Motion estimation and segmentation of cardiac magnetic resonance images using variational and level set techniques

Author

Carranza, Noemi ; Cristobal, Gabriel ; Santos, Andres ; Ledesma-Carbayo, M. Jesus

Author_Institution

Inst. de Uptica, Madrid, Spain

fYear

2008

fDate

25-29 Aug. 2008

Firstpage

1

Lastpage

5

Abstract

A new method for motion estimation and segmentation of cardiac magnetic resonance images, based on variational and level set techniques is presented. The variational method for motion estimation is based on a total variation approach following a matrix implementation. It has been integrated with a level set method for segmenting the endocardial wall, providing a valuable tool for motion estimation and segmentation together. The results obtained have been compared with a reference method. The robustness and accuracy of these results have been proved.

Keywords

biomedical MRI; cardiology; image segmentation; matrix algebra; medical image processing; motion estimation; variational techniques; cardiac magnetic resonance image motion estimation; cardiac magnetic resonance image segmentation; endocardial wall segmentation; level set technique; matrix implementation; variational method; Computer vision; Equations; Image segmentation; Level set; Motion estimation; Motion segmentation; Optical imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Conference, 2008 16th European

Conference_Location

Lausanne

ISSN

2219-5491

Type

conf

Filename

7080493