Paper Info
Title
Estimating Shape Correspondence For Populations Of Objects With Complex Topology
Abstract
Statistical shape analysis captures the geometric properties of a given set of shapes, obtained from medical images, by means of statistical methods. Orthognathic surgery is a type of craniofacial surgery that is aimed at correcting severe skeletal deformities in the mandible and maxilla. Methods assuming spherical topology cannot represent the class of anatomical structures exhibiting complex geometries and topologies, including the mandible. In this paper we propose methodology based on non-rigid deformations of 3D geometries to be applied to objects with thin, complex structures. We are able to accurately and quantitatively characterize bone healing at the osteotomy site as well as condylar remodeling for three orthognathic surgery cases, demonstrating the effectiveness of the proposed methodology.
Year
DOI
Venue
2018
10.1109/ISBI.2018.8363742
2018 IEEE 15TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2018)
Keywords
Field
DocType
Complex topology, diffeomorphic shape registration, statistical shape modeling, statistical shape analysis, orthognathic surgery
Computer vision,Topology,Orthognathic surgery,Computer science,Condyle,Osteotomy,Statistical shape analysis,Maxilla,Network topology,Craniofacial surgery,Artificial intelligence,Anatomical structures
Conference
Volume
ISSN
Citations 
2018
1945-7928
1
PageRank 
References 
Authors
0.48
0
8
Name
Order
Citations
PageRank
Fishbaugh James1599.48
Laura Pascal210.48
Luke Fischer310.48
Tung Nguyen412725.11
Celso Boen510.48
Joao Goncalves610.48
Guido Gerig74795540.21
Beatriz Paniagua83414.25