Computer vision-guided virtual craniofacial surgery: a graph-theoretic and statistical perspective

This unique text/reference discusses in depth the two integral components of reconstructive surgery; fracture detection, and reconstruction from broken bone fragments. In addition to supporting its application-oriented viewpoint withdetailed coverage of theoretical issues, the work incorporates useful algorithms and relevant concepts from both graph theory and statistics. Topics and features: presents practical solutions for virtual craniofacial reconstruction and computer-aided fracture detection; discusses issues of image registration, object reconstruction, combinatorial pattern matching, and detection of salient points and regions in an image; investigates the concepts of maximum-weight graph matching, maximum-cardinality minimum-weight matching for a bipartite graph, determination of minimum cut in a flow network, and construction of automorphs of a cycle graph; examines the techniques of Markov random fields, hierarchical Bayesian restoration, Gibbs sampling, and Bayesian inference. The only book to treat the problem of virtual reconstructive craniofacial surgery from a combinatorial and algorithmic perspective. Provides a survey ofthe applications of computer vision and pattern recognition to virtual surgery. Contains an extensive treatment of the problems of fracture detection and virtual reconstruction. INDICE: Part I: Overview and Foundations. Introduction. Graph-Theoretic Foundations. A Statistical Primer. Part II: Virtual Craniofacial Reconstruction.Virtual Single-fracture Mandibular Reconstruction. Virtual Multiple-fracture Mandibular Reconstruction. Part III Computer-aided Fracture Detection. Fracture Detection using Bayesian Inference. Fracture Detection in an MRF-based Hierarchical Bayesian Framework. Fracture Detection using Max-Flow Min-Cut. Part IV: Concluding Remarks. GUI Design and Research Synopsis.

• ISBN: 978-0-85729-295-7
• Editorial: Springer London
• Encuadernacion: Cartoné
• Páginas: 168
• Fecha Publicación: 01/03/2011
• Nº Volúmenes: 1
• Idioma: Inglés