Literature DB >> 19142728

In vivo quantification of helical blood flow in human aorta by time-resolved three-dimensional cine phase contrast magnetic resonance imaging.

Umberto Morbiducci1, Raffaele Ponzini, Giovanna Rizzo, Marcello Cadioli, Antonio Esposito, Francesco De Cobelli, Alessandro Del Maschio, Franco Maria Montevecchi, Alberto Redaelli.   

Abstract

The mechanics of blood flow in arteries plays a key role in the health of individuals. In this framework, the role played by the presence of helical flow in the human aorta is still not clear in its relation to physiology and pathology. We report here a method for quantifying helical flow in vivo employing time-resolved cine phase contrast magnetic resonance imaging to obtain the complete spatio-temporal description of the three-dimensional pulsatile blood flow patterns in aorta. The method is applied to data of one healthy volunteer. Particle traces were calculated from velocity data: to them we applied a Lagrangian-based method for helical flow quantification, the Helical Flow Index, which has been developed and evaluated in silico in order to reveal global organization of blood flow. Our results: (i) put in evidence that the systolic hemodynamics in aorta is characterized by an evolving helical flow (we quantified a 24% difference in terms of the content of helicity in the streaming blood, between mid and early systole); (ii) indicate that in the first part of the systole helicity is ascrivable mainly to the asymmetry of blood flow in the left ventricle, joined with the laterality of the aorta. In conclusion, this study shows that the quantification of helical blood flow in vivo is feasible, and it might allow detection of anomalies in the expected physiological development of helical flow in aorta and accordingly, could be used in a diagnostic/prognostic index for clinical practice.

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Year:  2008        PMID: 19142728     DOI: 10.1007/s10439-008-9609-6

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  35 in total

1.  Synthetic dataset generation for the analysis and the evaluation of image-based hemodynamics of the human aorta.

Authors:  Umberto Morbiducci; Raffaele Ponzini; Giovanna Rizzo; Marco Evanghelos Biancolini; Francesco Iannaccone; Diego Gallo; Alberto Redaelli
Journal:  Med Biol Eng Comput       Date:  2011-12-23       Impact factor: 2.602

2.  Interdependencies of aortic arch secondary flow patterns, geometry, and age analysed by 4-dimensional phase contrast magnetic resonance imaging at 3 Tesla.

Authors:  Alex Frydrychowicz; Alexander Berger; Alejandro Munoz Del Rio; Maximilian F Russe; Jelena Bock; Andreas Harloff; Michael Markl
Journal:  Eur Radiol       Date:  2011-12-30       Impact factor: 5.315

3.  Extended 3D approach for quantification of abnormal ascending aortic flow.

Authors:  Monica Sigovan; Petter Dyverfeldt; Jarrett Wrenn; Elaine E Tseng; David Saloner; Michael D Hope
Journal:  Magn Reson Imaging       Date:  2015-02-23       Impact factor: 2.546

4.  Evaluation of Aortic Blood Flow and Wall Shear Stress in Aortic Stenosis and Its Association With Left Ventricular Remodeling.

Authors:  Florian von Knobelsdorff-Brenkenhoff; Achudhan Karunaharamoorthy; Ralf Felix Trauzeddel; Alex J Barker; Edyta Blaszczyk; Michael Markl; Jeanette Schulz-Menger
Journal:  Circ Cardiovasc Imaging       Date:  2016-03       Impact factor: 7.792

5.  The effect of inlet and outlet boundary conditions in image-based CFD modeling of aortic flow.

Authors:  Sudharsan Madhavan; Erica M Cherry Kemmerling
Journal:  Biomed Eng Online       Date:  2018-05-30       Impact factor: 2.819

6.  Volumetric quantification of absolute local normalized helicity in patients with bicuspid aortic valve and aortic dilatation.

Authors:  Julio Garcia; Alex J Barker; Jeremy D Collins; James C Carr; Michael Markl
Journal:  Magn Reson Med       Date:  2016-08-19       Impact factor: 4.668

7.  Performance Analysis of Gyroscope and Accelerometer Sensors for Seismocardiography-Based Wearable Pre-Ejection Period Estimation.

Authors:  Md Mobashir Hasan Shandhi; Beren Semiz; Sinan Hersek; Nazli Goller; Farrokh Ayazi; Omer T Inan
Journal:  IEEE J Biomed Health Inform       Date:  2019-01-28       Impact factor: 5.772

Review 8.  Lagrangian postprocessing of computational hemodynamics.

Authors:  Shawn C Shadden; Amirhossein Arzani
Journal:  Ann Biomed Eng       Date:  2014-07-25       Impact factor: 3.934

9.  Characterization of the vessel geometry, flow mechanics and wall shear stress in the great arteries of wildtype prenatal mouse.

Authors:  Choon Hwai Yap; Xiaoqin Liu; Kerem Pekkan
Journal:  PLoS One       Date:  2014-01-27       Impact factor: 3.240

10.  The role of biofluid mechanics in the assessment of clinical and pathological observations: sixth International Bio-Fluid Mechanics Symposium and Workshop, March 28-30, 2008 Pasadena, California.

Authors:  Maria Siebes; Yiannis Ventikos
Journal:  Ann Biomed Eng       Date:  2010-01-20       Impact factor: 3.934

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