Paper
5 May 2010 Minimizing camera-eye optical aberrations during the 3D reconstruction of retinal structures
Javier Aldana-Iuit, M. Elena Martinez-Perez, Arturo Espinosa-Romero, Rufino Diaz-Uribe
Author Affiliations +
Abstract
3D reconstruction of blood vessels is a powerful visualization tool for physicians, since it allows them to refer to qualitative representation of their subject of study. In this paper we propose a 3D reconstruction method of retinal vessels from fundus images. The reconstruction method propose herein uses images of the same retinal structure in epipolar geometry. Images are preprocessed by RISA system for segmenting blood vessels and obtaining feature points for correspondences. The correspondence points process is solved using correlation. The LMedS analysis and Graph Transformation Matching algorithm are used for outliers suppression. Camera projection matrices are computed with the normalized eight point algorithm. Finally, we retrieve 3D position of the retinal tree points by linear triangulation. In order to increase the power of visualization, 3D tree skeletons are represented by surfaces via generalized cylinders whose radius correspond to morphological measurements obtained by RISA. In this paper the complete calibration process including the fundus camera and the optical properties of the eye, the so called camera-eye system is proposed. On one hand, the internal parameters of the fundus camera are obtained by classical algorithms using a reference pattern. On the other hand, we minimize the undesirable efects of the aberrations induced by the eyeball optical system assuming that contact enlarging lens corrects astigmatism, spherical and coma aberrations are reduced changing the aperture size and eye refractive errors are suppressed adjusting camera focus during image acquisition. Evaluation of two self-calibration proposals and results of 3D blood vessel surface reconstruction are presented.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Javier Aldana-Iuit, M. Elena Martinez-Perez, Arturo Espinosa-Romero, and Rufino Diaz-Uribe "Minimizing camera-eye optical aberrations during the 3D reconstruction of retinal structures", Proc. SPIE 7723, Optics, Photonics, and Digital Technologies for Multimedia Applications, 77231F (5 May 2010); https://doi.org/10.1117/12.851379
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Calibration

Cameras

3D modeling

Image segmentation

Blood vessels

Distortion

Eye models

Back to Top