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Biomedical Optics Express

Biomedical Optics Express

  • Editor: Joseph A. Izatt
  • Vol. 3, Iss. 11 — Nov. 1, 2012
  • pp: 2809–2824

Automatic stent detection in intravascular OCT images using bagged decision trees

Hong Lu, Madhusudhana Gargesha, Zhao Wang, Daniel Chamie, Guilherme F. Attizzani, Tomoaki Kanaya, Soumya Ray, Marco A. Costa, Andrew M. Rollins, Hiram G. Bezerra, and David L. Wilson  »View Author Affiliations


Biomedical Optics Express, Vol. 3, Issue 11, pp. 2809-2824 (2012)
http://dx.doi.org/10.1364/BOE.3.002809


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Abstract

Intravascular optical coherence tomography (iOCT) is being used to assess viability of new coronary artery stent designs. We developed a highly automated method for detecting stent struts and measuring tissue coverage. We trained a bagged decision trees classifier to classify candidate struts using features extracted from the images. With 12 best features identified by forward selection, recall (precision) were 90%–94% (85%–90%). Including struts deemed insufficiently bright for manual analysis, precision improved to 94%. Strut detection statistics approached variability of manual analysis. Differences between manual and automatic area measurements were 0.12 ± 0.20 mm2 and 0.11 ± 0.20 mm2 for stent and tissue areas, respectively. With proposed algorithms, analyst time per stent should significantly reduce from the 6–16 hours now required.

© 2012 OSA

OCIS Codes
(100.0100) Image processing : Image processing
(110.4500) Imaging systems : Optical coherence tomography

ToC Category:
Image Processing

History
Original Manuscript: July 9, 2012
Revised Manuscript: September 27, 2012
Manuscript Accepted: October 5, 2012
Published: October 15, 2012

Citation
Hong Lu, Madhusudhana Gargesha, Zhao Wang, Daniel Chamie, Guilherme F. Attizzani, Tomoaki Kanaya, Soumya Ray, Marco A. Costa, Andrew M. Rollins, Hiram G. Bezerra, and David L. Wilson, "Automatic stent detection in intravascular OCT images using bagged decision trees," Biomed. Opt. Express 3, 2809-2824 (2012)
http://www.opticsinfobase.org/boe/abstract.cfm?URI=boe-3-11-2809


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