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

doi:10.1109/ISBI.2015.7164162

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 proceeding › Conference contribution

6 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 language	English (US)
Title of host publication	2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015
Publisher	IEEE Computer Society
Pages	1502-1505
Number of pages	4
ISBN (Electronic)	9781479923748
DOIs	https://doi.org/10.1109/ISBI.2015.7164162
State	Published - Jul 21 2015
Externally published	Yes
Event	12th IEEE International Symposium on Biomedical Imaging, ISBI 2015 - Brooklyn, United States Duration: Apr 16 2015 → Apr 19 2015

Publication series

Name	Proceedings - International Symposium on Biomedical Imaging
Volume	2015-July
ISSN (Print)	1945-7928
ISSN (Electronic)	1945-8452

Other

Other	12th IEEE International Symposium on Biomedical Imaging, ISBI 2015
Country/Territory	United States
City	Brooklyn
Period	4/16/15 → 4/19/15

Keywords

3D reconstruction
retinal images
visualization

ASJC Scopus subject areas

Biomedical Engineering
Radiology Nuclear Medicine and imaging

Access to Document

10.1109/ISBI.2015.7164162

Cite this

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

Analysis of shape assumptions in 3D reconstruction of retina from multiple fundus images. / Ataer-Cansizoglu, E.; Taguchi, Y.; Kalpathy-Cramer, J. et al.
2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015. IEEE Computer Society, 2015. p. 1502-1505 7164162 (Proceedings - International Symposium on Biomedical Imaging; Vol. 2015-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ataer-Cansizoglu, E, Taguchi, Y, Kalpathy-Cramer, J, Chiang, MF & 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., 7164162, Proceedings - International Symposium on Biomedical Imaging, vol. 2015-July, IEEE Computer Society, pp. 1502-1505, 12th IEEE International Symposium on Biomedical Imaging, ISBI 2015, Brooklyn, United States, 4/16/15. https://doi.org/10.1109/ISBI.2015.7164162

Ataer-Cansizoglu E, Taguchi Y, Kalpathy-Cramer J, Chiang MF, Erdogmus D. Analysis of shape assumptions in 3D reconstruction of retina from multiple fundus images. In 2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015. IEEE Computer Society. 2015. p. 1502-1505. 7164162. (Proceedings - International Symposium on Biomedical Imaging). doi: 10.1109/ISBI.2015.7164162

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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.",

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

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Keywords

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