Title :
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
fDate :
31 Oct-3 Nov 1996
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;
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
DOI :
10.1109/IEMBS.1996.651960
