3-D image analysis of intra-cerebral brain hemorrhage from digitized CT films

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

Research output: Contribution to journalArticlepeer-review

38 Scopus citations


A new 3-D technique for the segmentation and quantification of human spontaneous intra-cerebral brain hemorrhage (ICH) is presented in this paper. The algorithm for ICH primary region segmentation uses the spatially weighted 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 3-D visualization of ICH segmented regions. A computer program is developed for use in the human spontaneous ICH study involving a large number of patients. Experimental measurements and visualization results are presented which were computed on real ICH patient brain data.

Original languageEnglish (US)
Pages (from-to)207-216
Number of pages10
JournalComputer Methods and Programs in Biomedicine
Issue number3
StatePublished - Apr 1995
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Science Applications
  • Health Informatics


  • Brain hemorrhage
  • Brain image segmentation
  • Edema-segmentation
  • Morphology


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