Dynamic contour model for aligning and segmenting OCT B-scans

Thomas Martini Jorgensen; Jakob Thomadsen; Lars Thrane; Peter Eskil Andersen

doi:10.1117/12.592715

13 April 2005 Dynamic contour model for aligning and segmenting OCT B-scans

Thomas Martini Jorgensen, Jakob Thomadsen, Lars Thrane, Peter Eskil Andersen

Proceedings Volume 5690, Coherence Domain Optical Methods and Optical Coherence Tomography in Biomedicine IX; (2005) https://doi.org/10.1117/12.592715
Event: SPIE BiOS, 2005, San Jose, CA, United States

Abstract

Aligning A-scans from OCT B-scan images are of relevance in a number of applications. One important case is when producing an average A-scan profile over a given sample region to suppress the speckle noise in the reflectance profile. From fitting the average A-scan curve to a mathematical model one can then extract optical parameters, from which it might be possible for instance to discriminate between healthy and pathologic tissue. Aligning B-scans may also be appropriate in order to present OCT images in a visually consistent way appropriate for comparison between corresponding images such as OCT images of the retinal layers. Alignment is most often based on tracking the position of the boundary curve that has to be aligned. Carrying out this tracking manually is tedious when dealing with many images and it is more desirable to perform it using image-tracking algorithms. Dynamic contour models or image snakes are appropriate tools for carrying out this task. We illustrate the use of dynamic programming implementations for contour tracking and subsequent alignment and compare with the result of doing the tracking by hand. In addition we illustrate the use of contour tracking for measuring the thickness of the nerve fiber layer in retinal OCT images. With the illustrated algorithms we have produced software modules for assisting medical doctors in handling the OCT data obtained using commercial equipment.

Citation Download Citation

Thomas Martini Jorgensen, Jakob Thomadsen, Lars Thrane, and Peter Eskil Andersen "Dynamic contour model for aligning and segmenting OCT B-scans", Proc. SPIE 5690, Coherence Domain Optical Methods and Optical Coherence Tomography in Biomedicine IX, (13 April 2005); https://doi.org/10.1117/12.592715

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