TY - JOUR
T1 - High-speed collagen fiber modeling and orientation quantification for optical coherence tomography imaging
AU - McLean, James P.
AU - Gan, Yu
AU - Lye, Theresa H.
AU - Qu, Dovina
AU - Lu, Helen H.
AU - Hendon, Christine P.
N1 - Publisher Copyright:
© 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
PY - 2019
Y1 - 2019
N2 - Quantifying collagen fiber architecture has clinical and scientific relevance across a variety of tissue types and adds functionality to otherwise largely qualitative imaging modalities. Optical coherence tomography (OCT) is uniquely suited for this task due to its ability to capture the collagen microstructure over larger fields of view than traditional microscopy. Existing image processing techniques for quantifying fiber architecture, while accurate and effective, are very slow for processing large datasets and tend to lack structural specificity. We describe here a computationally efficient method for quantifying and visualizing collagen fiber organization. The algorithm is demonstrated on swine atria, bovine anterior cruciate ligament, and human cervical tissue samples. Additionally, we show an improved performance for images with crimped fiber textures and low signal to noise when compared to similar methods.
AB - Quantifying collagen fiber architecture has clinical and scientific relevance across a variety of tissue types and adds functionality to otherwise largely qualitative imaging modalities. Optical coherence tomography (OCT) is uniquely suited for this task due to its ability to capture the collagen microstructure over larger fields of view than traditional microscopy. Existing image processing techniques for quantifying fiber architecture, while accurate and effective, are very slow for processing large datasets and tend to lack structural specificity. We describe here a computationally efficient method for quantifying and visualizing collagen fiber organization. The algorithm is demonstrated on swine atria, bovine anterior cruciate ligament, and human cervical tissue samples. Additionally, we show an improved performance for images with crimped fiber textures and low signal to noise when compared to similar methods.
UR - http://www.scopus.com/inward/record.url?scp=85065852699&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85065852699&partnerID=8YFLogxK
U2 - 10.1364/OE.27.014457
DO - 10.1364/OE.27.014457
M3 - Article
C2 - 31163895
AN - SCOPUS:85065852699
SN - 1094-4087
VL - 27
SP - 14457
EP - 14471
JO - Optics Express
JF - Optics Express
IS - 10
ER -