Title :
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
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;
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-8186-7282-X
DOI :
10.1109/ICPR.1996.547008