Model-based segmentation of short-axis MR cardiac images

Spreeuwers, L.J. and Breeuwer, M. (2005) Model-based segmentation of short-axis MR cardiac images. In: CARS 2005: Computer Assisted Radiology and Surgery.

PDF
Restricted to UT campus only: Request a copy
130Kb

Abstract:	Reliable automatic segmentation of MR cardiac images is still an important problem in medical image processing. Although image data quality has improved considerably during the last years, this segmentation is still considered a difficult problem. Manual segmentation is hardly an option as this is extremely labour intensive. This paper describes a combined bottom-up and top-down approach to the problem of automatic segmentation of short-axis MR cardiac images, i.e. extract the boundaries of the left and right ventricle and the myocardium. The method is evaluated using 69 datasets for which manual segmentations were available.
Item Type:	Conference or Workshop Item
Faculty:	Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:	Signals and Systems (SAS)
Link to this item:	http://purl.utwente.nl/publications/65086
Official URL:	http://dx.doi.org/10.1016/j.ics.2005.03.311
Export this item as:	BibTeX EndNote HTML Citation Reference Manager

Show download statistics for this publication

Repository Staff Only: item control page