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Vizualizacija medicinskih volumetričnih podatkov v realnem času : diplomsko delo
ID Lesar, Žiga (Author), ID Marolt, Matija (Mentor) More about this mentor... This link opens in a new window

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PID: 20.500.12556/rul/b7e362ae-8fbf-4d30-b704-2623f11a9859

Abstract
V delu obravnavamo postopke za vizualizacijo medicinskih volumetričnih podatkov v realnem času, ki bi lahko povečali hitrost in zanesljivost diagnostičnih procesov. V ta namen smo razvili in primerjali tri vizualizacijske metode, ki temeljijo na algoritmu metanja žarkov: izris nivojskih ploskev, projekcijo največje intenzitete in emisijsko-absorpcijski model. Dodali smo tudi vizualna efekta ambientnega zastiranja in globinske ostrine. Vse metode smo optimizirali za čim hitrejše izvajanje na grafičnih procesorjih. Pri tem smo predstavili dve inovativni rešitvi: adaptivno vzorčenje in adaptivno rekonstrukcijo, ki pripomoreta k večji hitrosti izrisa. Opravili smo performančno analizo vseh uporabljenih metod, ki pokaže na učinkovitost predstavljenih pohitritev ter na ozka grla pri implementaciji. Izvedli smo tudi uporabniško evalvacijo, v kateri so specialisti s področja radiologije ovrednotili praktično primernost vizualizacijskih metod.

Language:Slovenian
Keywords:vizualizacija medicinskih podatkov, angiografija, metanje žarkov, nivojske ploskve, emisijsko-absorpcijski model, OpenCL, računalništvo, računalništvo in informatika, univerzitetni študij, diplomske naloge
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FRI - Faculty of Computer and Information Science
Publisher:Ž. Lesar
Year:2014
Number of pages:78 str.
PID:20.500.12556/RUL-29459 This link opens in a new window
COBISS.SI-ID:10773844 This link opens in a new window
Publication date in RUL:12.09.2014
Views:2334
Downloads:684
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Licences

License:CC BY-SA 2.5 SI, Creative Commons Attribution-ShareAlike 2.5 Slovenia
Link:https://creativecommons.org/licenses/by-sa/2.5/si/deed.en
Description:You are free to reproduce and redistribute the material in any medium or format. You are free to remix, transform, and build upon the material for any purpose, even commercially. You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original. You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Secondary language

Language:English
Title:Real-time visualization of medical volumetric datasets
Abstract:
Our work discusses methods for real-time visualization of medical volumetric data sets, which can lead to faster and more reliable diagnostic processes. We have developed three visualization methods based on the ray casting algorithm: isosurface rendering, maximum intensity projection, and the emission-absorption model. We introduced two visual effects that enhance the final rendering: ambient occlusion and depth of field. We optimized the developed visualization methods for fast execution on graphics processing units and in the process introduced two novel methods: adaptive sampling and adaptive reconstruction, which contribute to faster rendering. We conducted a performance evaluation of the methods, which showed the efficiency of the implemented speed-ups and revealed the bottlenecks in the implementation. We also carried out a user evaluation study, where radiology specialists evaluated the practical suitability of the visualization methods.

Keywords:visualization of medical data, angiography, ray casting, isosurfaces, emission-absorption model, OpenCL, computer science, computer and information science, diploma

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