Literature DB >> 18234539

Myocardial deformation recovery from cine MRI using a nearly incompressible biventricular model.

Arnaud Bistoquet1, John Oshinski, Oskar Skrinjar.   

Abstract

This paper presents a method for biventricular myocardial deformation recovery from cine MRI. The method is based on a deformable model that is nearly incompressible, a desirable property since the myocardium has been shown to be nearly incompressible. The model uses a matrix-valued radial basis function to represent divergence-free displacement fields, which is a first order approximation of incompressibility. This representation allows for deformation modeling of an arbitrary topologies with a relatively small number of parameters, which is suitable for representing the motion of the multi-chamber structure of the heart. The myocardium needs to be segmented in an initial frame after which the method automatically determines the tissue deformation everywhere in the myocardium throughout the cardiac cycle. Two studies were carried out to validate the method. In the first study the myocardial deformation was recovered from a 3D anatomical cine MRI sequence of a healthy volunteer and then validated against the manual segmentation of the biventricular wall and against the corresponding 3D tagged cine MRI sequence. The average volume agreement between the model and the manual segmentation had a false positive rate of 3.2%, false negative rate of 2.8% and true positive rate of 91.4%. The average distance between the model and manually determined intersections of perpendicular tag planes was 1.7mm (1.2 pixel). The same procedures was repeated on another set of 3D anatomical and tagged MRI scans of the same volunteer taken four months later. The recovered deformation was very similar to the one obtained from the first set of scans. In the second study the method was applied to 3D anatomical cine MRI scans of three patients with ventricular dyssynchrony and three age-matched healthy volunteers. The recovered strains of the normal subjects were clearly stronger than the recovered strains of the patients and they were similar to those reported by other researchers. The recovered deformation of all six subjects was validated against manual segmentation of the biventricular wall and against corresponding tagged MRI scans. The agreement was similar to that of the first study.

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Year:  2007        PMID: 18234539     DOI: 10.1016/j.media.2007.10.009

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


  36 in total

1.  Incompressible deformation estimation algorithm (IDEA) from tagged MR images.

Authors:  Xiaofeng Liu; Khaled Z Abd-Elmoniem; Maureen Stone; Emi Z Murano; Jiachen Zhuo; Rao P Gullapalli; Jerry L Prince
Journal:  IEEE Trans Med Imaging       Date:  2011-09-19       Impact factor: 10.048

Review 2.  Deformable medical image registration: a survey.

Authors:  Aristeidis Sotiras; Christos Davatzikos; Nikos Paragios
Journal:  IEEE Trans Med Imaging       Date:  2013-05-31       Impact factor: 10.048

3.  A coupled deformable model for tracking myocardial borders from real-time echocardiography using an incompressibility constraint.

Authors:  Yun Zhu; Xenophon Papademetris; Albert J Sinusas; James S Duncan
Journal:  Med Image Anal       Date:  2010-03-15       Impact factor: 8.545

4.  Spatiotemporal Strategies for Joint Segmentation and Motion Tracking From Cardiac Image Sequences.

Authors:  Huafeng Liu; Ting Wang; Lei Xu; Pengcheng Shi
Journal:  IEEE J Transl Eng Health Med       Date:  2017-02-23       Impact factor: 3.316

5.  Temporally diffeomorphic cardiac motion estimation from three-dimensional echocardiography by minimization of intensity consistency error.

Authors:  Zhijun Zhang; Muhammad Ashraf; David J Sahn; Xubo Song
Journal:  Med Phys       Date:  2014-05       Impact factor: 4.071

6.  Magnetic resonance elastography as a method for the assessment of effective myocardial stiffness throughout the cardiac cycle.

Authors:  Arunark Kolipaka; Philip A Araoz; Kiaran P McGee; Armando Manduca; Richard L Ehman
Journal:  Magn Reson Med       Date:  2010-09       Impact factor: 4.668

7.  Phase Vector Incompressible Registration Algorithm for Motion Estimation From Tagged Magnetic Resonance Images.

Authors:  Fangxu Xing; Jonghye Woo; Arnold D Gomez; Dzung L Pham; Philip V Bayly; Maureen Stone; Jerry L Prince
Journal:  IEEE Trans Med Imaging       Date:  2017-07-04       Impact factor: 10.048

8.  Incompressible Biventricular Model Construction and Heart Segmentation of 4D Tagged MRI.

Authors:  Albert Montillo; Dimitris Metaxas; Leon Axel
Journal:  Comput Biomech Med Soft Tiss Musculoskelet Syst       Date:  2011-05-04

9.  Rapid D-Affine biventricular cardiac function with polar prediction.

Authors:  Kathleen Gilbert; Brett R Cowan; Avan Suinesiaputra; Christopher Occleshaw; Alistair A Young
Journal:  Med Image Comput Comput Assist Interv       Date:  2014

Review 10.  Using physiologically based models for clinical translation: predictive modelling, data interpretation or something in-between?

Authors:  Steven A Niederer; Nic P Smith
Journal:  J Physiol       Date:  2016-07-03       Impact factor: 5.182

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