NDLI: Squelettisation par blocs pour des grands volumes de données 3D: application à la microcirculation cérébrale

Content Provider	Semantic Scholar
Author	Fouard, Céline Malandain, Grégoire Prohaska, Stefen Westerhoff, Malte Cassot, Francis Mazel, Christophe Asselot, Didier Marc-Vergnes, Jean-Pierre
Copyright Year	2004
Abstract	Skeletons are compact representations that allow mathematical analysis of objects. A skeleton must be homotopic, thin and medial in relation to the object it represents. Numerous approaches already exist. The main focus is computational efficiency. However, when dealing with data too large to be loaded into the main memory of a personal computer, such approaches can no longer be used. We present in this article a skeletonisation algorithm that processes the data locally (in sub-images) while preserving global properties (medial localisation). Our privileged application is the study of the cerebral microvascularization, and we show some results obtained on a mosaic of 3-D images acquired by confocal microscopy.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://www.zib.de/prohaska/2004/docs/Paper_Fouard_et_al_RFIA_Toulouse_2004.pdf
Alternate Webpage(s)	http://www-sop.inria.fr/asclepios/Publications/Fouard/Fouard_et_al_RFIA_2004.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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