Automatic microchannel detection using deep learning in intravascular optical coherence tomography images

Juhwan Lee; Justin N. Kim; Gabriel T. R. Pereira; Yazan Gharaibeh; Chaitanya Kolluru; Vladislav N. Zimin; Luis A. P. Dallan; Issam K. Motairek; Ammar Hoori; Giulio Guagliumi; Hiram G. Bezerra; David L. Wilson

doi:10.1117/12.2612697

4 April 2022 Automatic microchannel detection using deep learning in intravascular optical coherence tomography images

Juhwan Lee, Justin N. Kim, Gabriel T. R. Pereira, Yazan Gharaibeh, Chaitanya Kolluru, Vladislav N. Zimin, Luis A. P. Dallan, Issam K. Motairek, Ammar Hoori, Giulio Guagliumi, Hiram G. Bezerra, David L. Wilson

Author Affiliations +

Proceedings Volume 12034, Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling; 120340S (2022) https://doi.org/10.1117/12.2612697
Event: SPIE Medical Imaging, 2022, San Diego, California, United States

Abstract

We developed a new method for automated detection of microchannel in intravascular optical coherence tomography images. The proposed method includes three main steps including pre-processing, identification of microchannel candidates, and classification of microchannel. Our method provided excellent segmentation of microchannel with a Dice coefficient of 0.811, sensitivity of 92.4%, and specificity of 99.9%. Our method has great potential to enable highly automated, objective, repeatable, and comprehensive evaluations of vulnerable plaques and treatments. We believe that this method is promising for both research and clinical applications.

Conference Presentation

Citation Download Citation

Juhwan Lee, Justin N. Kim, Gabriel T. R. Pereira, Yazan Gharaibeh, Chaitanya Kolluru, Vladislav N. Zimin, Luis A. P. Dallan, Issam K. Motairek, Ammar Hoori, Giulio Guagliumi, Hiram G. Bezerra, and David L. Wilson "Automatic microchannel detection using deep learning in intravascular optical coherence tomography images", Proc. SPIE 12034, Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling, 120340S (4 April 2022); https://doi.org/10.1117/12.2612697

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available