Literature DB >> 18215810

Segmentation of cardiac cine MR images for extraction of right and left ventricular chambers.

A Goshtasby1, D A Turner.   

Abstract

A two-stage algorithm for extraction of the ventricular chambers (endocardial surfaces) in flow-enhanced magnetic resonance images is described. In the first stage, the approximate locations and sizes of the endocardial surfaces are determined by intensity thresholding. In the second stage, points on each approximated surface are repositioned to nearest locally maximum gradient magnitude points and a generalized cylinder is fitted to them. Examples of ventricular chambers in cine MR images determined by this algorithm are presented.

Year:  1995        PMID： 18215810     DOI： 10.1109/42.370402

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


  15 in total

Review 1.  Content-based retrieval in picture archiving and communication systems.

Authors:  E A El-Kwae; H Xu; M R Kabuka
Journal:  J Digit Imaging       Date:  2000-05       Impact factor: 4.056

2.  Automatic cardiac ventricle segmentation in MR images: a validation study.

Authors:  Damien Grosgeorge; Caroline Petitjean; Jérôme Caudron; Jeannette Fares; Jean-Nicolas Dacher
Journal:  Int J Comput Assist Radiol Surg       Date:  2010-09-17       Impact factor: 2.924

3.  Automatic detection of cardiac contours on MR images using fuzzy logic and dynamic programming.

Authors:  A Lalande; L Legrand; P M Walker; M C Jaulent; F Guy; Y Cottin; F Brunotte
Journal:  Proc AMIA Annu Fall Symp       Date:  1997

4.  A cascaded FC-DenseNet and level set method (FCDL) for fully automatic segmentation of the right ventricle in cardiac MRI.

Authors:  Yang Luo; Lisheng Xu; Lin Qi
Journal:  Med Biol Eng Comput       Date:  2021-02-09       Impact factor: 2.602

5.  Cardiac image segmentation from cine cardiac MRI using graph cuts and shape priors.

Authors:  Dwarikanath Mahapatra
Journal:  J Digit Imaging       Date:  2013-08       Impact factor: 4.056

6.  Automated detection of the left ventricular region in magnetic resonance images by Fuzzy c-Means model.

Authors: 
Journal:  Int J Card Imaging       Date:  1997-08

7.  Improved approach to quantitative cardiac volumetrics using automatic thresholding and manual trimming: a cardiovascular MRI study.

Authors:  Geetha Rayarao; Robert W W Biederman; Ronald B Williams; June A Yamrozik; Richard Lombardi; Mark Doyle
Journal:  J Med Imaging (Bellingham)       Date:  2018-02-14

8.  Image-based clustering and connected component labeling for rapid automated left and right ventricular endocardial volume extraction and segmentation in full cardiac cycle multi-frame MRI images of cardiac patients.

Authors:  Ayush Goyal
Journal:  Med Biol Eng Comput       Date:  2019-01-28       Impact factor: 2.602

9.  Computer Vision Techniques for Transcatheter Intervention.

Authors:  Feng Zhao; Xianghua Xie; Matthew Roach
Journal:  IEEE J Transl Eng Health Med       Date:  2015-06-18       Impact factor: 3.316

10.  Development and clinical validation of a hybrid method for semiautomated left ventricle endocardial and epicardial boundary extraction on cine-magnetic resonance images.

Authors:  Mahammed Messadi; Abdelhafid Bessaid; Denis Mariano-Goulart; Fayçal Ben Bouallègue
Journal:  J Med Imaging (Bellingham)       Date:  2018-04-11
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