The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-2/W4
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W4, 173–177, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W4-173-2017
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W4, 173–177, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W4-173-2017

  10 May 2017

10 May 2017

FOURIER DOMAIN ITERATIVE APPROACH TO OPTICAL SECTIONING OF 3D TRANSLUCENT OBJECTS FOR OPHTHALMOLOGY PURPOSES

A. V. Razgulin1, N. G. Iroshnikov2, A. V. Larichev2, T. E. Romanenko1, and A. S. Goncharov2 A. V. Razgulin et al.
  • 1Lomonosov Moscow State University, Faculty of Computational Mathematics and Cybernetics, Leninskie Gory 1/52, Moscow, Russia
  • 2Lomonosov Moscow State University, Faculty of Physics, Leninskie Gory 1/2, Moscow, Russia

Keywords: Sectioning, 3D Deconvolution, Convolution, Iterative Regularization Method

Abstract. In this paper we deal with the problem of optical sectioning. This is a post processing step while investigating of 3D translucent medical objects based on rapid refocusing of the imaging system by the adaptive optics technique. Each image, captured in focal plane, can be represented as the sum of in-focus true section and out-of-focus images of the neighboring sections of the depth that are undesirable in the subsequent reconstruction of 3D object. The problem of optical sectioning under consideration is to elaborate a robust approach capable of obtaining a stack of cross section images purified from such distortions. For a typical sectioning statement arising in ophthalmology we propose a local iterative method in Fourier spectral plane. Compared to the non-local constant parameter selection for the whole spectral domain, the method demonstrates both improved sectioning results and a good level of scalability when implemented on multi-core CPUs.