Automated fiber tracking and tissue characterization of the anterior cruciate ligament with optical coherence tomography

Priya S. Balasubramanian; Jiaqi Guo; Xinwen Yao; Dovina Qu; Helen H. Lu; Christine P. Hendon

doi:10.1117/12.2252916

21 February 2017 Automated fiber tracking and tissue characterization of the anterior cruciate ligament with optical coherence tomography

Priya S. Balasubramanian, Jiaqi Guo, Xinwen Yao, Dovina Qu, Helen H. Lu, Christine P. Hendon

Author Affiliations +

Proceedings Volume 10067, Optical Elastography and Tissue Biomechanics IV; 1006719 (2017) https://doi.org/10.1117/12.2252916
Event: SPIE BiOS, 2017, San Francisco, California, United States

Abstract

The directionality of collagen fibers across the anterior cruciate ligament (ACL) as well as the insertion of this key ligament into bone are important for understanding the mechanical integrity and functionality of this complex tissue. Quantitative analysis of three-dimensional fiber directionality is of particular interest due to the physiological, mechanical, and biological heterogeneity inherent across the ACL-to-bone junction, the behavior of the ligament under mechanical stress, and the usefulness of this information in designing tissue engineered grafts. We have developed an algorithm to characterize Optical Coherence Tomography (OCT) image volumes of the ACL. We present an automated algorithm for measuring ligamentous fiber angles, and extracting attenuation and backscattering coefficients of ligament, interface, and bone regions within mature and immature bovine ACL insertion samples. Future directions include translating this algorithm for real time processing to allow three-dimensional volumetric analysis within dynamically moving samples.

Citation Download Citation

Priya S. Balasubramanian, Jiaqi Guo, Xinwen Yao, Dovina Qu, Helen H. Lu, and Christine P. Hendon "Automated fiber tracking and tissue characterization of the anterior cruciate ligament with optical coherence tomography", Proc. SPIE 10067, Optical Elastography and Tissue Biomechanics IV, 1006719 (21 February 2017); https://doi.org/10.1117/12.2252916

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