NDLI: Connectivity analysis in very large 3D microtomographic images

Content Provider	IEEE Xplore Digital Library
Author	Apostol, L. Peyrin, F.
Copyright Year	2004
Description	Author affiliation: CREATIS, UMR CNRS, Villeurbanne (Apostol, L.; Peyrin, F.)
Abstract	Osteoporosis, a bone fragility disease leading to spontaneous bone fractures, is becoming a major health problem in many countries. The characterization of trabecular bone architecture has been shown to be important to predict fracture risk. Trabecular bone may be characterized in vitro using 3D microtomography. New acquisition systems enable to get very high-resolution images with sizes up to 8 Gbytes. Among the different quantifications, connected component analysis is useful to characterize connectivity. Such an analysis requires loading the whole 3D image in memory, which limits the maximum size of the volume to be processed. In this paper, we present a method for analyzing the connectivity of very large 3D images. They are decomposed in sub-volumes and processed according to the following steps: a) objects in each sub-volume are separately labeled by an iterative sequential algorithm, b) the common border of the two sub-volumes is analyzed in order to identify interconnections between objects situated on both sides of this border, c) objects in each sub-volume are relabeled according to interconnections information. The implementation is thought so as to minimize memory occupation. The program was successfully applied to bone volume images acquired using synchrotron radiation microtomography and containing various numbers of objects
Starting Page	4111
Ending Page	4115
File Size	1550444
Page Count	5
File Format	PDF
ISBN	0780387007
ISSN	10823654
e-ISBN	0780387015
DOI	10.1109/NSSMIC.2004.1466797
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-10-16
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image analysis Magnetic resonance imaging Spatial resolution High-resolution imaging Bone diseases Cancellous bone In vitro In vivo Optical imaging X-ray imaging
Content Type	Text
Resource Type	Article

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