Literature DB >> 9676448

Vortical flow feature recognition: a topological study of in vivo flow patterns using MR velocity mapping.

G Z Yang1, R H Mohiaddin, P J Kilner, D N Firmin.   

Abstract

PURPOSE: To describe an automatic method for studying vortical flow features using multidirectional magnetic resonance velocity imaging.
METHODS: The technique relied on the use of linear differential equations to provide local approximation to the acquired MR velocity data and to identify vortical flow patterns that were characterised by their circular or swirling motion. Two directional MR velocity images were acquired on a 0.5 T system with a TE of 14 ms, slice thickness of 10 mm, and field of view of 30-40 cm.
RESULTS: The method was validated using numerical simulation, and the potential of this technique for studying blood flow features was demonstrated in the ascending aorta of a healthy volunteer and that of a patient with Marfan's syndrome. The difference in vortex flow dynamics of the left ventricle between a normal subject and a patient with dilated ventricle was also compared.
CONCLUSION: The approach of detecting critical flow features prior to analysing dynamical indices of the fluid is suited to the topological study of complex flow patterns depicted by MR velocity mapping techniques.

Entities:  

Mesh:

Year:  1998        PMID: 9676448     DOI: 10.1097/00004728-199807000-00013

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  6 in total

1.  Three dimensional flow in the human left atrium.

Authors:  A Fyrenius; L Wigström; T Ebbers; M Karlsson; J Engvall; A F Bolger
Journal:  Heart       Date:  2001-10       Impact factor: 5.994

2.  Fast measurement of intracardiac pressure differences with 2D breath-hold phase-contrast MRI.

Authors:  Richard B Thompson; Elliot R McVeigh
Journal:  Magn Reson Med       Date:  2003-06       Impact factor: 4.668

3.  Left Ventricular Vortex Under Mitral Valve Edge-to-Edge Repair.

Authors:  Yingying Hu; Liang Shi; Siva Parameswaran; Sergey Smirnov; Zhaoming He
Journal:  Cardiovasc Eng Technol       Date:  2010-12       Impact factor: 2.495

4.  Can echocardiographic particle image velocimetry correctly detect motion patterns as they occur in blood inside heart chambers? A validation study using moving phantoms.

Authors:  Christian Prinz; Reka Faludi; Andrew Walker; Mihaela Amzulescu; Hang Gao; Tokuhisa Uejima; Alan G Fraser; Jens-Uwe Voigt
Journal:  Cardiovasc Ultrasound       Date:  2012-06-06       Impact factor: 2.062

Review 5.  Computational medical imaging and hemodynamics framework for functional analysis and assessment of cardiovascular structures.

Authors:  Kelvin K L Wong; Defeng Wang; Jacky K L Ko; Jagannath Mazumdar; Thu-Thao Le; Dhanjoo Ghista
Journal:  Biomed Eng Online       Date:  2017-03-21       Impact factor: 2.819

6.  Physiological vortices in the sinuses of Valsalva: An in vitro approach for bio-prosthetic valves.

Authors:  Riccardo Toninato; Jacob Salmon; Francesca Maria Susin; Andrea Ducci; Gaetano Burriesci
Journal:  J Biomech       Date:  2016-06-01       Impact factor: 2.712

  6 in total

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