Automatic Detection of Bioabsorbable Coronary Stents in IVUS Images Using a Cascade of Classifiers

作者：Rotger David^*; Radeva Petia; Bruining Nico

来源：IEEE Transactions on Information Technology in Biomedicine, 2010, 14(2): 535-537.

DOI：10.1109/TITB.2009.2017528

• Automatic detection
• bioabsorbable
• cascade
• GentleBoost
• intravascular ultrasound (IVUS)
• stent struts

Bioabsorbable drug-eluting coronary stents present a very promising improvement to the common metallic ones solving some of the most important problems of stent implantation: the late restenosis. These stents made of poly-L-lactic acid cause a very subtle acoustic shadow ( compared to the metallic ones) making difficult the automatic detection and measurements in images. In this paper, we propose a novel approach based on a cascade of GentleBoost classifiers to detect the stent struts using structural features to code the information of the different subregions of the struts. A stochastic gradient descent method is applied to optimize the overall performance of the detector. Validation results of struts detection are very encouraging with an average F-measure of 81%.

• 出版日期2010-3