Conference proceeding
Registration of 3D spectral OCT volumes combining ICP with a graph-based approach
Proceedings of SPIE, Vol.8314(1), pp.83141A-83141A-9
Medical Imaging 2012: Image Processing
02/10/2012
DOI: 10.1117/12.911104
Abstract
The introduction of spectral Optical Coherence Tomography (OCT) scanners has enabled acquisition of high
resolution, 3D cross-sectional volumetric images of the retina. 3D-OCT is used to detect and manage eye diseases
such as glaucoma and age-related macular degeneration. To follow-up patients over time, image registration is
a vital tool to enable more precise, quantitative comparison of disease states. In this work we present a 3D
registrationmethod based on a two-step approach. In the first step we register both scans in the XY domain using
an Iterative Closest Point (ICP) based algorithm. This algorithm is applied to vessel segmentations obtained
from the projection image of each scan. The distance minimized in the ICP algorithm includes measurements
of the vessel orientation and vessel width to allow for a more robust match. In the second step, a graph-based
method is applied to find the optimal translation along the depth axis of the individual A-scans in the volume to
match both scans. The cost image used to construct the graph is based on the mean squared error (MSE) between
matching A-scans in both images at different translations. We have applied this method to the registration of
Optic Nerve Head (ONH) centered 3D-OCT scans of the same patient. First, 10 3D-OCT scans of 5 eyes with
glaucoma imaged in vivo were registered for a qualitative evaluation of the algorithm performance. Then, 17
OCT data set pairs of 17 eyes with known deformation were used for quantitative assessment of the method's
robustness.
Details
- Title: Subtitle
- Registration of 3D spectral OCT volumes combining ICP with a graph-based approach
- Creators
- Meindert Niemeijer - The Univ. of Iowa (United States)Kyungmoo Lee - The Univ. of Iowa (United States)Mona K Garvin - The Univ. of Iowa (United States) and Veterans Affairs Medical Ctr. (United States)Michael D Abrmoff - The Univ. of Iowa (United States) and Veterans Affairs Medical Ctr. (United States)Milan Sonka - The Univ. of Iowa (United States)
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.8314(1), pp.83141A-83141A-9
- Conference
- Medical Imaging 2012: Image Processing
- DOI
- 10.1117/12.911104
- ISSN
- 0277-786X
- Language
- English
- Date published
- 02/10/2012
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; Injury Prevention Research Center; Ophthalmology and Visual Sciences
- Record Identifier
- 9984047995402771
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