Literature DB >> 17896588

Left ventricular deformation recovery from cine MRI using an incompressible model.

Arnaud Bistoquet1, John Oshinski, Oskar Skrinjar.   

Abstract

This paper presents a method for 3-D deformation recovery of the left ventricular (LV) wall from anatomical cine magnetic resonance imaging (MRI). The method is based on a deformable model that is incompressible, a desired property since the myocardium has been shown to be nearly incompressible. The LV wall needs to be segmented in an initial frame after which the method automatically determines the deformation everywhere in the LV wall throughout the cardiac cycle. Two studies were conducted to validate the method. In the first study, the deformation recovered from a 3-D anatomical cine MRI of a healthy volunteer was compared against the manual segmentation of the LV wall and against the corresponding 3-D tagged cine MRI. The average volume agreement between the model and the manual segmentation had a false positive rate of 3%, false negative rate of 3%, and true positive rate of 93%. The average distance between the model and manually determined intersections of perpendicular tag planes was 1.6 mm (1.1 pixel). Another set of 3-D anatomical and tagged MRI scans was taken of the same volunteer four months later. The method was applied to the second set and the recovered deformation was very similar to the one obtained from the first set. In the second study, the method was applied to 3-D anatomical cine MRI scans of three patients with ventricular dyssynchrony and three age-matched healthy volunteers. The LV wall deformations recovered for the three normals agreed well and the recovered strains were similar to those reported by other researchers for normal subjects. Strains and displacements of the three patients were clearly smaller than those of the three normals indicating reduced cardiac function. The deformation recovered for the three normals and the three patients was validated against manual segmentation and corresponding tag cine MRI scans and the agreement was similar to that of the first validation study.

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Year:  2007        PMID: 17896588     DOI: 10.1109/TMI.2007.903693

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  20 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

2.  Cardiac motion and strain detection using 4D CT images: comparison with tagged MRI, and echocardiography.

Authors:  Vahid Tavakoli; Nima Sahba
Journal:  Int J Cardiovasc Imaging       Date:  2013-10-09       Impact factor: 2.357

3.  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

4.  Incompressible cardiac motion estimation of the left ventricle using tagged MR images.

Authors:  Xiaofeng Liu; Khaled Z Abd-Elmoniem; Jerry L Prince
Journal:  Med Image Comput Comput Assist Interv       Date:  2009

5.  Regional left ventricular endocardial strains estimated from low-dose 4DCT: Comparison with cardiac magnetic resonance feature tracking.

Authors:  Ashish Manohar; Gabrielle M Colvert; Juan E Ortuño; Zhennong Chen; James Yang; Brendan T Colvert; W Patricia Bandettini; Marcus Y Chen; María J Ledesma-Carbayo; Elliot R McVeigh
Journal:  Med Phys       Date:  2022-07-06       Impact factor: 4.506

6.  Semiautomated biventricular segmentation in three-dimensional echocardiography by coupled deformable surfaces.

Authors:  Jørn Bersvendsen; Fredrik Orderud; Øyvind Lie; Richard John Massey; Kristian Fosså; Raúl San José Estépar; Stig Urheim; Eigil Samset
Journal:  J Med Imaging (Bellingham)       Date:  2017-05-24

7.  4-D cardiac MR image analysis: left and right ventricular morphology and function.

Authors:  Honghai Zhang; Andreas Wahle; Ryan K Johnson; Thomas D Scholz; Milan Sonka
Journal:  IEEE Trans Med Imaging       Date:  2009-08-25       Impact factor: 10.048

8.  Left ventricular extracellular volume fraction and atrioventricular interaction in hypertension.

Authors:  Jonathan C L Rodrigues; Tamas Erdei; Amardeep Ghosh Dastidar; Gergley Szantho; Amy E Burchell; Laura E K Ratcliffe; Emma C Hart; Angus K Nightingale; Julian F R Paton; Nathan E Manghat; Mark C K Hamilton
Journal:  Eur Radiol       Date:  2018-09-19       Impact factor: 5.315

9.  Noctural dipping status and left ventricular hypertrophy: A cardiac magnetic resonance imaging study.

Authors:  Jonathan C L Rodrigues; Antonio Matteo Amadu; Amardeep Ghosh Dastidar; Iwan Harries; Amy E Burchell; Laura E K Ratcliffe; Emma C Hart; Mark C K Hamilton; Julian F R Paton; Angus K Nightingale; Nathan E Manghat
Journal:  J Clin Hypertens (Greenwich)       Date:  2018-03-08       Impact factor: 3.738

10.  Symmetric and transitive registration of image sequences.

Authors:  Oskar Skrinjar; Arnaud Bistoquet; Hemant Tagare
Journal:  Int J Biomed Imaging       Date:  2009-03-24
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