Computer Vision-Guided Virtual Craniofacial Surgery: A Graph-Theoretic and Statistical Perspective

By Suchendra M. Bhandarkar and Ananda S. Chowdhury

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 with detailed 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.

• Format: Hardcover
• Language: English
• ISBN: 0857292951
• ISBN13: 9780857292957
• Release Date: March 2011
• Publisher: Springer
• Length: 166 Pages
• Weight: 0.95 lbs.
• Dimensions: 0.7" x 6.2" x 9.3"