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Real-time Local Noise Filter in 3D Visualization of CT Data

Jerome, Nicholas Tan; Ateyev, Zhassulan; Schmelzle, Sebastian; Chilingaryan, Suren; Kopmann, Andreas

Abstract (englisch):
Removing noise in computer tomography (CT) data for real-time 3D visualization is vital to improve the quality of the final display. However, the CT noise cannot be removed by straight averaging because the noise has a broadband spatial frequency that is overlapping with the interesting signal frequencies. To improve the display of structures and features contained in the data, we present spatially variant filtering that performs averaging of sub-regions around a central region. We compare our filter with five other similar spatially variant filters regarding entropy and processing time. The results demonstrate significant improvement of the visual quality with processing time still within the millisecond range.

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DOI: 10.1109/TNS.2019.2893444
Zugehörige Institution(en) am KIT Institut für Prozessdatenverarbeitung und Elektronik (IPE)
Publikationstyp Zeitschriftenaufsatz
Jahr 2019
Sprache Englisch
Identifikator ISSN: 0018-9499, 1558-1578
KITopen-ID: 1000095370
HGF-Programm 54.02.02 (POF III, LK 01)
Erschienen in IEEE transactions on nuclear science
Seiten 1
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