Cardiac Flow Analysis Applied to Phase Contrast Magnetic Resonance Imaging of the Heart

Phase contrast magnetic resonance imaging is performed to produce flow fields of blood in the heart. The aim of this study is to demonstrate the state of change in swirling blood flow within cardiac chambers and to quantify it for clinical analysis. Velocity fields based on the projection of the three dimensional blood flow onto multiple planes are scanned. The flow patterns can be illustrated using streamlines and vector plots to show the blood dynamical behavior at every cardiac phase. Large-scale vortices can be observed in the heart chambers, and we have developed a technique for characterizing their locations and strength. From our results, we are able to acquire an indication of the changes in blood swirls over one cardiac cycle by using temporal vorticity fields of the cardiac flow. This can improve our understanding of blood dynamics within the heart that may have implications in blood circulation efficiency. The results presented in this paper can establish a set of reference data to compare with unusual flow patterns due to cardiac abnormalities. The calibration of other flow-imaging modalities can also be achieved using this well-established velocity-encoding standard.

[1]  W. Williams,et al.  The Natural and Modifed History of Congenital Heart Disease , 2003 .

[2]  M. Yacoub,et al.  Asymmetric redirection of flow through the heart , 2000, Nature.

[3]  M. Buonocore,et al.  4D magnetic resonance velocity mapping of blood flow patterns in the aorta in young vs. elderly normal subjects , 1999, Journal of magnetic resonance imaging : JMRI.

[4]  R S Thompson Blood flow velocity waveforms. , 1987, Seminars in perinatology.

[5]  H. Torp,et al.  Real-time blood motion imaging a 2D blood flow visualization technique , 2004, IEEE Ultrasonics Symposium, 2004.

[6]  Willis J. Tompkins,et al.  A Real-Time QRS Detection Algorithm , 1985, IEEE Transactions on Biomedical Engineering.

[7]  Andrew C Larson,et al.  Comparison of self‐gated cine MRI retrospective cardiac synchronization algorithms , 2008, Journal of magnetic resonance imaging : JMRI.

[8]  Joel H. Ferziger,et al.  Computational methods for fluid dynamics , 1996 .

[9]  Christopher Cannon,et al.  The ECG: A Two-Step Approach to Diagnosis , 2003 .

[10]  C. Meier,et al.  Cardiovascular flow measurement with phase-contrast MR imaging: basic facts and implementation. , 2002, Radiographics : a review publication of the Radiological Society of North America, Inc.

[11]  Richard B Thompson,et al.  Flow‐gated phase‐contrast MRI using radial acquisitions , 2004, Magnetic resonance in medicine.

[12]  S. Maier,et al.  Phase-Velocity Cine Magnetic Resonance Imaging Measurement of Pulsatile Blood Flow in Children and Young Adults: In Vitro and In Vivo Validation , 2000, Pediatric Cardiology.

[13]  M. Cadioli,et al.  In Vivo Quantification of Helical Blood Flow in Human Aorta by Time-Resolved Three-Dimensional Cine Phase Contrast Magnetic Resonance Imaging , 2009, Annals of Biomedical Engineering.

[14]  Andrew C Larson,et al.  Self‐gated cardiac cine MRI , 2004, Magnetic resonance in medicine.

[15]  L. Lourenço Particle Image Velocimetry , 1989 .

[16]  Wranne,et al.  Left Atrial Vortices Studied with 3D Phase Contrast MRI , 1999 .

[17]  Michael Markl,et al.  MRI-Based CFD Analysis of Flow in a Human Left Ventricle: Methodology and Application to a Healthy Heart , 2009, Annals of Biomedical Engineering.

[18]  Michael Markl,et al.  Time‐resolved three‐dimensional phase‐contrast MRI , 2003, Journal of magnetic resonance imaging : JMRI.

[19]  A. Benchimol,et al.  Doppler ultrasound in cardiology: Physical principles and clinical applications , 1982 .

[20]  M. Grigioni,et al.  Helical flow as fluid dynamic signature for atherogenesis risk in aortocoronary bypass. A numeric study. , 2007, Journal of biomechanics.

[21]  Robert R Edelman,et al.  Contrast-enhanced MR imaging of the heart: overview of the literature. , 2004, Radiology.

[22]  P Verdonck,et al.  Validation of the coupling of magnetic resonance imaging velocity measurements with computational fluid dynamics in a U bend. , 2002, Artificial organs.

[23]  D N Firmin,et al.  Vortical flow feature recognition: a topological study of in vivo flow patterns using MR velocity mapping. , 1998, Journal of computer assisted tomography.

