Journal article
Tissue characterization in intravascular ultrasound images
IEEE transactions on medical imaging, Vol.17(6), pp.889-899
12/1998
DOI: 10.1109/42.746622
PMID: 10048846
Abstract
Intravascular ultrasound (IVUS) imaging permits direct visualization of vascular pathology. It has been used to evaluate lumen and plaque in coronary arteries and its clinical significance for guidance of coronary interventions is increasingly recognized. Conventional manual evaluation is tedious and time-consuming. This paper describes a highly automated approach to segmentation of coronary wall and plaque, and determination of plaque composition in individual IVUS images and pullback image sequences. The determined regions of plaque were classified in one of three classes: soft plaque, hard plaque, or hard plaque shadow. The method's performance was assessed in vitro and in vivo in comparison with observer-defined independent standards. In the analyzed images and image sequences, the mean border positioning error of the wall and plaque borders ranged from 0.13-0.17 mm. Plaque classification correctness was 90%.
Details
- Title: Subtitle
- Tissue characterization in intravascular ultrasound images
- Creators
- Xiangmin Zhang - Department of Electrical and Computer Engineering, The University of Iowa, Iowa City 52242, USACharles R McKayMilan Sonka
- Resource Type
- Journal article
- Publication Details
- IEEE transactions on medical imaging, Vol.17(6), pp.889-899
- DOI
- 10.1109/42.746622
- PMID
- 10048846
- NLM abbreviation
- IEEE Trans Med Imaging
- ISSN
- 0278-0062
- eISSN
- 1558-254X
- Publisher
- Institute of Electrical and Electronics Engineers; United States
- Language
- English
- Date published
- 12/1998
- 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
- 9984047869902771
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