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Izdelava 3D geometrijskih modelov jeter
ID Žnidaršič, Urban (Author), ID Kunc, Robert (Mentor) More about this mentor... This link opens in a new window

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Abstract
Jetra so organ v človeškem telesu, ki se zelo dobro obnavlja. Da bi lahko predvideli, kako hitro bi se jetra obnavljala po operaciji, bi potrebovali geometrijske modele jeter, na katerih bi lahko izvajali simulacije. Te modele smo poskusili izdelati s 3D skeniranjem korozijskih odlitkov jeter ter s segmentacijo posnetkov, narejenih z magnetno resonanco in računalniško tomografijo. S 3D skeniranjem modelov ni bilo mogoče izdelati, s segmentacijo pa smo dobili modele različnih kvalitet. Na kvaliteto končnih modelov sta najbolj vplivali ločljivost in barvna homogenost uporabljenih posnetkov.

Language:Slovenian
Keywords:jetra, geometrijski modeli, trdni modeli, mrežni modeli, magnetna resonanca, računalniška tomografija, segmentacija
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FS - Faculty of Mechanical Engineering
Place of publishing:Ljubljana
Publisher:[U. Žnidaršič]
Year:2020
Number of pages:XV, 37 str.
PID:20.500.12556/RUL-116622 This link opens in a new window
UDC:612.35:004.925.84(043.2)
COBISS.SI-ID:21365251 This link opens in a new window
Publication date in RUL:30.05.2020
Views:1515
Downloads:210
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Secondary language

Language:English
Title:Creation of 3D geometric models of liver
Abstract:
The liver is an organ in the human body with exceptional regeneration properties. In order to predict the regeneration rate after surgery we would need geometric models of liver on which we could perform simulations. We tried to create these models by 3D scanning vascular corrosion casts of liver and by segmentation of magnetic resonance and computed tomography images. Creation of models by 3D scanning was not possible and the models acquired by segmentation varied in quality. The factors that affected quality of the final models the most were image resolution and colour homogeneity.

Keywords:liver, geometric models, solid models, mesh models, magnetic resonance, computed tomography, segmentation

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