Analysis of shape assumptions in 3D reconstruction of retina from multiple fundus images

E. Ataer-Cansizoglu, Y. Taguchi, J. Kalpathy-Cramer, M. F. Chiang, D. Erdogmus

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Utilizing priors about the shape of retinal surface is important for accurate reconstruction. We present a detailed analysis of geometrical shape priors in the 3D reconstruction of retina. We first approximate the retinal surface either as a sphere inspired by the actual shape of the eyeball, or as a plane inspired by the 2D mosaicing approaches. Based on this approximation, we perform an initial camera localization with a 2D-to-3D registration procedure. Then, parameters of the surface and the camera poses are refined through a nonlinear least squares optimization using different shape priors. The resulting 3D model and camera poses can be used for intuitively visualizing the retinal images with a model-guided browsing interface.

Original languageEnglish (US)
Title of host publication2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015
PublisherIEEE Computer Society
Pages1502-1505
Number of pages4
ISBN (Electronic)9781479923748
DOIs
StatePublished - Jul 21 2015
Event12th IEEE International Symposium on Biomedical Imaging, ISBI 2015 - Brooklyn, United States
Duration: Apr 16 2015Apr 19 2015

Publication series

NameProceedings - International Symposium on Biomedical Imaging
Volume2015-July
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Other

Other12th IEEE International Symposium on Biomedical Imaging, ISBI 2015
CountryUnited States
CityBrooklyn
Period4/16/154/19/15

Keywords

  • 3D reconstruction
  • retinal images
  • visualization

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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    Ataer-Cansizoglu, E., Taguchi, Y., Kalpathy-Cramer, J., Chiang, M. F., & Erdogmus, D. (2015). Analysis of shape assumptions in 3D reconstruction of retina from multiple fundus images. In 2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015 (pp. 1502-1505). [7164162] (Proceedings - International Symposium on Biomedical Imaging; Vol. 2015-July). IEEE Computer Society. https://doi.org/10.1109/ISBI.2015.7164162