Improving left ventricular segmentation in four‐dimensional flow MRI using intramodality image registration for cardiac blood flow analysis

Assessment of blood flow in the left ventricle using four‐dimensional flow MRI requires accurate left ventricle segmentation that is often hampered by the low contrast between blood and the myocardium. The purpose of this work is to improve left‐ventricular segmentation in four‐dimensional flow MRI for reliable blood flow analysis.

[1]  Caroline Petitjean,et al.  A review of segmentation methods in short axis cardiac MR images , 2011, Medical Image Anal..

[2]  Paul Suetens,et al.  Automatic 3-D Breath-Hold Related Motion Correction of Dynamic Multislice MRI , 2010, IEEE Transactions on Medical Imaging.

[3]  R. Edelman,et al.  Diaphragmatic and cardiac motion during suspended breathing: preliminary experience and implications for breath-hold MR imaging. , 1998, Radiology.

[4]  L. R. Dice.  Measures of the Amount of Ecologic Association Between Species , 1945 .

[5]  Max A. Viergever,et al.  A survey of medical image registration , 1998, Medical Image Anal..

[6]  M. Markl,et al.  4D flow cardiovascular magnetic resonance consensus statement , 2015, Journal of Cardiovascular Magnetic Resonance.

[7]  Torsten Rohlfing,et al.  Image Similarity and Tissue Overlaps as Surrogates for Image Registration Accuracy: Widely Used but Unreliable , 2012, IEEE Transactions on Medical Imaging.

[8]  Max A. Viergever,et al.  elastix: A Toolbox for Intensity-Based Medical Image Registration , 2010, IEEE Transactions on Medical Imaging.

[9]  Petter Dyverfeldt,et al.  4D flow MRI can detect subtle right ventricular dysfunction in primary left ventricular disease , 2016, Journal of magnetic resonance imaging : JMRI.

[10]  Petter Dyverfeldt,et al.  Higher order weighted least-squares phase offset correction for improved accuracy in phase-contrast MRI , 2008 .

[11]  D. Berman,et al.  Patient motion correction for multiplanar, multi‐breath‐hold cardiac cine MR imaging , 2007, Journal of magnetic resonance imaging : JMRI.

[12]  F. Stephan,et al.  Set theory , 2018, Mathematical Statistics with Applications in R.

[13]  Petter Dyverfeldt,et al.  Semi-automatic quantification of 4D left ventricular blood flow , 2010, Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance.

[14]  N. Otsu.  A threshold selection method from gray level histograms , 1979 .

[15]  Oliver Bieri,et al.  Fundamentals of balanced steady state free precession MRI , 2013, Journal of magnetic resonance imaging : JMRI.

[16]  Emile A. Hendriks,et al.  Cardiac MR perfusion image processing techniques: A survey , 2012, Medical Image Anal..

[17]  Enrico G. Caiani,et al.  Nearly automated motion artifacts correction between multi breath-hold short-axis and long-axis cine CMR images , 2014, Comput. Biol. Medicine.

[18]  T. Ebbers,et al.  Altered Diastolic Flow Patterns and Kinetic Energy in Subtle Left Ventricular Remodeling and Dysfunction Detected by 4D Flow MRI , 2016, PloS one.

[19]  Michael Unser,et al.  Optimization of Mutual Information for , 2000 .

[20]  Boudewijn P. F. Lelieveldt,et al.  Fast Automatic Step Size Estimation for Gradient Descent Optimization of Image Registration , 2016, IEEE Transactions on Medical Imaging.

[21]  David Atkinson,et al.  A study of the motion and deformation of the heart due to respiration , 2002, IEEE Transactions on Medical Imaging.

[22]  D. Firmin,et al.  Motion in cardiovascular MR imaging. , 2009, Radiology.

[23]  Q. Xiang,et al.  Temporal phase unwrapping for cine velocity imaging , 1995, Journal of magnetic resonance imaging : JMRI.

[24]  Michael Unser,et al.  Optimization of mutual information for multiresolution image registration , 2000, IEEE Trans. Image Process..

[25]  J. Schnabel,et al.  Correction of misaligned slices in multi-slice cardiovascular magnetic resonance using slice-to-volume registration , 2008, Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance.