Conference proceeding
Automated detection of wall and plaque borders in intravascular ultrasound images
Proceedings of SPIE, Vol.2168(1), pp.13-22
Medical Imaging 1994: Physiology and Function from Multidimensional Images
05/01/1994
DOI: 10.1117/12.174406
Abstract
Intravascular ultrasound is a minimally invasive tomographic technique which produces 2-D cross-sectional images depicting vessel wall architecture and plaque morphology. Currently, no reliable automated approaches exist that offer segmentation of blood and vascular wall. We have developed a method for automated segmentation of intravascular ultrasound images to differentiate among plaque, wall, and blood. To achieve reliable border detection in noisy intravascular ultrasound images, a priori knowledge is incorporated in the edge detection process using heuristic graph searching. The method was validated using images from two phantoms that were imaged under several pressure conditions. In the first image set, our automated border detection method correctly identified the wall and plaque borders in 69/91 images. In the second image set, our method successfully identified external and internal wall and plaque borders in all 36 images. Lumen cross-sectional areas correlated very well with distending pressure in both sets of images. By comparison with the micrometer determined average wall thickness, mean absolute error of wall thickness was 0.02 +/- 0.01 mm.
Details
- Title: Subtitle
- Automated detection of wall and plaque borders in intravascular ultrasound images
- Creators
- Milan Sonka - University of IowaXiangmin Zhang - University of IowaMaria Siebes - University of IowaRamakrishna R Chada - University of IowaCharles R McKay - Univ. of Iowa (USA)Steve M Collins - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.2168(1), pp.13-22
- Conference
- Medical Imaging 1994: Physiology and Function from Multidimensional Images
- DOI
- 10.1117/12.174406
- ISSN
- 0277-786X
- eISSN
- 1996-756X
- Language
- English
- Date published
- 05/01/1994
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; Fraternal Order of Eagles Diabetes Research Center; Injury Prevention Research Center; Ophthalmology and Visual Sciences
- Record Identifier
- 9984186706302771
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