DocumentCode
1238358
Title
Distance preserving flattening of surface sections
Author
Saroul, Laurent ; Figueiredo, Oscar ; Hersch, Roger D.
Author_Institution
Sch. of Comput. & Commun. Sci., Ecole Polytech. Fed. de Lausanne, Switzerland
Volume
12
Issue
1
fYear
2006
Firstpage
26
Lastpage
35
Abstract
Curved cross-sections extracted from medical volume images are useful for analyzing nonplanar anatomic structures such as the aorta arch or the pelvis. For visualization and for performing distance measurements, extracted surface sections need to be adequately flattened. We present two different distance preserving surface flattening methods which preserve distances according to a user-specified center of interest and according to user-specified orientations. The first method flattens surface sections by preserving distances along surface curves located within planes having a user specified constant orientation. The second method flattens surfaces along curves located within radial planes crossing the center of interest. We study and compare the properties of the two flattening methods by analyzing their distortion maps. Thanks to a multiresolution approach, we provide surface flattening at interactive rates, allowing users to displace their focus point while visualizing the resulting flattened surface. These distance preserving flattening methods provide new means of inspecting curved cross-sections extracted from medical images.
Keywords
computational geometry; curve fitting; data visualisation; image resolution; medical image processing; surface fitting; data visualization; distance preserving surface flattening method; medical volume image; nonplanar anatomic structures; radial planes; surface section; user specified constant orientation; Arteries; Biomedical imaging; Distance measurement; Focusing; Geometry; Image analysis; Pelvis; Performance evaluation; Surface texture; Visualization; Visualization; anatomic structures; curved sections; distance preserving surface flattening; interactive multiresolution flattening.; surface extraction; Algorithms; Anatomy, Cross-Sectional; Computer Graphics; Computer Systems; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Pattern Recognition, Automated; User-Computer Interface; Whole Body Imaging;
fLanguage
English
Journal_Title
Visualization and Computer Graphics, IEEE Transactions on
Publisher
ieee
ISSN
1077-2626
Type
jour
DOI
10.1109/TVCG.2006.7
Filename
1541997
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