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  • Conference proceedings
  • © 2008

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008

11th International Conference, New York, NY, USA, September 6-10, 2008, Proceedings, Part I

Editors:

  1. Dimitris Metaxas
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  2. Leon Axel
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  3. Gabor Fichtinger
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  4. Gábor Székely
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5241)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Conference series link(s): MICCAI: International Conference on Medical Image Computing and Computer-Assisted Intervention

Conference proceedings info: MICCAI 2008.

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Table of contents (127 papers)

  1. Segmentation I

    1. Level Set Based Surface Capturing in 3D Medical Images

      • Bin Dong, Aichi Chien, Yu Mao, Jian Ye, Stanley Osher
      Pages 162-169

    2. Automatic Detection of Calcified Coronary Plaques in Computed Tomography Data Sets

      • Stefan C. Saur, Hatem Alkadhi, Lotus Desbiolles, Gábor Székely, Philippe C. Cattin
      Pages 170-177

    3. Comprehensive Segmentation of Cine Cardiac MR Images

      • Maxim Fradkin, Cybèle Ciofolo, Benoit Mory, Gilion Hautvast, Marcel Breeuwer
      Pages 178-185

    4. Segmentation of Pathologic Hearts in Long-Axis Late-Enhancement MRI

      • Cybèle Ciofolo, Maxim Fradkin
      Pages 186-193

    5. Automatic Subcortical Segmentation Using a Contextual Model

      • Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova, Amity E. Green, Arthur W. Toga, Paul M. Thompson
      Pages 194-201

    6. Lumbar Disc Localization and Labeling with a Probabilistic Model on Both Pixel and Object Features

      • Jason J. Corso, Raja’ S. Alomari, Vipin Chaudhary
      Pages 202-210

    7. Topology Preserving Warping of Binary Images: Application to Atlas-Based Skull Segmentation

      • Sylvain Faisan, Nicolas Passat, Vincent Noblet, Renée Chabrier, Christophe Meyer
      Pages 211-218

    8. Robust Segmentation and Anatomical Labeling of the Airway Tree from Thoracic CT Scans

      • Bram van Ginneken, Wouter Baggerman, Eva M. van Rikxoort
      Pages 219-226

    9. Spine Segmentation Using Articulated Shape Models

      • Tobias Klinder, Robin Wolz, Cristian Lorenz, Astrid Franz, Jörn Ostermann
      Pages 227-234

    10. Model-Based Segmentation of Hippocampal Subfields in Ultra-High Resolution In Vivo MRI

      • Koen Van Leemput, Akram Bakkour, Thomas Benner, Graham Wiggins, Lawrence L. Wald, Jean Augustinack et al.
      Pages 235-243

    11. Kinetic Modeling Based Probabilistic Segmentation for Molecular Images

      • Ahmed Saad, Ghassan Hamarneh, Torsten Möller, Ben Smith
      Pages 244-252

    12. Automatic Delineation of Sulci and Improved Partial Volume Classification for Accurate 3D Voxel-Based Cortical Thickness Estimation from MR

      • Oscar Acosta, Pierrick Bourgeat, Jurgen Fripp, Erik Bonner, Sébastien Ourselin, Olivier Salvado
      Pages 253-261

    13. R-PLUS: A Riemannian Anisotropic Edge Detection Scheme for Vascular Segmentation

      • Ali Gooya, Takeyoshi Dohi, Ichiro Sakuma, Hongen Liao
      Pages 262-269

    14. A Novel Method for Cortical Sulcal Fundi Extraction

      • Gang Li, Tianming Liu, Jingxin Nie, Lei Guo, Stephen T. C. Wong
      Pages 270-278

    16. Bone Segmentation and Fracture Detection in Ultrasound Using 3D Local Phase Features

      • Ilker Hacihaliloglu, Rafeef Abugharbieh, Antony Hodgson, Robert Rohling
      Pages 287-295

    17. Interactive Separation of Segmented Bones in CT Volumes Using Graph Cut

      • Lu Liu, David Raber, David Nopachai, Paul Commean, David Sinacore, Fred Prior et al.
      Pages 296-304

    19. Active Scheduling of Organ Detection and Segmentation in Whole-Body Medical Images

      • Yiqiang Zhan, Xiang Sean Zhou, Zhigang Peng, Arun Krishnan
      Pages 313-321

    20. A New Stochastic Framework for Accurate Lung Segmentation

      • Ayman El-Ba, Georgy Gimel’farb, Robert Falk, Trevor Holland, Teresa Shaffer
      Pages 322-330
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Other Volumes

  1. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008

  2. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008

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About this book

The 11th International Conference on Medical Imaging and Computer Assisted Intervention, MICCAI 2008, was held at the Helen and Martin Kimmel Center of New York University, New York City, USA on September 6–10, 2008. MICCAI is the premier international conference in this domain, with - depth papers on the multidisciplinary ?elds of biomedical image computing and analysis, computer assisted intervention and medical robotics. The conference brings together biological scientists, clinicians, computer scientists, engineers, mathematicians, physicists and other interested researchers and o?ers them a forum to exchange ideas in these exciting and rapidly growing ?elds. The conference is both very selective and very attractive: this year we - ceived a record number of 700 submissions from 34 countries and 6 continents, fromwhich258papers were selectedfor publication,whichcorrespondsto a s- cess rate of approximately 36%. Some interesting facts about the distribution of submitted and acceptedpapers are shown graphically at the end of this preface. The paper selection process this year was based on the following procedure, which included the introduction of several novelties over previous years. 1. A ProgramCommittee (PC) of 49 members was recruited by the Program Chairs,to getthenecessarybody ofexpertiseandgeographicalcoverage.All PC members agreed in advance to participate in the ?nal paper selection process. 2. Key words grouped in 7 categories were used to describe the content of the submissions and the expertise of the reviewers.
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Keywords

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Buy it now

eBook USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 219.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

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