Literature DB >> 18706851

Motion-guided segmentation for cine DENSE MRI.

Bruce S Spottiswoode1, Xiaodong Zhong, Christine H Lorenz, Bongani M Mayosi, Ernesta M Meintjes, Frederick H Epstein.   

Abstract

Defining myocardial contours is often the most time-consuming portion of dynamic cardiac MRI image analysis. Displacement encoding with stimulated echoes (DENSE) is a quantitative MRI technique that encodes tissue displacement into the phase of the complex MRI images. Cine DENSE provides a time series of these images, thus facilitating the non-invasive study of myocardial kinematics. Epicardial and endocardial contours need to be defined at each frame on cine DENSE images for the quantification of regional displacement and strain as a function of time. This work presents a reliable and effective two-dimensional semi-automated segmentation technique that uses the encoded motion to project a manually-defined region of interest through time. Contours can then easily be extracted for each cardiac phase. This method boasts several advantages, including, (1) parameters are based on practical physiological limits, (2) contours are calculated for the first few cardiac phases, where it is difficult to visually distinguish blood from myocardium, and (3) the method is independent of the shape of the tissue delineated and can be applied to short- or long-axis views, and on arbitrary regions of interest. Motion-guided contours were compared to manual contours for six conventional and six slice-followed mid-ventricular short-axis cine DENSE datasets. Using an area measure of segmentation error, the accuracy of the segmentation algorithm was shown to be similar to inter-observer variability. In addition, a radial segmentation error metric was introduced for short-axis data. The average radial epicardial segmentation error was 0.36+/-0.08 and 0.40+/-0.10 pixels for slice-followed and conventional cine DENSE, respectively, and the average radial endocardial segmentation error was 0.46+/-0.12 and 0.46+/-0.16 pixels for slice following and conventional cine DENSE, respectively. Motion-guided segmentation employs the displacement-encoded phase shifts intrinsic to DENSE MRI to accurately propagate a single set of pre-defined contours throughout the remaining cardiac phases.

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Year:  2008        PMID: 18706851      PMCID: PMC2614556          DOI: 10.1016/j.media.2008.06.016

Source DB:  PubMed          Journal:  Med Image Anal        ISSN: 1361-8415            Impact factor:   8.545


  23 in total

1.  DENSE: displacement encoding with stimulated echoes in cardiac functional MRI.

Authors:  A H Aletras; S Ding; R S Balaban; H Wen
Journal:  J Magn Reson       Date:  1999-03       Impact factor: 2.229

2.  Automatic tracking of SPAMM grid and the estimation of deformation parameters from cardiac MR images.

Authors:  S Kumar; D Goldgof
Journal:  IEEE Trans Med Imaging       Date:  1994       Impact factor: 10.048

3.  Tracking and finite element analysis of stripe deformation in magnetic resonance tagging.

Authors:  A A Young; D L Kraitchman; L Dougherty; L Axel
Journal:  IEEE Trans Med Imaging       Date:  1995       Impact factor: 10.048

4.  3D myocardial tissue tracking with slice followed cine DENSE MRI.

Authors:  Bruce S Spottiswoode; Xiaodong Zhong; Christine H Lorenz; Bongani M Mayosi; Ernesta M Meintjes; Frederick H Epstein
Journal:  J Magn Reson Imaging       Date:  2008-05       Impact factor: 4.813

5.  Improved myocardial tagging contrast.

Authors:  S E Fischer; G C McKinnon; S E Maier; P Boesiger
Journal:  Magn Reson Med       Date:  1993-08       Impact factor: 4.668

6.  Direct cardiac NMR imaging of heart wall and blood flow velocity.

Authors:  P van Dijk
Journal:  J Comput Assist Tomogr       Date:  1984-06       Impact factor: 1.826

7.  Measurement of flow with NMR imaging using a gradient pulse and phase difference technique.

Authors:  D J Bryant; J A Payne; D N Firmin; D B Longmore
Journal:  J Comput Assist Tomogr       Date:  1984-08       Impact factor: 1.826

8.  Quantification of regional contractile function after infarction: strain analysis superior to wall thickening analysis in discriminating infarct from remote myocardium.

