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9 March 2020 A method for quantitative three-dimensional fiber tractography using optical coherence tomography (Conference Presentation)
James P. McLean, Shuyang Fang, Kristin M. Myers, Christine P. Hendon
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Proceedings Volume 11245, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXVII; 112450D (2020) https://doi.org/10.1117/12.2544852
Event: SPIE BiOS, 2020, San Francisco, California, United States
Abstract
Spectral Domain Optical Coherence Tomography (SD-OCT) is an effective tool for volumetric imaging of collagen fiber networks, but current processing algorithms struggle to create three-dimensional models of these networks due to limited contrast and tissue complexity. We present an automated image processing algorithm that overcomes these challenges to enable quantitative visualization of three-dimensional fiber networks from OCT volumes. Samples are processed by segmenting the tissue volume surface and dividing the sample into “processing patches” which are optimally sized and oriented to fit an arbitrary volume. Fiber orientation analysis and particle filtering are used to create orientation-encoded fiber tractography. The method is demonstrated on five ex-vivo human uterine samples which were imaged as mosaic volumes using a commercial SD-OCT system, providing the first view of the three-dimensional structure of the human uterine collagen fiber network on a centimeter scale.
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James P. McLean, Shuyang Fang, Kristin M. Myers, and Christine P. Hendon "A method for quantitative three-dimensional fiber tractography using optical coherence tomography (Conference Presentation)", Proc. SPIE 11245, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXVII, 112450D (9 March 2020); https://doi.org/10.1117/12.2544852
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KEYWORDS
3D image processing
Optical coherence tomography
3D modeling
Collagen
Image processing
Optical filters
Structured optical fibers
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