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Fast semi-automatic techniques for segmentation of cranial vessels in CT angiographicstudies

  • The University of Chicago
  • University of Münster

Research output: Contribution to journalConference articlepeer-review

Abstract

We have developed a technique for fast and reliable, computer-assisted segmentation of the vessels, thereby obviating time-consuming manual segmentation of intracranial vessels for creation of a 3D model. The high quality of the bone segmentation greatly facilitates the segmentation of the vascular structures. As a result, computer tomography angiography examinations may be a viable alternative to a more invasive and expensive conventional angiography techniques used in the diagnosis of the pathology of intracranial vessels, especially in the cerebrovascular emergencies.

Original languageEnglish
Pages (from-to)1047-1051
Number of pages5
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3338
DOIs
StatePublished - 1998
EventMedical Imaging 1998: Image Processing - San Diego, CA, United States
Duration: Feb 23 1998Feb 23 1998

Keywords

  • Angiography
  • Bone
  • Computed tomography
  • Image processing
  • Intracranial vessels
  • Observer study
  • Segmentation
  • Three-dimensional visualization

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