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  • Conference proceedings
  • © 1999

Medical Image Computing and Computer-Assisted Intervention - MICCAI'99

Second International Conference, Cambridge, UK, September 19-22, 1999, Proceedings

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1679)

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Table of contents (133 papers)

  1. Front Matter

  2. Data-Driven Segmentation

    1. Segmentation of Meningiomas and Low Grade Gliomas in MRI

      • M. R. Kaus, S. K. Warfield, A. Nabavi, E. Chatzidakis, P. M. Black, F. A. Jolesz et al.
      Pages 1-10
    2. Automated Segmentation of MS Lesions from Multi-channel MR Images

      • Koen Van Leemput, Frederik Maes, Fernando Bello, Dirk Vandermeulen, Alan Colchester, Paul Suetens
      Pages 11-21
    3. Measurement of Infarct Volume in Stroke Patients Using Adaptive Segmentation of Diffusion Weighted MR Images

      • Anne L. Martel, Steven J. Allder, Gota S. Delay, Paul S. Morgan, Alan R. Moody
      Pages 22-31
    4. Quantitative Modelling of Microcalcification Detection in Digital Mammography

      • Andreas Rick, Serge Muller, Sylvie Bothorel, Michel Grimaud
      Pages 32-41
    5. Interactive Direct Volume Rendering of Dural Arteriovenous Fistulae in MR-CISS Data

      • C. Rezk-Salama, P. Hastreiter, K. Eberhardt, B. Tomandl, T. Ertl
      Pages 42-51
    6. Segmentation of White Matter Lesions from Volumetric MR Images

      • S. A. Hojjatoleslami, F. Kruggel, D. Y. von Cramon
      Pages 52-61
    7. Fractional Segmentation of White Matter

      • Simon K. Warfield, Carl-Fredrik Westin, Charles R. G. Guttmann, Marilyn Albert, Ferenc A. Jolesz, Ron Kikinis
      Pages 62-71
    8. A Modified Fuzzy C-Means Algorithm for MRI Bias Field Estimation and Adaptive Segmentation

      • M. N. Ahmed, S. M. Yamany, N. A. Mohamed, A. A. Farag
      Pages 72-81
    9. Statistical 3D Vessel Segmentation Using a Rician Distribution

      • Albert C. S. Chung, J. Alison Noble
      Pages 82-89
    10. Retinal Blood Vessel Segmentation by Means of Scale-Space Analysis and Region Growing

      • M. Elena Martínez-Pérez, Alun D. Hughes, Alice V. Stanton, Simon A. Thom, Anil A. Bharath, Kim H. Parker
      Pages 90-97
    11. Liver Blood Vessels Extraction by a 3-D Topological Approach

      • Petr Dokládal, Christophe Lohou, Laurent Perroton, Gilles Bertrand
      Pages 98-105
  3. Segmentation Using Structural Models

    1. Tamed Snake: A Particle System for Robust Semi-automatic Segmentation

      • Johannes Hug, Christian Brechbühler, Gábor Székely
      Pages 106-115
    2. Interactive Medical Image Segmentation with United Snakes

      • Jianming Liang, Tim McInerney, Demetri Terzopoulos
      Pages 116-127
    3. Active Shape Model-Based Segmentation of Digital X-ray Images

      • G. Behiels, D. Vandermeulen, F. Maes, P. Suetens, P. Dewaele
      Pages 128-137
    4. A New Approach to 3D Sulcal Ribbon Finding from MR Images

      • X. Zeng, L. H. Staib, R. T. Schultz, H. Tagare, L. Win, J. S. Duncan
      Pages 148-157
    5. Automated Segmentation of Sulcal Regions

      • Maryam E. Rettmann, Chenyang Xu, Dzung L. Pham, Jerry L. Prince
      Pages 158-167
    6. Cylindrical Echocardiographic Image Segmentation Based on 3D Deformable Models

      • J. Montagnat, H. Delingette, G. Malandain
      Pages 168-175
    7. Active Model Based Carotid Ultrasonic Data Segmentation

      • Alexandre Moreau-Gaudry, Philippe Cinquin, Jean-Philippe Baguet
      Pages 176-183

Editors and Affiliations

  • Imaging Sciences, University of Manchester, Manchester, UK

    Chris Taylor

  • University of Kent, Canterbury, Kent, UK

    Alain Colchester

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
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

Other ways to access