title: Quantitative 3D-OCT motion correction with tilt and illumination correction, robust similarity measure and regularization.
abstract: Variability in illumination, signal quality, tilt and the amount of motion pose challenges for post-processing based 3D-OCT motion correction algorithms. We present an advanced 3D-OCT motion correction algorithm using image registration and orthogonal raster scan patterns aimed at addressing these challenges. An intensity similarity measure using the pseudo Huber norm and a regularization scheme based on a pseudo L0.5 norm are introduced. A two-stage registration approach was developed. In the first stage, only axial motion and axial tilt are coarsely corrected. This result is then used as the starting point for a second stage full optimization. In preprocessing, a bias field estimation based approach to correct illumination differences in the input volumes is employed. Quantitative evaluation was performed using a large set of data acquired from 73 healthy and glaucomatous eyes using SD-OCT systems. OCT volumes of both the optic nerve head and the macula region acquired with three independent orthogonal volume pairs for each location were used to assess reproducibility. The advanced motion correction algorithm using the techniques presented in this paper was compared to a basic algorithm corresponding to an earlier version and to performing no motion correction. Errors in segmentation-based measures such as layer positions, retinal and nerve fiber thickness, as well as the blood vessel pattern were evaluated. The quantitative results consistently show that reproducibility is improved considerably by using the advanced algorithm, which also significantly outperforms the basic algorithm. The mean of the mean absolute retinal thickness difference over all data was 9.9 um without motion correction, 7.1 um using the basic algorithm and 5.0 um using the advanced algorithm. Similarly, the blood vessel likelihood map error is reduced to 69% of the uncorrected error for the basic and to 47% of the uncorrected error for the advanced algorithm. These results demonstrate that our advanced motion correction algorithm has the potential to improve the reliability of quantitative measurements derived from 3D-OCT data substantially.
authors.affiliation: Pattern Recognition Lab, University Erlangen-Nürnberg, D-91058 Erlangen, Germany ; School of Advanced Optical Technologies (SAOT), University Erlangen-Nürnberg, D-91058 Erlangen, Germany ; Department of Electrical Engineering and Computer Science and Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
authors.forename: Martin F
authors.initials: MF
authors.lastname: Kraus
authors.affiliation: Department of Electrical Engineering and Computer Science and Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
authors.forename: Jonathan J
authors.initials: JJ
authors.lastname: Liu
authors.affiliation: Pattern Recognition Lab, University Erlangen-Nürnberg, D-91058 Erlangen, Germany.
authors.forename: Julia
authors.initials: J
authors.lastname: Schottenhamml
authors.affiliation: Department of Ophthalmology, UPMC Eye Center, Pittsburgh, PA 15213, USA ; Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, USA.
authors.forename: Chieh-Li
authors.initials: CL
authors.lastname: Chen
authors.affiliation: Pattern Recognition Lab, University Erlangen-Nürnberg, D-91058 Erlangen, Germany ; School of Advanced Optical Technologies (SAOT), University Erlangen-Nürnberg, D-91058 Erlangen, Germany.
authors.forename: Attila
authors.initials: A
authors.lastname: Budai
authors.affiliation: New England Eye Center and Tufts Medical Center, Tufts University, Boston, MA 02116, USA.
authors.forename: Lauren
authors.initials: L
authors.lastname: Branchini
authors.affiliation: Optovue Inc., Fremont, CA 94538, USA ;
authors.forename: Tony
authors.initials: T
authors.lastname: Ko
authors.affiliation: Department of Ophthalmology, UPMC Eye Center, Pittsburgh, PA 15213, USA ; Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, USA.
authors.forename: Hiroshi
authors.initials: H
authors.lastname: Ishikawa
authors.affiliation: Department of Ophthalmology, UPMC Eye Center, Pittsburgh, PA 15213, USA.
authors.forename: Gadi
authors.initials: G
authors.lastname: Wollstein
authors.affiliation: Department of Ophthalmology, UPMC Eye Center, Pittsburgh, PA 15213, USA ; Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, USA.
authors.forename: Joel
authors.initials: J
authors.lastname: Schuman
authors.affiliation: New England Eye Center and Tufts Medical Center, Tufts University, Boston, MA 02116, USA.
authors.forename: Jay S
authors.initials: JS
authors.lastname: Duker
authors.affiliation: School of Advanced Optical Technologies (SAOT), University Erlangen-Nürnberg, D-91058 Erlangen, Germany.
authors.forename: James G
authors.initials: JG
authors.lastname: Fujimoto
authors.affiliation: Pattern Recognition Lab, University Erlangen-Nürnberg, D-91058 Erlangen, Germany ; School of Advanced Optical Technologies (SAOT), University Erlangen-Nürnberg, D-91058 Erlangen, Germany.
authors.forename: Joachim
authors.initials: J
authors.lastname: Hornegger
keywords: (100.2980) Image enhancement; (100.5010) Pattern recognition; (170.4470) Ophthalmology; (170.4500) Optical coherence tomography