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Model Based 3D Segmentation and OCT Image Undistortion of Percutaneous Implants

Oliver Müller, Sabine Donner, Tobias Klinder, Ralf Dragon, Ivonne Bartsch, Frank Witte, Alexander Krüger, Alexander Heisterkamp, Bodo Rosenhahn
MICCAI
2011

Abstract

Optical Coherence Tomography (OCT) is a noninvasive im-aging technique which is used here for in vivo biocompatibility studies of percutaneous implants. A prerequisite for a morphometric analysis of the OCT images is the correction of optical distortions caused by the index of refraction in the tissue. We propose a fully automatic approach for 3D segmentation of percutaneous implants using Markov random fields. Refraction correction is done by using the subcutaneous implant base as a prior for model based estimation of the refractive index using a generalized Hough transform. Experiments show the competitiveness of our algorithm towards manual segmentations done by experts.


Link to publisher's page
@InProceedings{eth_biwi_00962,
  author = {Oliver M\"uller and Sabine Donner and Tobias Klinder and Ralf Dragon and Ivonne Bartsch and Frank Witte and Alexander Kr\"uger and Alexander Heisterkamp and Bodo Rosenhahn},
  title = {Model Based 3D Segmentation and OCT Image Undistortion of Percutaneous Implants},
  booktitle = {MICCAI},
  year = {2011},
  keywords = {}
}