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Computer Vision-Guided Virtual Craniofacial Surgery

A Graph-Theoretic and Statistical Perspective

  • Book
  • © 2011

Overview

Authors:
  1. Ananda S. Chowdhury

    1. Dept. Electronics & Telecom. Engineering, Jadavpur University, Kolkata, India

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  2. Suchendra M. Bhandarkar

    1. Department of Computer Science, University of Georgia, Athens, USA

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    You can also search for this author in PubMed   Google Scholar

  • The only book to treat the problem of virtual reconstructive craniofacial surgery from a combinatorial and algorithmic perspective
  • Provides a survey of the applications of computer vision and pattern recognition to virtual surgery
  • Contains an extensive treatment of the problems of fracture detection and virtual reconstruction
  • Includes supplementary material: sn.pub/extras

Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)

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Table of contents (9 chapters)

  1. Front Matter

    Pages I-XXIII
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  2. Overview and Foundations

    1. Front Matter

      Pages 1-1
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    2. Introduction

      • Ananda S. Chowdhury, Suchendra M. Bhandarkar
      Pages 3-13

    3. Graph-Theoretic Foundations

      • Ananda S. Chowdhury, Suchendra M. Bhandarkar
      Pages 15-23

    4. A Statistical Primer

      • Ananda S. Chowdhury, Suchendra M. Bhandarkar
      Pages 25-34

  3. Virtual Craniofacial Reconstruction

    1. Front Matter

      Pages 35-35
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    2. Virtual Single-Fracture Mandibular Reconstruction

      • Ananda S. Chowdhury, Suchendra M. Bhandarkar
      Pages 37-70

    3. Virtual Multiple-Fracture Mandibular Reconstruction

      • Ananda S. Chowdhury, Suchendra M. Bhandarkar
      Pages 71-87

  4. Computer-Aided Fracture Detection

    1. Front Matter

      Pages 89-89
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  5. Computer-aided Fracture Detection

    1. Fracture Detection Using Bayesian Inference

      • Ananda S. Chowdhury, Suchendra M. Bhandarkar
      Pages 91-109

    2. Fracture Detection in an MRF-Based Hierarchical Bayesian Framework

      • Ananda S. Chowdhury, Suchendra M. Bhandarkar
      Pages 111-136

    3. Fracture Detection Using Max-Flow Min-Cut

      • Ananda S. Chowdhury, Suchendra M. Bhandarkar
      Pages 137-147

  6. Concluding Remarks

    1. Front Matter

      Pages 149-149
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    2. GUI Design and Research Synopsis

      • Ananda S. Chowdhury, Suchendra M. Bhandarkar
      Pages 151-157

  7. Back Matter

    Pages 159-168
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Keywords

About this book

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

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)

Authors and Affiliations

  • Dept. Electronics & Telecom. Engineering, Jadavpur University, Kolkata, India

    Ananda S. Chowdhury

  • Department of Computer Science, University of Georgia, Athens, USA

    Suchendra M. Bhandarkar

Bibliographic Information

  • Book Title: Computer Vision-Guided Virtual Craniofacial Surgery

  • Book Subtitle: A Graph-Theoretic and Statistical Perspective

  • Authors: Ananda S. Chowdhury, Suchendra M. Bhandarkar

  • Series Title: Advances in Computer Vision and Pattern Recognition

  • DOI: https://doi.org/10.1007/978-0-85729-296-4

  • Publisher: Springer London

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer-Verlag London Limited 2011

  • Hardcover ISBN: 978-0-85729-295-7Published: 28 March 2011

  • Softcover ISBN: 978-1-4471-2645-4Published: 21 April 2013

  • eBook ISBN: 978-0-85729-296-4Published: 19 March 2011

  • Series ISSN: 2191-6586

  • Series E-ISSN: 2191-6594

  • Edition Number: 1

  • Number of Pages: XXVI, 166

  • Topics: Pattern Recognition, Imaging / Radiology

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