Automatic segmentation and visualization of brain MRA images for image-guided neurosurgery

Guang Wei Du, Hui Zhi Cao, Shu Qian Luo

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

In this paper we described an automatic segmentation and visualization method for MRA volume used to image-guided neurosurgery. This method integrated anisotropic diffusion filter, statistical threshold, mathematical morphological operations, and active shape model (ASM) driven by an euclidean distance field of image edge. Several MRA volume datasets have been used to test the proposed algorithm, experimental results showed that the method was effective and robust with intensity in-homogeneities.

Original languageEnglish (US)
Pages (from-to)438-442
Number of pages5
JournalChinese Journal of Biomedical Engineering
Volume24
Issue number4
StatePublished - Aug 1 2005

All Science Journal Classification (ASJC) codes

  • Medicine (miscellaneous)
  • Bioengineering
  • Biomedical Engineering

Fingerprint Dive into the research topics of 'Automatic segmentation and visualization of brain MRA images for image-guided neurosurgery'. Together they form a unique fingerprint.

Cite this