Authors:
Rodrigo Freitas Lima
and
Mauricio Marengoni
Affiliation:
Mackenzie Presbyterian University, Brazil
Keyword(s):
Medical Images, Computer Tomography, Visualization Toolkit, Insight Toolkit, Volume Rendering, Segmentation, Computer Vision, Paranasal Air Sinuses.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Computer Vision, Visualization and Computer Graphics
;
Image and Video Analysis
;
Image Enhancement and Restoration
;
Image Formation and Preprocessing
;
Medical Image Applications
;
Segmentation and Grouping
Abstract:
This position paper explains our method for segmenting and volume rendering in computer tomography images.
Our application is developed to reconstruct craniofacial objects in 3D visualization using insight toolkit
and visualization toolkit frameworks. We intend to quantify volume rendering of mucus found in CT images
and analyze the data which is an important tool in sinus disease treatment. Two algorithms were implemented
in order to compare the results: an automatic segmentation and a manual method. Both solutions presented
some issues that will be discussing in the next sections.