Automatic IVUS segmentation of atherosclerotic plaque with stop & go snake

Authors:
Ellen Brunenberg;Oriol Pujol;Bart ter Haar Romeny;Petia Radeva
Affiliations:
Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands;Computer Vision Center, Universitat Autònoma de Barcelona, Edifici O, Bellaterra (Cerdanyola), Barcelona, Spain;Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands;Computer Vision Center, Universitat Autònoma de Barcelona, Edifici O, Bellaterra (Cerdanyola), Barcelona, Spain
Venue:
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
Year:
2006

Citing 7
Cited 3

Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations

Journal of Computational Physics
Geodesic Active Contours

International Journal of Computer Vision
A decision-theoretic generalization of on-line learning and an application to boosting

Journal of Computer and System Sciences - Special issue: 26th annual ACM symposium on the theory of computing & STOC'94, May 23–25, 1994, and second annual Europe an conference on computational learning theory (EuroCOLT'95), March 13–15, 1995
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns

IEEE Transactions on Pattern Analysis and Machine Intelligence
Intravascular Ultrasound Image Interpretation

ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Fundamentals of Stop and Go active models

Image and Vision Computing
Automatic 3d segmentation of intravascular ultrasound images using region and contour information

MICCAI'05 Proceedings of the 8th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I

Fuzzy Local Binary Patterns for Ultrasound Texture Characterization

ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
A novel 3D segmentation method of the lumen from intravascular ultrasound images

ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
A hybrid plaque characterization method using intravascular ultrasound images

Technology and Health Care

Quantified Score

Hi-index	0.00

Visualization

Abstract

Since the upturn of intravascular ultrasound (IVUS) as an imaging technique for the coronary artery system, much research has been done to simplify the complicated analysis of the resulting images. In this study, an attempt to develop an automatic tissue characterization algorithm for IVUS images was done. The first step was the extraction of texture features. The resulting feature space was used for classification, constructing a likelihood map to represent different coronary plaques. The information in this map was organized using a recently developed [1] geodesic snake formulation, the so-called Stop & Go snake. The novelty of our study lies in this last step, as it was the first time to apply the Stop & Go snake to segment IVUS images.