Machine learning-based detection and segmentation of bioresorbable vascular scaffolds struts in intravascular OCT images

Yifeng Lu; yihui cao; jing jing; qinhua jin; Yundai Chen; rui zhu; Jianan Li

doi:10.1364/PIBM.2017.W3A.52

International Conference on Photonics and Imaging in Biology and Medicine
(Optica Publishing Group, 2017),
paper W3A.52
•https://doi.org/10.1364/PIBM.2017.W3A.52

Machine learning-based detection and segmentation of bioresorbable vascular scaffolds struts in intravascular OCT images

Yifeng Lu, yihui cao, jing jing, qinhua jin, Yundai Chen, rui zhu, and Jianan Li

International Conference on Photonics and Imaging in Biology and Medicine 2017

Suzhou China
26–28 September 2017
ISBN: 978-1-943580-35-4

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Poster Session (W3A)

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Y. Lu, y. cao, j. jing, q. jin, Y. Chen, r. zhu, and J. Li, "Machine learning-based detection and segmentation of bioresorbable vascular scaffolds struts in intravascular OCT images," in International Conference on Photonics and Imaging in Biology and Medicine, (Optica Publishing Group, 2017), paper W3A.52.

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Abstract

We propose an machine learning-based method for struts detection in IVOCT images. Then, dynamic programing is used for struts segmentation. Based on the above results, struts malapposition analysis is conducted automatically.

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