Intravascular ultrasound (IVUS) imaging is a valuable method of quantifying the degree and severity of coronary atherosclerosis. Development of an automated method of this quantification has been hampered by the difficulty in automating the extraction of the lumen-intima interface and the media-adventitia interface. The authors describe how these interfaces can be automatically extracted using a combination of image processing techniques with the use of adaptive thresholding and a fuzzy logic decision process.
Fully automated media and lumen boundary detection in intravascular ultrasound images
1996-01-01
361824 byte
Conference paper
Electronic Resource
English
Fully Automated Media and Lumen Boundary Detection in Intravascular Ultrasound Images
British Library Conference Proceedings | 1996
|Automatic Segmentation of Vessel Lumen in Intravascular Optical Coherence Tomography Images
British Library Conference Proceedings | 2016
|Surface reconstruction of the coronary arterial walls from intravascular ultrasound images
British Library Online Contents | 2007
|Online Extraction of Lumen Region and Boundary from Endoscopic Images Using a Quad Structure
British Library Conference Proceedings | 1999
|