Computer Vision-Guided Virtual Craniofacial Surgery
A Graph-Theoretic and Statistical Perspective
Published on 28. March 2011
Book
Hardback
XXVI, 166 pages
978-0-85729-295-7 (ISBN)
Description
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.
Reviews / Votes
From the reviews:
"The goal of the research is to apply image processing techniques for the construction of a virtual human jaw. . The monograph presents the underlying computational mathematics and algorithms and the results of the corresponding experiments. . Readers with a normal understanding of the human anatomy can understand the book. . It can be used as a textbook in graduate or higher-level image processing courses." (Maulik A. Dave, ACM Computing Reviews, April, 2012)More details
Series
Edition
2011 ed.
Language
English
Place of publication
London
United Kingdom
Target group
Primary & secondary/elementary & high school
Graduate
Product notice
sewn/stitched
Cloth over boards
Illustrations
XXVI, 166 p.
Dimensions
Height: 245 mm
Width: 164 mm
Thickness: 25 mm
Weight
458 gr
ISBN-13
978-0-85729-295-7 (9780857292957)
DOI
10.1007/978-0-85729-296-4
Schweitzer Classification
Other editions
Additional editions
Ananda S. Chowdhury | Suchendra M. Bhandarkar
Computer Vision-Guided Virtual Craniofacial Surgery
A Graph-Theoretic and Statistical Perspective
Book
04/2013
Springer
€106.99
Shipment within 15-20 days
Ananda S. Chowdhury | Suchendra M. Bhandarkar
Computer Vision-Guided Virtual Craniofacial Surgery
A Graph-Theoretic and Statistical Perspective
E-Book
03/2011
1st Edition
Springer
€96.29
Available for download
Persons
Dr. Ananda S. Chowdhury is a reader in the Department of Electronics and Telecommunication Engineering at Jadavpur University, Kolkata, India. Dr. Suchendra M. Bhandarkar is a professor in the Department of Computer Science at the University of Georgia, Athens, GA, USA.
Content
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.