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Title:Pristop k vizualizaciji podatkov na osebnem računalniku
Authors:Podgorelec, David (Author)
Vinter, Marko (Author)
Žalik, Borut (Author)
Files:URL http://ims.mf.uni-lj.si/archive/07(1)/IMS07(1)web.pdf
 
Language:Slovenian
Work type:Unknown ()
Typology:1.01 - Original Scientific Article
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V članku je predstavljen algoritem za senčenje prostorskih podatkov, ki je zaradi svoje enostavnosti in hitrosti primeren tudi za uporabo na osebnem računalniku. Množice podatkov, ki jih je zmožen vizualizirati, so dovolj velike za učinkovito rabo v medicinskih aplikacijah. Algoritem temelji na sekundarnem geometrijskem modelu, ki smo ga poimenovali seznam vidnih vokslov. Vizualizacijo poskuša pospešiti s predhodnim izločanjem vokslov, nezanimivih za uporabnika. Ti tako imenovani beli voksli predstavljajo zrak, notranjost objektov in dele površja objektov, ki niso vidni iz trenutnega položaja opazovalca. Delovanje in učinkovitost algoritma smo predstavili na nekaj praktičnih primerih uporabe pri vizualizaciji medicinskih podatkov.
Keywords:računalniška grafika, prostorski podatki, senčenje prostorskih podatkov, znanstvena vizualizacija, vizualizacija prostorskih podatkov, izdelava modelov, voksli, vizualizacija medicinskih podatkov, computer graphics, volume data, volume rendering, visualisation, volume data visualisation, voxels, medical data sets
Year of publishing:2002
UDC:004.92
ISSN on article:1318-2129
COBISS_ID:7473174 New window
NUK URN:URN:SI:UM:DK:THARVMR2
Views:1332
Downloads:29
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Categories:Misc.
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Record is a part of a journal

Title:Informatica medica slovenica
Publisher:Zdravstveni dom dr. Adolfa Drolca
ISSN:1318-2129
COBISS.SI-ID:37756160 New window

Secondary language

Language:English
Title:Visualisation of volume medical data on a personal computer
Abstract:We present an algorithm for volume rendering that is simple and sufficiently fast to be run on a low-cost personal computer. The algorithm supports the visualization of large data sets, which are typically examined in medical applications. The algorithm is based on a secondary model called the list of visible voxels. Visualisation is accelerated by eliminating voxels not interesting to a user. These so-called white voxels present air, objectsć interior and parts of objectsć boundaries hidden from the userćs viewpoint. In the last part of the paper, some practical examples from the medical data sets are considered.


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