Authors:  M J Götte; A C van Rossum; J T Marcus; C A Visser
Journal:  J Am Coll Cardiol       Date:  2001-03-01       Impact factor: 24.094

9.  Measurement of myocardial mechanics in mice before and after infarction using multislice displacement-encoded MRI with 3D motion encoding.

Authors:  Wesley D Gilson; Zequan Yang; Brent A French; Frederick H Epstein
Journal:  Am J Physiol Heart Circ Physiol       Date:  2004-10-28       Impact factor: 4.733

10.  Fast tracking of cardiac motion using 3D-HARP.

Authors:  Li Pan; Joao A C Lima; Nael F Osman
Journal:  Inf Process Med Imaging       Date:  2003-07
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  43 in total

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Authors:  Niti R Aggarwal; Matthew W Martinez; Bernard J Gersh; Panithaya Chareonthaitawee
Journal:  Nat Rev Cardiol       Date:  2009-11-03       Impact factor: 32.419

Review 2.  Myocardial tagging by cardiovascular magnetic resonance: evolution of techniques--pulse sequences, analysis algorithms, and applications.

Authors:  El-Sayed H Ibrahim
Journal:  J Cardiovasc Magn Reson       Date:  2011-07-28       Impact factor: 5.364

3.  Unsupervised Myocardial Segmentation for Cardiac BOLD.

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4.  Imaging left-ventricular mechanical activation in heart failure patients using cine DENSE MRI: Validation and implications for cardiac resynchronization therapy.

Authors:  Daniel A Auger; Kenneth C Bilchick; Jorge A Gonzalez; Sophia X Cui; Jeffrey W Holmes; Christopher M Kramer; Michael Salerno; Frederick H Epstein
Journal:  J Magn Reson Imaging       Date:  2017-01-09       Impact factor: 4.813

5.  Singular Value Decomposition Applied to Cardiac Strain from MR Imaging for Selection of Optimal Cardiac Resynchronization Therapy Candidates.

Authors:  Raghav Ramachandran; Xiao Chen; Christopher M Kramer; Frederick H Epstein; Kenneth C Bilchick
Journal:  Radiology       Date:  2015-01-09       Impact factor: 11.105

6.  Differential Effects of Isoproterenol on Regional Myocardial Mechanics in Rat using 3D cine DENSE Cardiovascular Magnetic Resonance.

Authors:  Xiaoyan Zhang; Zhan-Qiu Liu; Dara Singh; David K Powell; Charles S Chung; Kenneth S Campbell; Jonathan F Wenk
Journal:  J Biomech Eng       Date:  2018-08-04       Impact factor: 2.097

7.  Imaging three-dimensional myocardial mechanics using navigator-gated volumetric spiral cine DENSE MRI.

Authors:  Xiaodong Zhong; Bruce S Spottiswoode; Craig H Meyer; Christopher M Kramer; Frederick H Epstein
Journal:  Magn Reson Med       Date:  2010-10       Impact factor: 4.668

8.  Nitroxide-enhanced MRI of cardiovascular oxidative stress.

Authors:  Soham A Shah; Sophia X Cui; Christopher D Waters; Soichi Sano; Ying Wang; Heather Doviak; Jonathan Leor; Kenneth Walsh; Brent A French; Frederick H Epstein
Journal:  NMR Biomed       Date:  2020-07-09       Impact factor: 4.044

9.  Impact of mechanical activation, scar, and electrical timing on cardiac resynchronization therapy response and clinical outcomes.

Authors:  Kenneth C Bilchick; Sujith Kuruvilla; Yasmin S Hamirani; Raghav Ramachandran; Samantha A Clarke; Katherine M Parker; George J Stukenborg; Pamela Mason; John D Ferguson; J Randall Moorman; Rohit Malhotra; J Michael Mangrum; Andrew E Darby; John Dimarco; Jeffrey W Holmes; Michael Salerno; Christopher M Kramer; Frederick H Epstein
Journal:  J Am Coll Cardiol       Date:  2014-03-05       Impact factor: 24.094

10.  Reproducibility of cine displacement encoding with stimulated echoes (DENSE) in human subjects.

Authors:  Kai Lin; Leng Meng; Jeremy D Collins; Varun Chowdhary; Michael Markl; James C Carr
Journal:  Magn Reson Imaging       Date:  2016-08-26       Impact factor: 2.546

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