Abstract
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 language | English (US) |
|---|---|
| Pages (from-to) | 299-309 |
| Number of pages | 11 |
| Journal | Computerized Medical Imaging and Graphics |
| Volume | 23 |
| Issue number | 6 |
| DOIs | |
| State | Published - Dec 1999 |
Keywords
- 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