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001 978-0-85729-296-4
003 DE-He213
005 20140220083713.0
007 cr nn 008mamaa
008 110318s2011 xxk| s |||| 0|eng d
020 _a9780857292964
_9978-0-85729-296-4
024 7 _a10.1007/978-0-85729-296-4
_2doi
050 4 _aQ337.5
050 4 _aTK7882.P3
072 7 _aUYQP
_2bicssc
072 7 _aCOM016000
_2bisacsh
082 0 4 _a006.4
_223
100 1 _aChowdhury, Ananda S.
_eauthor.
245 1 0 _aComputer Vision-Guided Virtual Craniofacial Surgery
_h[electronic resource] :
_bA Graph-Theoretic and Statistical Perspective /
_cby Ananda S. Chowdhury, Suchendra M. Bhandarkar.
264 1 _aLondon :
_bSpringer London,
_c2011.
300 _aXXVI, 166 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvances in Computer Vision and Pattern Recognition,
_x2191-6586
505 0 _aPart 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.
520 _aRecent advances in both scanning instruments and supporting software have transitioned their impact from merely outside the operating room to inside the surgical theater, making intra-operative 3D imaging a reality. This unique text/reference examines the important application of computer vision and pattern recognition to medical science, with a specific focus on reconstructive craniofacial surgery. The book 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, which can also be applied to related fields such as radiology, orthopedic surgery and histopathology 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 Includes a Foreword by Dr. Jack C. Yu, Milford B. Hatcher Professor of Surgery at the Medical College of Georgia, Augusta, GA, USA This practical text will be of great resource value to researchers and graduate students from a broad spectrum of disciplines including computer science, electrical engineering, biomedical engineering and statistics. Clinical practitioners such as plastic surgeons, orthopedic surgeons and radiologists will also find much of interest in the book. 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.
650 0 _aComputer science.
650 0 _aRadiology, Medical.
650 0 _aOptical pattern recognition.
650 1 4 _aComputer Science.
650 2 4 _aPattern Recognition.
650 2 4 _aImaging / Radiology.
700 1 _aBhandarkar, Suchendra M.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780857292957
830 0 _aAdvances in Computer Vision and Pattern Recognition,
_x2191-6586
856 4 0 _uhttp://dx.doi.org/10.1007/978-0-85729-296-4
912 _aZDB-2-SCS
999 _c105184
_d105184