Three-dimensional segmentation of luminal and adventitial borders in serial intravascular ultrasound images

R. Shekhar*, R. M. Cothren, D. G. Vince, S. Chandra, J. D. Thomas, J. F. Cornhill

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

54 Scopus citations


Intravascular ultrasound (IVUS) provides exact anatomy of arteries, allowing accurate quantitative analysis. Automated segmentation of IVUS images is a prerequisite for routine quantitative analyses. We present a new three-dimensional (3D) segmentation technique, called active surface segmentation, which detects luminal and adventitial borders in IVUS pullback examinations of coronary arteries. The technique was validated against expert tracings by computing correlation coefficients (range 0.83-0.97) and William's index values (range 0.37-0.66). The technique was statistically accurate, robust to image artifacts, and capable of segmenting a large number of images rapidly. Active surface segmentation enabled geometrically accurate 3D reconstruction and visualization of coronary arteries and volumetric measurements. Copyright (C) 1999 Elsevier Science Ltd.

Original languageEnglish (US)
Pages (from-to)299-309
Number of pages11
JournalComputerized Medical Imaging and Graphics
Issue number6
StatePublished - Dec 1999


  • Active contours
  • Edge detection
  • Intravascular ultrasound
  • Snakes-based algorithms
  • Three-dimensional segmentation
  • Ultrasound segmentation

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Computer Vision and Pattern Recognition
  • Health Informatics
  • Computer Graphics and Computer-Aided Design


Dive into the research topics of 'Three-dimensional segmentation of luminal and adventitial borders in serial intravascular ultrasound images'. Together they form a unique fingerprint.

Cite this