Identification of vessel contours from three-dimensional magnetic resonance angiograms

Yung Nien Sun, Shu Chien Huang, Fwn Jeng Chen, Chin Yin Yu, Tong Yee Lee

Research output: Contribution to journalConference articlepeer-review

Abstract

Three-dimensional MR angiogram offers a means for visualizing the entire cerebral vessels from any orientation and for detecting the stenotic lesions. In this paper we proposed a new 3-D tracking method for reconstructing cerebral vessels from MR angiograms. Then, based on the image analysis and visualization results of the vessel trees, various important information can be computed. In vessel extraction, an urchin tracking technique is proposed to extract each segment of the vessel trees. The behaviors of the urchin including pinpricks growing, moving, and sub-urchin generation are designed and implement. Our scheme is also capable of handling the problem of the vessel bifurcation. In vessel display, semi-boundary technique was employed. The system performed in the vessel extraction takes roughly 15 seconds on a PC Pentium 166 for a 256×256×60 8-bits 3-D angiogram. Compared with conventional methods, we proposed a fast and stable method to obtain the 3-D vessel trees.

Original languageEnglish
Pages (from-to)322-329
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3661
Issue numberI
Publication statusPublished - 1999
EventProceedings of the 1999 Medical Imaging - Image Processing - San Diego, CA, USA
Duration: 1999 Feb 221999 Feb 25

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Identification of vessel contours from three-dimensional magnetic resonance angiograms'. Together they form a unique fingerprint.

Cite this