Xingli Liu2, Hongping Wang3, Peng Wu4, Mansu Jin2, RunJie Wei2, Wei Wang5, Zhaozhuo Niu6, Shihua Zhao7, Fei Li8,9.   

Abstract

Divergence-free smoothing with wall treatment (DFSwt) method is proposed for processing with four-dimensional (4D) flow magnetic resonance imaging (MRI) data of blood flows to enhance the quality of flow field with physical constraints. The new method satisfies the no-slip wall boundary condition and applies wall function of velocity profile for better estimating the velocity gradient in the near-wall region, and consequently improved wall shear stress (WSS) calculation against the issue of coarse resolution of 4D flow MRI. In the first testing case, blood flow field obtained from 4D flow MRI is well smoothed by DFSwt method. A great consistency is observed between the post-processed 4D flow MRI data and the computational fluid dynamics (CFD) data in the interested velocity field. WSS has an apparent improvement due to the proposed near-wall treatment with special wall function comparing to the result from original 4D flow MRI data or the DFS-processed data with no wall function. The other five cases also show the same performance that smoothed velocity field and improved WSS estimation are achieved on 4D flow MRI data optimized by DFSwt. The improvements will benefit the study of hemodynamics regarding the determination of location or the potential possibility of lesions.
© 2021. International Federation for Medical and Biological Engineering.

Entities:  

Keywords:  4D flow MRI; Computational fluid dynamics; Divergence-free smoothing; Wall shear stress

Mesh:

Year:  2021        PMID: 34528164     DOI: 10.1007/s11517-021-02417-8

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  5 in total

Review 1.  4D flow MRI.

Authors:  Michael Markl; Alex Frydrychowicz; Sebastian Kozerke; Mike Hope; Oliver Wieben
Journal:  J Magn Reson Imaging       Date:  2012-11       Impact factor: 4.813

Review 2.  The Role of Imaging of Flow Patterns by 4D Flow MRI in Aortic Stenosis.

Authors:  Julio Garcia; Alex J Barker; Michael Markl
Journal:  JACC Cardiovasc Imaging       Date:  2019-02

3.  4D flow MRI, cardiac function, and T1 -mapping: Association of valve-mediated changes in aortic hemodynamics with left ventricular remodeling.

Authors:  Julia Geiger; Amir A Rahsepar; Kenichiro Suwa; Alex Powell; Ahmadreza Ghasemiesfe; Alex J Barker; Jeremy D Collins; James C Carr; Michael Markl
Journal:  J Magn Reson Imaging       Date:  2017-12-05       Impact factor: 4.813

4.  Contributing Factor of Proximal Arch Dilation in Patients with Bicuspid Aortic Valve-Wall Shear Stress or Upward Extension of Ascending Aorta Dilation?

Authors:  Fei Li; Qi Gao; En Qiao; Gang Yin; Ru-Jiao Zhang; Shi-Hua Zhao; Wei Wang
Journal:  Heart Surg Forum       Date:  2020-06-17       Impact factor: 0.676

5.  Aortic flow patterns and wall shear stress maps by 4D-flow cardiovascular magnetic resonance in the assessment of aortic dilatation in bicuspid aortic valve disease.

Authors:  José Fernando Rodríguez-Palomares; Lydia Dux-Santoy; Andrea Guala; Raquel Kale; Giuliana Maldonado; Gisela Teixidó-Turà; Laura Galian; Marina Huguet; Filipa Valente; Laura Gutiérrez; Teresa González-Alujas; Kevin M Johnson; Oliver Wieben; David García-Dorado; Arturo Evangelista
Journal:  J Cardiovasc Magn Reson       Date:  2018-04-26       Impact factor: 5.364

  5 in total
  1 in total

1.  Impact of extra-anatomical bypass on coarctation fluid dynamics using patient-specific lumped parameter and Lattice Boltzmann modeling.

Authors:  Reza Sadeghi; Benjamin Tomka; Seyedvahid Khodaei; MohammadAli Daeian; Krishna Gandhi; Julio Garcia; Zahra Keshavarz-Motamed
Journal:  Sci Rep       Date:  2022-06-11       Impact factor: 4.996

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.