Literature DB >> 18215836

Contour extraction from cardiac MRI studies using snakes.

S Ranganath1.   

Abstract

The author investigated automatic extraction of left ventricular contours from cardiac magnetic resonance imaging (MRI) studies. The contour extraction algorithms were based on active contour models, or snakes. Based on cardiac MR image characteristics, the author suggested algorithms for extracting contours from these large data sets. The author specifically considered contour propagation methods to make the contours reliable enough despite noise, artifacts, and poor temporal resolution. The emphasis was on reliable contour extraction with a minimum of user interaction. Both spin echo and gradient echo studies were considered. The extracted contours were used for determining quantitative measures for the heart and could also be used for obtaining graphically rendered cardiac surfaces.

Year:  1995        PMID: 18215836     DOI: 10.1109/42.387714

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


  5 in total

1.  A hybrid tissue segmentation approach for brain MR images.

Authors:  Tao Song; Charles Gasparovic; Nancy Andreasen; Jeremy Bockholt; Mo Jamshidi; Roland R Lee; Mingxiong Huang
Journal:  Med Biol Eng Comput       Date:  2006-02-17       Impact factor: 2.602

2.  Comparative evaluation of active contour model extensions for automated cardiac MR image segmentation by regional error assessment.

Authors:  Duy Nguyen; Karen Masterson; Jean-Paul Vallée
Journal:  MAGMA       Date:  2007-03-06       Impact factor: 2.310

3.  DIFFEOMORPHIC ACTIVE CONTOURS.

Authors:  Felipe Arrate; J Tilak Ratnanather; Laurent Younes
Journal:  SIAM J Imaging Sci       Date:  2010-04-30       Impact factor: 2.867

4.  A dual propagation contours technique for semi-automated assessment of systolic and diastolic cardiac function by CMR.

Authors:  Wei Feng; Hosakote Nagaraj; Himanshu Gupta; Steven G Lloyd; Inmaculada Aban; Gilbert J Perry; David A Calhoun; Louis J Dell'Italia; Thomas S Denney
Journal:  J Cardiovasc Magn Reson       Date:  2009-08-13       Impact factor: 5.364

5.  Automatic localization of the left ventricle from cardiac cine magnetic resonance imaging: a new spectrum-based computer-aided tool.

Authors:  Liang Zhong; Jun-Mei Zhang; Xiaodan Zhao; Ru San Tan; Min Wan
Journal:  PLoS One       Date:  2014-04-10       Impact factor: 3.240

  5 in total

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