Image analysis and 3-D visualization of intracerebral brain hemorrhage

Author

Dhawan, A.P. ; Loncaric, Sven ; Hitt, Kari ; Broderick, J. ; Brott, Thomas

Author_Institution

Dept. of Electr. & Comput. Eng., Cincinnati Univ., OH, USA

fYear

1993

fDate

13-16 Jun 1993

Firstpage

140

Lastpage

145

Abstract

A new 3D technique for the human spontaneous intracerebral brain hemorrhage (ICH) region segmentation and quantification is presented in this paper. The ICH primary region segmentation algorithm uses the K-means histogram-based clustering algorithm. The ICH edema region segmentation algorithm employs an iterative morphological processing of the ICH brain data. A volume rendering technique is used for the effective 3D visualization of ICH segmented regions. A computer program is developed for use in the human spontaneous ICH study involving large number of patients. Some experimental measurements and visualization results are presented which were computed on real ICH patient brain data

Keywords

data visualisation; image segmentation; medical image processing; solid modelling; 3D visualization; K-means histogram-based clustering; brain data; image analysis; iterative morphological processing; region quantification; region segmentation; spontaneous intracerebral brain hemorrhage; volume rendering; Clustering algorithms; Computed tomography; Data visualization; Hemorrhaging; Humans; Image analysis; Image segmentation; Interpolation; Iterative algorithms; Nervous system;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer-Based Medical Systems, 1993. Proceedings of Sixth Annual IEEE Symposium on

Conference_Location

Ann Arbor, MI

Print_ISBN

0-8186-3752-8

Type

conf

DOI

10.1109/CBMS.1993.262976

Filename

262976