Variational Framework for Assessment of the Left Ventricle Motion

Impairment of left ventricular contractility due to cardiovascular diseases is reflected in left ventricle (LV) motion patterns. An abnormal change of torsion or long axis shortening LV values can help with the diagnosis and follow-up of LV dysfunction. Tagged Magnetic Resonance (TMR) is a widely spread medical imaging modality that allows estimation of the myocardial tissue local deformation. In this work, we introduce a novel variational framework for extracting the left ventricle dynamics from TMR sequences. A bi-dimensional representation space of TMR images given by Gabor filter banks is defined. Tracking of the phases of the Gabor response is combined using a variational framework which regularizes the deformation field just at areas where the Gabor amplitude drops, while restoring the underlying motion otherwise. The clinical applicability of the proposed method is illustrated by extracting normality models of the ventricular torsion from 19 healthy subjects.

[1]  G. M.,et al.  Partial Differential Equations I , 2023, Applied Mathematical Sciences.

[2]  Jerry L. Prince,et al.  Snakes, shapes, and gradient vector flow , 1998, IEEE Trans. Image Process..

[3]  A. Young,et al.  Three-dimensional motion and deformation of the heart wall: estimation with spatial modulation of magnetization--a model-based approach. , 1992, Radiology.

[4]  Junaed Sattar.  Snakes , Shapes and Gradient Vector Flow , 2022 .

[5]  M. Cerqueira,et al.  Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart: A statement for healthcare professionals from the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association , 2002, The international journal of cardiovascular imaging.

[6]  Gary H. Glover,et al.  Phase unwrapping of MR phase images using Poisson equation , 1995, IEEE Trans. Image Process..

[7]  Petia Radeva,et al.  Angle Images using Gabor Filters in Cardiac Tagged MRI , 2005, CCIA.

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

[9]  M. Cerqueira,et al.  Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart. A statement for healthcare professionals from the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association. , 2002, Circulation.

[10]  Françoise J. Prêteux,et al.  A non-rigid registration approach for quantifying myocardial contraction in tagged MRI using generalized information measures , 2005, Medical Image Anal..

[11]  Jerry L. Prince,et al.  Optimal brightness functions for optical flow estimation of deformable motion , 1994, IEEE Trans. Image Process..

[12]  P. Radeva,et al.  Characterization of ventricular torsion in healthy subjects using Gabor filters and a variational framework , 2006, 2006 Computers in Cardiology.

[13]  Michel Barlaud,et al.  Deterministic edge-preserving regularization in computed imaging , 1997, IEEE Trans. Image Process..

[14]  Jerry L Prince,et al.  Cardiac motion simulator for tagged MRI , 1996, Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis.

[15]  Jerry L. Prince,et al.  Imaging heart motion using harmonic phase MRI , 2000, IEEE Transactions on Medical Imaging.

[16]  Masashi Komeda,et al.  Towards new understanding of the heart structure and function. , 2005, European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery.

[17]  Leon Axel,et al.  TAGGED MRI ANALYSIS USING GABOR FILTERS , 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[18]  David A Bluemke,et al.  Regional myocardial function: advances in MR imaging and analysis. , 2003, Radiographics : a review publication of the Radiological Society of North America, Inc.

[19]  Leon Axel,et al.  Validation of an optical flow method for tag displacement estimation , 1999, IEEE Transactions on Medical Imaging.

[20]  G. Buckberg,et al.  Spatial orientation of the ventricular muscle band: physiologic contribution and surgical implications. , 2001, The Journal of thoracic and cardiovascular surgery.

[21]  Jerry L. Prince,et al.  Tag and contour detection in tagged MR images of the left ventricle , 1994, IEEE Trans. Medical Imaging.

[22]  P. Radeva,et al.  Harmonic Phase Flow for Tissue Motion Estimation in Tagged MR Sequences , 2006 .

[23]  Dmitry B. Goldgof,et al.  Automatic tracking of SPAMM grid and the estimation of deformation parameters from cardiac MR images , 1994, IEEE Trans. Medical Imaging.

[24]  M.J. Ledesma-Carbayo,et al.  Fully automatic cardiac motion estimation from Tagged MRI using non-rigid registration techniques , 2006, 2006 Computers in Cardiology.

[25]  Jerry L Prince,et al.  Fast determination of regional myocardial strain fields from tagged cardiac images using harmonic phase MRI. , 2000, Circulation.

[26]  E. Zerhouni,et al.  Human heart: tagging with MR imaging--a method for noninvasive assessment of myocardial motion. , 1988, Radiology.

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

[28]  Jerry L Prince,et al.  Cardiac motion tracking using CINE harmonic phase (HARP) magnetic resonance imaging , 1999, Magnetic resonance in medicine.

[29]  Daniel Rueckert,et al.  Analysis of 3-D myocardial motion in tagged MR images using nonrigid image registration , 2004, IEEE Transactions on Medical Imaging.

[30]  L. Axel,et al.  MR imaging of motion with spatial modulation of magnetization. , 1989, Radiology.

[31]  J. Bundy,et al.  Delineation of normal human left ventricular twist throughout systole by tagged cine magnetic resonance imaging. , 2000, Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance.

[32]  Jaco J M Zwanenburg,et al.  Myocardial strain and torsion quantified by cardiovascular magnetic resonance tissue tagging: studies in normal and impaired left ventricular function. , 2006, Journal of the American College of Cardiology.

[33]  Jerry L. Prince,et al.  Motion estimation from tagged MR image sequences , 1992, IEEE Trans. Medical Imaging.

[34]  Jonas Crosby,et al.  New Noninvasive Method for Assessment of Left Ventricular Rotation: Speckle Tracking Echocardiography , 2005, Circulation.

[35]  J. Sanderson,et al.  Left ventricular long axis function in diastolic heart failure is reduced in both diastole and systole: time for a redefinition? , 2002, Heart.

[36]  William Stewart,et al.  Recommendations for chamber quantification. , 2006, European journal of echocardiography : the journal of the Working Group on Echocardiography of the European Society of Cardiology.