High-speed automatic segmentation of intravascular stent struts in optical coherence tomography images

Recently, Optical Coherence Tomography (OCT) has become one of the preferred clinical techniques for intracoronary diagnostic imaging. Thanks to its high resolution imaging capability, the OCT technique allows to identify microscopic features associated with various types of coronary plaque and to track of stent position, malaposition and neo-intimal tissue growth after stent implantation. Accurate visualization of stent struts can help to examine the status of implanted stents potentially leading to proper treatment of the coronary artery disease. However, unfortunately, current stent identification involves time-consuming segmentation algorithms sometimes requiring labor-intensive manual analysis process. To resolve the problem, we propose a high-speed automatic segmentation algorithm of intravascular stent struts in OCT images. Unlike the other "automatic" stent segmentation algorithms, which are mainly based on time-consuming machine learning algorithms with manual addition and removal of stent struts for correction during the analysis process, our algorithm does not require any manual adjustments of stent struts. Our algorithm first analyzes 10 consecutive crosssectional OCT images to take boundary information into account to enhance the accuracy of guide-wire segmentation and lumen segmentation. Then, it performs stent segmentation by automatically eliminating guide-wire signals using the previous segmentation results. The implementation of our algorithm uses the Intel(R) IPP library on CPU and the CUDA technology on GPU, which achieves the average analysis time of 0.28 s/frame and the detection rate ranging from 84% to 88.6% for about 120 continuous images per patient. As such, the proposed algorithm is robust and fast enough to be integrated in clinical routine.

[1]  Jennifer K Barton,et al.  An automatic algorithm for detecting stent endothelialization from volumetric optical coherence tomography datasets , 2008, Physics in medicine and biology.

[2]  Johan H. C. Reiber,et al.  Automatic stent strut detection in intravascular optical coherence tomographic pullback runs , 2012, The International Journal of Cardiovascular Imaging.

[3]  Evelyn Regar,et al.  Automated three-dimensional detection of intracoronary stent struts in optical coherence tomography images , 2011, 2011 Computing in Cardiology.

[4]  David L Wilson,et al.  Semiautomatic segmentation and quantification of calcified plaques in intracoronary optical coherence tomography images. , 2010, Journal of biomedical optics.

[5]  B E Bouma,et al.  Images in cardiovascular medicine. Catheter-based optical imaging of a human coronary artery. , 1996, Circulation.

[6]  W. Desmet,et al.  Automatic segmentation of in-vivo intra-coronary optical coherence tomography images to assess stent strut apposition and coverage , 2012, The International Journal of Cardiovascular Imaging.

[7]  B E Bouma,et al.  Imaging of coronary artery microstructure (in vitro) with optical coherence tomography. , 1996, The American journal of cardiology.

[8]  N. Otsu A threshold selection method from gray level histograms , 1979 .

[9]  Gozde Unal,et al.  Stent implant follow-up in intravascular optical coherence tomography images , 2010, The International Journal of Cardiovascular Imaging.

[10]  E. Halpern,et al.  Evaluation of intracoronary stenting by intravascular optical coherence tomography , 2003, Heart.

[11]  Stavros Tsantis,et al.  Automatic vessel lumen segmentation and stent strut detection in intravascular optical coherence tomography. , 2011, Medical physics.

[12]  Peter Barlis,et al.  Intravascular optical coherence tomography: optimisation of image acquisition and quantitative assessment of stent strut apposition. , 2007, EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology.

[13]  Andrew M. Rollins,et al.  Single-shot Stent Segmentation in Intravascular OCT Pullbacks , 2012 .

[14]  I. Jang,et al.  Coronary stent malapposition as a result of a post-stenotic aneurysm detected by optical coherence tomography. , 2006, The Journal of invasive cardiology.

[15]  J. Schuman,et al.  Optical coherence tomography. , 2000, Science.