DocumentCode
3505909
Title
Reconstructing the three-dimensional surface of a branching and merging biological structure from a stack of coplanar contours
Author
Burguet, Jasmine ; Mailly, Philippe ; Maurin, Yves ; Andrey, Philippe
Author_Institution
NOeMI, INRA, Jouy-en-Josas, France
fYear
2011
fDate
March 30 2011-April 2 2011
Firstpage
602
Lastpage
605
Abstract
We address here two important problems when reconstructing the three-dimensional surface of a biological structure from a stack of section contours. The correspondence problem, which aims at associating contours on adjacent sections, is solved using connection constraints and a contour association cost function to build a correspondence graph. The branching problem, which aims to reconstruct the surface between one contour and several ones on the adjacent section, is decomposed as a cascade of bifurcations at linearly interpolated contour locations between sections. Our method restores connections even for distant contours and produces anatomically relevant branching reconstructions. The validity of this approach is illustrated on two neuroanatomical datasets.
Keywords
biological techniques; biological tissues; biology computing; brain; image reconstruction; neurophysiology; optical microscopy; bifurcation cascade; biological structure 3D surface reconstruction; branching biological structure; branching problem; connection constraints; contour association cost function; coplanar contour stack; correspondence graph; correspondence problem; merging biological structure; neuroanatomical datasets; Bifurcation; Blood vessels; Image reconstruction; Merging; Surface reconstruction; Surface treatment; 3D modeling; Surface reconstruction; histology; neuroanatomy;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on
Conference_Location
Chicago, IL
ISSN
1945-7928
Print_ISBN
978-1-4244-4127-3
Electronic_ISBN
1945-7928
Type
conf
DOI
10.1109/ISBI.2011.5872479
Filename
5872479
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