Image analysis and 3-D visualization of intracerebral brain hemorrhage

Atam P. Dhawan, Sven Loncaric, Kari Hitt, Joseph Broderick, Thomas Brott

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

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 interactive morphological processing of the ICH brain data. A volume rendering technique is used for the effective 3D visualisation of ICH segmented regions. A computer programme is developed for use in the human spontaneous ICH study involving large number of patients. Some experimental measurements and visualisation results are presented which were computed on real ICH patient brain data.

Original languageEnglish (US)
Title of host publicationIEEE Symposium on Computer-Based Medical Systems
Editors Anon
PublisherPubl by IEEE
Pages140-145
Number of pages6
ISBN (Print)0818637528
StatePublished - Dec 1 1993
Externally publishedYes
EventProceedings of the 6th Annual IEEE Symposium on Computer-Based Medical Systems - Ann Arbor, MI, USA
Duration: Jun 13 1993Jun 16 1993

Publication series

NameIEEE Symposium on Computer-Based Medical Systems

Other

OtherProceedings of the 6th Annual IEEE Symposium on Computer-Based Medical Systems
CityAnn Arbor, MI, USA
Period6/13/936/16/93

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

Fingerprint

Dive into the research topics of 'Image analysis and 3-D visualization of intracerebral brain hemorrhage'. Together they form a unique fingerprint.

Cite this