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Visualization of 3D data in biomedical applications

By Michal Karzel


This thesis describes the basic principle of optical coherence tomography and prepro- cessing of the measured raw data. Preprocessing is focused mainly on noise filtration, removing artifacts, normalization, conversion and compression of raw data. In this way preprocessed data is saved in a *. PFRG file as ”preprocessed fringe data”. Those pre- processed data will be visualised by simply software, which support three methods of visualisation. Volume data represented by voxels. Reconstruction of volume by marching cube algorithm. Cuts through volume along X, Y and Z axis

Topics: normalizace; filtering; sha- dery; Optical coherence tomography; marching cube; komprese; předzpracování; compression; Optická koherentní tomografie; kon- verze; pochodující kostky; noise; raycasting; artefakty; Michelsonův interferometr; conversion; artifact; raytracing; preprocessing; filtrace; 3D visualization; normalization; pseudo-colors; 3D vizualizace; fringe; Michelson interferometer; shaders; šum; pseudo-zbarvení
Publisher: Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií
Year: 2013
OAI identifier: oai:invenio.nusl.cz:243444
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