Automated segmentation of cardiac MR images

Author

Bister, M. ; Taeymans, Y. ; Cornelis, J.

Author_Institution

Free Univ. of Brussels, Belgium

fYear

1989

fDate

19-22 Sep 1989

Firstpage

215

Lastpage

218

Abstract

Two different algorithms were tested for the segmentation of cardiac MR (magnetic resonance) images. The first is the pyramid segmentation scheme, which was finally rejected owing to severe inherent shortcomings. The second is called the cavity detector and is based on classical image processing techniques. It is especially sensitive to compact objects in the image, even when these are not completely surrounded by walls. The second scheme is robust with respect to changes in the (automatically or a priori defined) segmentation parameters (such as threshold value or mask for distance transform) and has been validated by comparison with manual segmentation by a medical expert

Keywords

biomedical NMR; cardiology; computerised picture processing; medical diagnostic computing; algorithms; automated image segmentation; cardiac MR images; cavity detector; compact objects; distance transform; manual segmentation; medical diagnostic imaging; pyramid segmentation scheme; Detectors; Filtering; Heart valves; Image analysis; Image converters; Image sampling; Image segmentation; Magnetic resonance imaging; Object detection; Spatial resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology 1989, Proceedings.

Conference_Location

Jerusalem

Print_ISBN

0-8186-2114-1

Type

conf

DOI

10.1109/CIC.1989.130525

Filename

130525