Skip to main content
SpringerLink
Log in

Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis

ECCV 2004 Workshops CVAMIA and MMBIA Prague, Czech Republic, May 15, 2004, Revised Selected Papers

  • Conference proceedings
  • © 2004

Overview

Editors:
  1. Milan Sonka

    1. Department of Electrical and Computer Engineering, University of Iowa, Iowa City, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Ioannis A. Kakadiaris

    1. Computational Biomedicine Lab, University of Houston, Houston

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Jan Kybic

    1. Center for Machine Perception, Czech Technical University, Prague 2, Czech Republic

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3117)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
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

Licence this eBook for your library

Institutional subscriptions

Table of contents (37 papers)

  1. Front Matter

    Download chapter PDF

  2. Acquisition Techniques

    1. Ultrasound Stimulated Vibro-acoustography

      • James F. Greenleaf, Mostafa Fatemi, Marek Belohlavek
      Pages 1-10

    2. CT from an Unmodified Standard Fluoroscopy Machine Using a Non-reproducible Path

      • Chris Baker, Chris Debrunner, Mohamed Mahfouz, William Hoff, Jamon Bowen
      Pages 11-23

    3. Three-Dimensional Object Reconstruction from Compton Scattered Gamma-Ray Data

      • Mai K. Nguyen, T. T. Truong, J. L. Delarbre, N. Kitanine
      Pages 24-34

  3. Reconstruction

    1. Cone-Beam Image Reconstruction by Moving Frames

      • Xiaochun Yang, Berthold K. P. Horn
      Pages 35-47

    2. AQUATICS Reconstruction Software: The Design of a Diagnostic Tool Based on Computer Vision Algorithms

      • Andrea Giachetti, Gianluigi Zanetti
      Pages 48-63

    3. Towards Automatic Selection of the Regularization Parameters in Emission Tomgraphy by Fourier Synthesis

      • P. Maréchal, D. Mariano-Goulart, L. Giraud, S. Gratton
      Pages 64-74

  4. Mathematical Methods

    1. Extraction of Myocardial Contractility Patterns from Short-Axes MR Images Using Independent Component Analysis

      • A. Suinesiaputra, A. F. Frangi, M. Ãœzümcü, J. H. C. Reiber, B. P. F. Lelieveldt
      Pages 75-86

    2. Principal Geodesic Analysis on Symmetric Spaces: Statistics of Diffusion Tensors

      • P. Thomas Fletcher, Sarang Joshi
      Pages 87-98

    3. Symmetric Geodesic Shape Averaging and Shape Interpolation

      • Brian Avants, James Gee
      Pages 99-110

    4. Smoothing Impulsive Noise Using Nonlinear Diffusion Filtering

      • Omer Demirkaya
      Pages 111-122

    5. Level Set and Region Based Surface Propagation for Diffusion Tensor MRI Segmentation

      • Mikaël Rousson, Christophe Lenglet, Rachid Deriche
      Pages 123-134

    6. The Beltrami Flow over Triangulated Manifolds

      • Lucero Lopez-Perez, Rachid Deriche, Nir Sochen
      Pages 135-144

    7. Hierarchical Analysis of Low-Contrast Temporal Images with Linear Scale Space

      • Tomoya Sakai, Atsushi Imiya
      Pages 145-156

  5. Medical Image Segmentation

    1. Segmentation of Medical Images with a Shape and Motion Model: A Bayesian Perspective

      • Julien Sénégas, Thomas Netsch, Chris A. Cocosco, Gunnar Lund, Alexander Stork
      Pages 157-168

    2. A Multi-scale Geometric Flow for Segmenting Vasculature in MRI

      • Maxime Descoteaux, Louis Collins, Kaleem Siddiqi
      Pages 169-180

    3. A 2D Fourier Approach to Deformable Model Segmentation of 3D Medical Images

      • Eric Berg, Mohamed Mahfouz, Christian Debrunner, William Hoff
      Pages 181-192

    4. Automatic Rib Segmentation in CT Data

      • Joes Staal, Bram van Ginneken, Max A. Viergever
      Pages 193-204

    5. Efficient Initialization for Constrained Active Surfaces, Applications in 3D Medical Images

      • Roberto Ardon, Laurent D. Cohen
      Pages 205-217

    6. An Information Fusion Method for the Automatic Delineation of the Bone-Soft Tissues Interface in Ultrasound Images

      • Vincent Daanen, Jerome Tonetti, Jocelyne Troccaz
      Pages 218-229
Back to top

Other volumes

  1. Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis

Keywords

About this book

Medical imaging and medical image analysisare rapidly developing. While m- ical imaging has already become a standard of modern medical care, medical image analysis is still mostly performed visually and qualitatively. The ev- increasing volume of acquired data makes it impossible to utilize them in full. Equally important, the visual approaches to medical image analysis are known to su?er from a lack of reproducibility. A signi?cant researche?ort is devoted to developing algorithms for processing the wealth of data available and extracting the relevant information in a computerized and quantitative fashion. Medical imaging and image analysis are interdisciplinary areas combining electrical, computer, and biomedical engineering; computer science; mathem- ics; physics; statistics; biology; medicine; and other ?elds. Medical imaging and computer vision, interestingly enough, have developed and continue developing somewhat independently. Nevertheless, bringing them together promises to b- e?t both of these ?elds. We were enthusiastic when the organizers of the 2004 European Conference on Computer Vision (ECCV) allowed us to organize a satellite workshop devoted to medical image analysis.

Editors and Affiliations

  • Department of Electrical and Computer Engineering, University of Iowa, Iowa City, USA

    Milan Sonka

  • Computational Biomedicine Lab, University of Houston, Houston

    Ioannis A. Kakadiaris

  • Center for Machine Perception, Czech Technical University, Prague 2, Czech Republic

    Jan Kybic

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation