International Journal of Computer Vision
Automated IVUS Contour Detection Using Intesity Features and Radial Basis Function Approximation
CBMS '07 Proceedings of the Twentieth IEEE International Symposium on Computer-Based Medical Systems
Solving multiclass learning problems via error-correcting output codes
Journal of Artificial Intelligence Research
ECOC Random Fields for Lumen Segmentation in Radial Artery IVUS Sequences
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
A Meta-Learning Approach to Conditional Random Fields Using Error-Correcting Output Codes
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
An automated method for lumen and media-adventitia border detection in a sequence of IVUS frames
IEEE Transactions on Information Technology in Biomedicine
Shape-Driven Segmentation of the Arterial Wall in Intravascular Ultrasound Images
IEEE Transactions on Information Technology in Biomedicine
Automatic non-rigid temporal alignment of IVUS sequences
MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
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In this paper we present a methodology for the automatic detection of media-adventitia border (MAb) in Intravascular Ultrasound. A robust computation of the MAb is achieved through a holistic approach where the position of the MAb with respect to other tissues of the vessel is used. A learned quality measure assures that the resulting MAb is optimal with respect to all other tissues. The mean distance error computed through a set of 140 images is 0.2164 (±0.1326) mm.