Literature DB >> 16290086

Segmentation of cardiac cine-MR images and myocardial deformation assessment using level set methods.

Y Chenoune1, E Deléchelle, E Petit, T Goissen, J Garot, A Rahmouni.   

Abstract

In this paper, we present an original method to assess the deformations of the left ventricular myocardium on cardiac cine-MRI. First, a segmentation process, based on a level set method is directly applied on a 2D + t dataset to detect endocardial contours. Second, the successive segmented contours are matched using a procedure of global alignment, followed by a morphing process based on a level set approach. Finally, local measurements of myocardial deformations are derived from the previously determined matched contours. The validation step is realized by comparing our results to the measurements achieved on the same patients by an expert using the semi-automated HARP reference method on tagged MR images.

Entities:  

Mesh:

Year:  2005        PMID: 16290086     DOI: 10.1016/j.compmedimag.2005.09.002

Source DB:  PubMed          Journal:  Comput Med Imaging Graph        ISSN: 0895-6111            Impact factor:   4.790


  1 in total

1.  Composite match index with application of interior deformation field measurement from magnetic resonance volumetric images of human tissues.

Authors:  Penglin Zhang; Xubing Zhang; Jiangping Chen
Journal:  Comput Intell Neurosci       Date:  2012-09-06
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.