A volumetric segmentation technique for diagnosis and surgical planning in lower torso CT images

Author

Newman, Timothy S. ; Tang, Ning ; Bacharach, Stephen ; Choyke, Peter

Author_Institution

Dept. of Comput. Sci., Alabama Univ., Huntsville, AL, USA

Volume

3

fYear

1996

fDate

25-29 Aug 1996

Firstpage

553

Abstract

In this paper we discuss a method for volumetric segmentation that is used by a system we have developed for body tissue (e.g., bones, organs, internal organ structures, and tumours and cysts) segmentation and visualization in high resolution computerized tomographic (CT) images of the lower torso. The system is designed for application to diagnosis and surgical planning and is especially useful for applications involving von Hippel Lindau kidney disease. We focus on the system´s segmentation technique and demonstrate the capabilities of the technique on a number of CT images

Keywords

NMR imaging; computerised tomography; image segmentation; kidney; medical image processing; surgery; NMR images; body tissue; computerized tomography; diagnosis; lower torso CT images; surgical planning; visualization; volumetric segmentation; von Hippel Lindau kidney disease; Application software; Biomedical imaging; Bones; Computed tomography; Data visualization; Diseases; Image segmentation; Neoplasms; Surgery; Torso;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1996., Proceedings of the 13th International Conference on

Conference_Location

Vienna

ISSN

1051-4651

Print_ISBN

0-8186-7282-X

Type

conf

DOI

10.1109/ICPR.1996.547008

Filename

547008