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Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07)
Automated IVUS Contour Detection Using Intesity Features and Radial Basis Function Approximation
Maribor, Slovenia
June 20-June 22
ISBN: 0-7695-2905-4
ASCII Text
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Maria Papadogiorgaki, Vasileios Mezaris, Yiannis S. Chatzizisis, George D. Giannoglou, Ioannis Kompatsiaris, "Automated IVUS Contour Detection Using Intesity Features and Radial Basis Function Approximation," Computer-Based Medical Systems, IEEE Symposium on, pp. 183-188, Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07), 2007.
 
 
BibTex
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@article{ 10.1109/CBMS.2007.27,
author = {Maria Papadogiorgaki and Vasileios Mezaris and Yiannis S. Chatzizisis and George D. Giannoglou and Ioannis Kompatsiaris},
title = {Automated IVUS Contour Detection Using Intesity Features and Radial Basis Function Approximation},
journal ={Computer-Based Medical Systems, IEEE Symposium on},
volume = {0},
year = {2007},
issn = {1063-7125},
pages = {183-188},
doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2007.27},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer-Based Medical Systems, IEEE Symposium on
TI - Automated IVUS Contour Detection Using Intesity Features and Radial Basis Function Approximation
SN - 1063-7125
SP183
EP188
A1 - Maria Papadogiorgaki,
A1 - Vasileios Mezaris,
A1 - Yiannis S. Chatzizisis,
A1 - George D. Giannoglou,
A1 - Ioannis Kompatsiaris,
PY - 2007
KW - null
VL - 0
JA - Computer-Based Medical Systems, IEEE Symposium on
ER -
 
Maria Papadogiorgaki, Informatics and Telematics Institute, Greece
Vasileios Mezaris, Informatics and Telematics Institute, Greece
Yiannis S. Chatzizisis, AHEPA University Hospital Aristotle University Medical School, Greece
George D. Giannoglou, AHEPA University Hospital Aristotle University Medical School, Greece
Ioannis Kompatsiaris, Informatics and Telematics Institute, Greece
Intravascular ultrasound (IVUS) constitutes a valuable technique for the diagnosis and management of coronary atherosclerosis. The detection of lumen and media-adventitia borders in IVUS images represents a necessary step in the utilization of the IVUS data for the reliable quantitative assessment of atherosclerotic lesions. In this paper, a fully automated technique for the detection of lumen and media-adventitia boundaries is developed. This comprises two different steps for contour initialization, one for each corresponding contour of interest, and a procedure for the refinement of the detected contours based on Radial Basis Function approximation. The proposed approach is shown to be capable of performing quick and reliable automated segmentation of IVUS images.
Citation:
Maria Papadogiorgaki, Vasileios Mezaris, Yiannis S. Chatzizisis, George D. Giannoglou, Ioannis Kompatsiaris, "Automated IVUS Contour Detection Using Intesity Features and Radial Basis Function Approximation," cbms, pp.183-188, Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07), 2007
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