Compensation of the Light Attenuation with Depth of Images Captured by a Confocal Microscope Using a MRF Deformation Model and Graph Cuts

0313677 - FGÚ 2009 RIV GR eng C - Conference Paper (international conference)
Čapek, Martin - Michálek, Jan - Janáček, Jiří - Kubínová, Lucie - Hána, K. - Smrčka, P.
Compensation of the Light Attenuation with Depth of Images Captured by a Confocal Microscope Using a MRF Deformation Model and Graph Cuts.
[Kompenzace jasového útlumu s hloubkou obrazů získaných konfokálním mikroskopem použitím deformačního modelu markovských náhodných polí a řezů grafem.]
Eurographics´08. Heraklion: The Eurographics Association, 2008, s. 307-310. ISSN 1017-4656.
[Eurographics´08. Heraklion (GR), 14.04.2008-18.04.2008]
R&D Projects: GA MŠMT(CZ) LC06063; GA ČR GA102/08/0691
Institutional research plan: CEZ:AV0Z50110509
Keywords : confocal microscopy * light attenuation
Subject RIV: JD - Computer Applications, Robotics

We study series of fluorescent optical sections, i.e. three-dimensional (3D) biomedical images, captured by a confocal laser scanning microscope (CLSM). Fluorescent image intensities of optical sections from deep layers of the specimen are often darker than intensities of sections from the top layers due to absorption and scattering of both excitation and fluorescent light. To solve this problem we apply a Markov Random Field (MRF) model - including an efficient deformation model for tracking structures within the 3D images - for computation of optical flow. We approach the corresponding optimization problem by the graph cuts. Image intensities of optical sections are recomputed according to the found optical flow, since the flow gives us evaluation of their proper brightness. Finally, the light attenuation with depth is compensated by matching accumulative histograms of optical sections of the original series with respect to optical sections improved by the optical flow

Útlum jasu s hloubkou u obrazů získaných konfokálním mikroskopem se kompenzuje pomocí modelování problému s využitím deformačního modelu vyjádřeném markovskými náhodnými poli. Úloha je optimalizována s využitím řezů grafem
Permanent Link: http://hdl.handle.net/11104/0164420