[24]  Shelly L. Miller,et al.  Particle Image Velocimetry of Human Cough , 2011 .

[25]  Arash Kheradvar,et al.  Optimal vortex formation as an index of cardiac health. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[26]  H V PIPBERGER,et al.  Automatic Recognition of Electrocardiographic Waves by Digital Computer , 1961, Circulation research.

[27]  Automatic Detection of Vortical Flow Patterns from Three-dimensional Phase Contrast MRI , 2001 .

[28]  C. Roobottom,et al.  Morphologic assessment of patent ductus arteriosus in adults using retrospectively ECG-gated multidetector CT. , 2003, AJR. American journal of roentgenology.

[29]  Anthony B. Wolbarst,et al.  Looking Within: How X-Ray, CT, MRI, Ultrasound, and Other Medical Images Are Created, and How They Help Physicians Save Lives , 1999 .

[30]  B. Wranne,et al.  Temporally resolved 3D phase‐contrast imaging , 1996, Magnetic resonance in medicine.

[31]  P Boesiger,et al.  Human abdominal aorta: comparative measurements of blood flow with MR imaging and multigated Doppler US. , 1989, Radiology.

[32]  Hans-Ulrich Kauczor,et al.  MR flow measurements for assessment of the pulmonary, systemic and bronchosystemic circulation: impact of different ECG gating methods and breathing schema. , 2007, European journal of radiology.

[33]  D. Brutsaert,et al.  New concepts in diastolic dysfunction and diastolic heart failure: Part II: causal mechanisms and treatment. , 2002, Circulation.

[34]  Peter Boesiger,et al.  Accelerating cine phase‐contrast flow measurements using k‐t BLAST and k‐t SENSE , 2005, Magnetic resonance in medicine.

[35]  Derek Abbott,et al.  Theory and Validation of Magnetic Resonance Fluid Motion Estimation Using Intensity Flow Data , 2009, PloS one.

[36]  C. Kasai,et al.  Real-Time Two-Dimensional Blood Flow Imaging Using an Autocorrelation Technique , 1985, IEEE Transactions on Sonics and Ultrasonics.

[37]  G. Mielke,et al.  Blood flow velocity waveforms of the fetal pulmonary artery and the ductus arteriosus: reference ranges from 13 weeks to term , 2000, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.

[38]  P. Savard,et al.  On the detection of QRS variations in the ECG , 1995, IEEE Transactions on Biomedical Engineering.

[39]  P.E. Trahanias,et al.  An approach to QRS complex detection using mathematical morphology , 1993, IEEE Transactions on Biomedical Engineering.

[40]  T Ebbers,et al.  Three dimensional flow in the human left atrium , 2001, Heart.

[41]  Milan Sonka,et al.  Coronary arteries: imaging, reconstruction, and fluid dynamic analysis. , 2006, Critical reviews in biomedical engineering.

[42]  T Ebbers,et al.  Noninvasive measurement of time-varying three-dimensional relative pressure fields within the human heart. , 2002, Journal of biomechanical engineering.

[43]  A. Yoganathan,et al.  Biofluid Mechanics: The Human Circulation , 2006 .

[44]  S. Oyre,et al.  Accurate noninvasive quantitation of blood flow, cross-sectional lumen vessel area and wall shear stress by three-dimensional paraboloid modeling of magnetic resonance imaging velocity data. , 1998, Journal of the American College of Cardiology.

[45]  Milan Sonka,et al.  Plaque development, vessel curvature, and wall shear stress in coronary arteries assessed by X-ray angiography and intravascular ultrasound , 2006, Medical Image Anal..

[46]  山下 修平 Visualization of hemodynamics in intracranial arteries using time-resolved three-dimensional phase-contrast MRI , 2008 .

[47]  D. Brutsaert,et al.  New concepts in diastolic dysfunction and diastolic heart failure: Part I: diagnosis, prognosis, and measurements of diastolic function. , 2002, Circulation.

[48]  A. DeMaria,et al.  Of that Waltz in my heart. , 2007, Journal of the American College of Cardiology.

[49]  Werner Moshage,et al.  Noninvasive coronary angiography by retrospectively ECG-gated multislice spiral CT. , 2000 .

[50]  M. Buonocore,et al.  Four‐dimensional magnetic resonance velocity mapping of blood flow patterns in the aorta in patients with atherosclerotic coronary artery disease compared to age‐matched normal subjects , 2004, Journal of magnetic resonance imaging : JMRI.

[51]  Olga Pierrakos,et al.  The effect of vortex formation on left ventricular filling and mitral valve efficiency. , 2006, Journal of biomechanical engineering.

