2013
DOI: 10.1364/boe.4.002150
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Extracting three-dimensional orientation and tractography of myofibers using optical coherence tomography

Abstract: Abnormal changes in orientation of myofibers are associated with various cardiac diseases such as arrhythmia, irregular contraction, and cardiomyopathy. To extract fiber information, we present a method of quantifying fiber orientation and reconstructing three-dimensional tractography of myofibers using optical coherence tomography (OCT). A gradient based algorithm was developed to quantify fiber orientation in three dimensions and particle filtering technique was employed to track myofibers. Prior to image pr… Show more

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Cited by 48 publications
(27 citation statements)
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“…Both samples were taken within 5 mm of the internal os. The OCT signal was conditioned based on a previously published algorithm for heart tissue (Fleming et al, 2008; Gan and Fleming, 2013) and optimized for cervical collagen (Gan et al, 2014). …”
Section: Methodsmentioning
confidence: 99%
“…Both samples were taken within 5 mm of the internal os. The OCT signal was conditioned based on a previously published algorithm for heart tissue (Fleming et al, 2008; Gan and Fleming, 2013) and optimized for cervical collagen (Gan et al, 2014). …”
Section: Methodsmentioning
confidence: 99%
“…This method has been previously applied to imaging fiber orientation in OCT intensity images [79]. The two-dimensional gradient at each image pixel was first computed using a 3 × 3 Sobel edge detector.…”
Section: Methodsmentioning
confidence: 99%
“…This was enabled by an image-stitching algorithm to increase the field of view (FOV), encompassing entire axial slices (~3 cm × 3 cm), which allowed for assessment of collagen fiber orientation trends and for identification of unique anatomical regions. Our previous methods for fiber orientation estimation [24, 25] targeted extracting dominant fiber orientation in a subregion, however it could not provide detailed information about non-dominant orientations, resulting inaccuracy in the evaluation of fiber dispersion.…”
Section: Introductionmentioning
confidence: 99%