Conference proceeding
Image segmentation and tissue characterization in three-dimensional intravascular ultrasound images
Proceedings of SPIE, Vol.3034(1), pp.131-137
Medical Imaging 1997: Image Processing
04/25/1997
DOI: 10.1117/12.274102
Abstract
In this paper, we report an automated approach to plaque tissue characterization in three-dimensional intravascular ultrasound images. Our previously reported automated method for coronary wall and plaque segmentation in intravascular ultrasound pullback sequences represent the first step of the method. Tissue characterization into two classes of soft and hard plaque is based on texture analysis and pattern recognition. Texture description features included gray- level-based measures, co-occurrence matrices, run length measures, and fractal-based measures. Performance of the method was assessed in cadaveric coronary arteries by comparison to the observer-defined plaque composition. Overall classification correctness of 90% was achieved.
Details
- Title: Subtitle
- Image segmentation and tissue characterization in three-dimensional intravascular ultrasound images
- Creators
- Xiangmin Zhang - Taligent Inc. (USA)Steven C DeJong - University of IowaCharles R McKay - Univ. of Iowa (USA)Milan Sonka - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.3034(1), pp.131-137
- Conference
- Medical Imaging 1997: Image Processing
- DOI
- 10.1117/12.274102
- ISSN
- 0277-786X
- Language
- English
- Date published
- 04/25/1997
- 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
- 9984186591102771
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