NDLI: Isosurface reconstruction with topology control

Content Provider	IEEE Xplore Digital Library
Author	Bischoff, S. Kobbelt, L.P.
Copyright Year	2002
Description	Author affiliation: Lehrstuhl fur Informatik VIII, Rheinisch-Westfalische Tech. Hochschule, Aachen, Germany (Bischoff, S.; Kobbelt, L.P.)
Abstract	Extracting isosurfaces from volumetric datasets is an essential step for indirect volume rendering algorithms. For physically measured data, e.g. in medical imaging applications, one often introduces topological errors such as small handles that stem from measurement inaccuracy and cavities that are generated by tight folds of an organ. During isosurface extraction these measurement errors result in a surface whose genus is much higher than that of the actual surface. In many cases, however, the topological type of the object under consideration is known beforehand, e.g., the cortex of a human brain is always homeomorphic to a sphere. By using topology preserving morphological operators we can exploit this knowledge to gradually dilate an initial set of voxels with correct topology until it fits the target isosurface. This approach avoids the formation of handles and cavities and guarantees a topologically correct reconstruction of the object's surface.
Starting Page	246
Ending Page	255
File Size	559198
Page Count	10
File Format	PDF
ISBN	0769517846
DOI	10.1109/PCCGA.2002.1167868
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-10-09
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Isosurfaces Topology Surface morphology Data mining Image reconstruction Humans Biomedical imaging Measurement errors Surface reconstruction Visualization
Content Type	Text
Resource Type	Article

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