[52]  I. Marshall,et al.  Comparative Study of Magnetic Resonance Imaging and Image-Based Computational Fluid Dynamics for Quantification of Pulsatile Flow in a Carotid Bifurcation Phantom , 2003, Annals of Biomedical Engineering.

[53]  Ryan B. Wicker,et al.  Full-field velocity and temperature measurements using magnetic resonance imaging in turbulent complex internal flows , 2004 .

[54]  Michel Stanislas,et al.  Some considerations on the accuracy and frequency response of some derivative filters applied to particle image velocimetry vector fields , 2002 .

[55]  Alex T. Pang,et al.  UFLOW: visualizing uncertainty in fluid flow , 1996, Proceedings of Seventh Annual IEEE Visualization '96.

[56]  H. T. Nagle,et al.  A comparison of the noise sensitivity of nine QRS detection algorithms , 1990, IEEE Transactions on Biomedical Engineering.

[57]  Werner Moshage,et al.  Noninvasive Coronary Angiography by Retrospectively ECG-Gated Multislice Spiral CT , 2000, Circulation.

[58]  J. Carr,et al.  Dark-blood MRI of the thoracic aorta with 3D diffusion-prepared steady-state free precession: initial clinical evaluation. , 2007, AJR. American journal of roentgenology.

[59]  M. Alley,et al.  Time-Resolved 3-Dimensional Velocity Mapping in the Thoracic Aorta: Visualization of 3-Directional Blood Flow Patterns in Healthy Volunteers and Patients , 2004, Journal of computer assisted tomography.

[60]  Dhanjoo N. Ghista Applied Biomedical Engineering Mechanics , 2008 .

[61]  P Boesiger,et al.  In vivo wall shear stress measured by magnetic resonance velocity mapping in the normal human abdominal aorta. , 1997, European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery.

[62]  J. Todd Book Review: Digital image processing (second edition). By R. C. Gonzalez and P. Wintz, Addison-Wesley, 1987. 503 pp. Price: £29.95. (ISBN 0-201-11026-1) , 1988 .

[63]  R. Chaoui,et al.  Doppler echocardiography of the main stems of the pulmonary arteries in the normal human fetus , 1998, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.

[64]  D. Levy,et al.  Congestive heart failure in subjects with normal versus reduced left ventricular ejection fraction: prevalence and mortality in a population-based cohort. , 1999, Journal of the American College of Cardiology.

[65]  L.G. Raguin,et al.  MRI velocimetry in microchannel networks , 2005, 2005 3rd IEEE/EMBS Special Topic Conference on Microtechnology in Medicine and Biology.

[66]  Rüdiger Dillmann,et al.  A versatile tool for flow analysis in 3D-phase-contrast magnetic resonance imaging , 2006 .

[67]  H. Trappe,et al.  Different effect of exercise on left ventricular diastolic time and interventricular dyssynchrony in heart failure patients with and without left bundle branch block , 2008, International journal of medical sciences.

[68]  I. Marshall,et al.  Quantitative comparison of CFD predicted and MRI measured velocity fields in a carotid bifurcation phantom. , 2002, Biorheology.

[69]  Derek Abbott,et al.  MEDICAL IMAGING AND PROCESSING METHODS FOR CARDIAC FLOW RECONSTRUCTION , 2009 .

[70]  Ali Etebari,et al.  Improvements on the accuracy of derivative estimation from DPIV velocity measurements , 2005 .

[71]  Elliot R. McVeigh,et al.  A comparison of prospective and retrospective respiratory navigator gating in 3D MR coronary angiography , 2001, The International Journal of Cardiovascular Imaging.

[72]  P. Jakob,et al.  In vivo quantitative three‐dimensional motion mapping of the murine myocardium with PC‐MRI at 17.6 T , 2006, Magnetic resonance in medicine.

[73]  E.Y. Lam,et al.  Multi-modal Imaging: Simultaneous MRI and Ultrasound Imaging for Carotid Arteries Visualization , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[74]  W. Little,et al.  Diastolic mitral annular velocity during the development of heart failure. , 2003, Journal of the American College of Cardiology.

[75]  M. Gatzoulis,et al.  Atrial Septal Defects in the Adult: Recent Progress and Overview , 2006, Circulation.

[76]  J. Hennig,et al.  Time‐resolved 3D MR velocity mapping at 3T: Improved navigator‐gated assessment of vascular anatomy and blood flow , 2007, Journal of magnetic resonance imaging : JMRI.

[77]  J. Gardin,et al.  Doppler Flow Velocity Mapping in an In Vitro Model of the Normal Pulmonary Artery , 1988, Journal of the American College of Cardiology.