A Caltech Library Service

Polymeric endovascular strut and lumen detection algorithm for intracoronary optical coherence tomography images

Amrute, Junedh M. and Athanasiou, Lambros S. and Rikhtegar, Farhad and de la Torre Hernández, José M. and García Camarero, Tamara and Edelman, Elazer R. (2018) Polymeric endovascular strut and lumen detection algorithm for intracoronary optical coherence tomography images. Journal of Biomedical Optics, 23 (3). Art. No. 036010. ISSN 1083-3668. PMCID PMC5859384.

[img] PDF - Published Version
See Usage Policy.


Use this Persistent URL to link to this item:


Polymeric endovascular implants are the next step in minimally invasive vascular interventions. As an alternative to traditional metallic drug-eluting stents, these often-erodible scaffolds present opportunities and challenges for patients and clinicians. Theoretically, as they resorb and are absorbed over time, they obviate the long-term complications of permanent implants, but in the short-term visualization and therefore positioning is problematic. Polymeric scaffolds can only be fully imaged using optical coherence tomography (OCT) imaging—they are relatively invisible via angiography—and segmentation of polymeric struts in OCT images is performed manually, a laborious and intractable procedure for large datasets. Traditional lumen detection methods using implant struts as boundary limits fail in images with polymeric implants. Therefore, it is necessary to develop an automated method to detect polymeric struts and luminal borders in OCT images; we present such a fully automated algorithm. Accuracy was validated using expert annotations on 1140 OCT images with a positive predictive value of 0.93 for strut detection and an R^2 correlation coefficient of 0.94 between detected and expert-annotated lumen areas. The proposed algorithm allows for rapid, accurate, and automated detection of polymeric struts and the luminal border in OCT images.

Item Type:Article
Related URLs:
URLURL TypeDescription CentralArticle
Additional Information:© 2018 Society of Photo-Optical Instrumentation Engineers. Paper 170542RRR received Aug. 15, 2017; accepted for publication Feb. 23, 2018; published online Mar. 20, 2018. This project was supported in part by funds from the Caltech Franz and Anne Nierlich Summer Undergraduate Research Fellowship awarded to J.M.A., George & Marie Vergottis Foundation Fellowship at Harvard Medical School awarded to L.A., and R01 support from the National Institutes of Health (GM 49039) awarded to F.R. and E.R.E. There are no conflicts of interest.
Funding AgencyGrant Number
Caltech Summer Undergraduate Research Fellowship (SURF)UNSPECIFIED
Harvard UniversityUNSPECIFIED
Subject Keywords:polymeric scaffolds; optical coherence tomography; strut; lumen; bioresorbable vascular scaffold
Issue or Number:3
PubMed Central ID:PMC5859384
Record Number:CaltechAUTHORS:20180327-142428585
Persistent URL:
Official Citation:Junedh M. Amrute, Lambros S. Athanasiou, Farhad Rikhtegar, José M. de la Torre Hernández, Tamara García Camarero, Elazer R. Edelman, "Polymeric endovascular strut and lumen detection algorithm for intracoronary optical coherence tomography images," Journal of Biomedical Optics 23(3), 036010 (20 March 2018). Submission: Received 15 August 2017; Accepted 23 February 2018
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:85466
Deposited By: Tony Diaz
Deposited On:28 Mar 2018 15:05
Last Modified:03 Oct 2019 19:31

Repository Staff Only: item control page