Noninvasive Cardiac Flow Assessment Using High Speed Magnetic Resonance Fluid Motion Tracking

Cardiovascular diseases can be diagnosed by assessing abnormal flow behavior in the heart. We introduce, for the first time, a magnetic resonance imaging-based diagnostic that produces sectional flow maps of cardiac chambers, and presents cardiac analysis based on the flow information. Using steady-state free precession magnetic resonance images of blood, we demonstrate intensity contrast between asynchronous and synchronous proton spins. Turbulent blood flow in cardiac chambers contains asynchronous blood proton spins whose concentration affects the signal intensities that are registered onto the magnetic resonance images. Application of intensity flow tracking based on their non-uniform signal concentrations provides a flow field map of the blood motion. We verify this theory in a patient with an atrial septal defect whose chamber blood flow vortices vary in speed of rotation before and after septal occlusion. Based on the measurement of cardiac flow vorticity in our implementation, we establish a relationship between atrial vorticity and septal defect. The developed system has the potential to be used as a prognostic and investigative tool for assessment of cardiac abnormalities, and can be exploited in parallel to examining myocardial defects using steady-state free precession magnetic resonance images of the heart.

[1]  B. Bellhouse,et al.  Fluid Mechanics of the Mitral Valve , 1969, Nature.

[2]  P D Stein,et al.  Thrombus production by turbulence. , 1972, Journal of applied physiology.

[3]  H N Sabbah,et al.  Measured Turbulence and Its Effect on Thrombus Formation , 1974, Circulation research.

[4]  Berthold K. P. Horn,et al.  Determining Optical Flow , 1981, Other Conferences.

[5]  M. Uguccioni,et al.  [Dynamic electrocardiography]. , 1983, Recenti progressi in medicina.

[6]  P. V. Marsden,et al.  Handbook of Survey Research , 1985 .

[7]  Kuethe Measuring distributions of diffusivity in turbulent fluids with magnetic-resonance imaging. , 1989, Physical review. A, General physics.

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

[9]  N Fujita,et al.  Velocity-encoded cine MRI in the evaluation of left ventricular diastolic function: measurement of mitral valve and pulmonary vein flow velocities and flow volume across the mitral valve. , 1993, American Heart Journal.

[10]  Lynn F. Gladden,et al.  Nuclear magnetic resonance in chemical engineering: Principles and applications , 1994 .

[11]  C. Higgins,et al.  Assessment of valvular heart disease by magnetic resonance imaging. , 1995, American heart journal.

[12]  T. Munger Cardiac Arrhythmia: Mechanisms, Diagnosis, and Management , 1995 .

[13]  L Söndergaard,et al.  MR flow quantification with cardiovascular applications: a short overview , 1995, Acta paediatrica (Oslo, Norway : 1992). Supplement.

[14]  Lynn F. Gladden,et al.  Applications of nuclear magnetic resonance imaging in process engineering , 1996 .

[15]  Philip J. Kilner Morphodynamics of flow through the heart , 1999 .

[16]  R. Benecke,et al.  Monitoring the effectiveness of anticoagulative therapy in left atrial spontaneous echo contrast by cerebral microemboli detection. , 1999, Stroke.

[17]  J.-Y. Bouguet,et al.  Pyramidal implementation of the lucas kanade feature tracker , 1999 .

[18]  A. Prasad Particle image velocimetry , 2000 .

[19]  J Knuuti,et al.  Multimodality MR imaging assessment of myocardial viability: combination of first-pass and late contrast enhancement to wall motion dynamics and comparison with FDG PET-initial experience. , 2000, Radiology.

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

[21]  S. Plein,et al.  Steady‐state free precession magnetic resonance imaging of the heart: Comparison with segmented k‐space gradient‐echo imaging , 2001, Journal of magnetic resonance imaging : JMRI.

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

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

[24]  Philip J. Podrid,et al.  Cardiac Arrhythmia: Mechanisms, Diagnosis, and Management , 2001 .

[25]  H. Sakuma [Optimal use of contrast medium in contrast enhanced MR imaging of the heart]. , 2002, Nihon Igaku Hoshasen Gakkai zasshi. Nippon acta radiologica.

[26]  K. Durongpisitkul,et al.  Predictors of Successful Transcatheter Closure of Atrial Septal Defect by Cardiac Magnetic Resonance Imaging , 2004, Pediatric Cardiology.

[27]  H. Yip,et al.  Left atrial platelet activity with rheumatic mitral stenosis: correlation study of severity and platelet P-selectin expression by flow cytometry. , 2003, Chest.

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

[29]  R. Kim,et al.  Noninvasive cineangiography by magnetic resonance global coherent free precession , 2004, Nature Medicine.

[30]  Scott D Flamm,et al.  Role of Cardiac Magnetic Resonance Imaging in the Assessment of Myocardial Viability , 2004, Circulation.

[31]  David J. Fleet,et al.  Performance of optical flow techniques , 1994, International Journal of Computer Vision.

[32]  R. Mohiaddin,et al.  Applications of phase-contrast flow and velocity imaging in cardiovascular MRI , 2005, European Radiology.

[33]  Timo Kohlberger,et al.  Variational optical flow estimation for particle image velocimetry , 2005 .

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

[35]  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.

[36]  E. Martin,et al.  MRI in patients with cardiac devices , 2007, Current cardiology reports.

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