Detection and time-tracking of cardiac boundaries in MRI 4D data using snakes

Author

Abrishami, H. ; Maingourd, Y. ; Lerallut, J.-F.

Author_Institution

Univ. de Technol. de Compiegne, France

Volume

2

fYear

1996

fDate

31 Oct-3 Nov 1996

Firstpage

754

Abstract

In this paper we present a method for segmentation of cardiac cavities from MRI images. Our method is a combination of a phased contour propagation algorithm and active contour model. To avoid prohibitive computational cost and to have a less noisy external gradient force, active contour uses a recursive implemented optimal gradient filter. Application of the method is made to a set of 4D MRI volumic data and gives good results in a reasonable processing time

Keywords

biomedical NMR; cardiology; edge detection; image reconstruction; image segmentation; medical image processing; recursive filters; tracking filters; MRI 4D data; active contour model; cardiac boundaries detection; deformable contour model; edge detection; phased contour propagation algorithm; recursive implemented optimal gradient filter; segmentation of cardiac cavities; snake points; time-tracking; tracking algorithm; Active contours; Cardiology; Computational efficiency; Deformable models; Equations; Filters; Heart; Image edge detection; Image segmentation; Magnetic resonance imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE

Conference_Location

Amsterdam

Print_ISBN

0-7803-3811-1

Type

conf

DOI

10.1109/IEMBS.1996.651960

Filename

651960