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  • Conference proceedings
  • © 2006

Computer Vision Approaches to Medical Image Analysis

Second International ECCV Workshop, CVAMIA 2006, Graz, Austria, May 12, 2006, Revised Papers

Conference proceedings info: CVAMIA 2006.

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Table of contents (22 papers)

  1. Front Matter

  2. Clinical Applications

    1. Melanoma Recognition Using Representative and Discriminative Kernel Classifiers

      • Tatiana Tommasi, Elisabetta La Torre, Barbara Caputo
      Pages 1-12
    2. Detection of Connective Tissue Disorders from 3D Aortic MR Images Using Independent Component Analysis

      • Michael Sass Hansen, Fei Zhao, Honghai Zhang, Nicholas E. Walker, Andreas Wahle, Thomas Scholz et al.
      Pages 13-24
    3. Comparing Ensembles of Learners: Detecting Prostate Cancer from High Resolution MRI

      • Anant Madabhushi, Jianbo Shi, Michael Feldman, Mark Rosen, John Tomaszewski
      Pages 25-36
    4. Accurate Measurement of Cartilage Morphology Using a 3D Laser Scanner

      • Nhon H. Trinh, Jonathan Lester, Braden C. Fleming, Glenn Tung, Benjamin B. Kimia
      Pages 37-48
  3. Image Registration

    1. Quantification of Growth and Motion Using Non-rigid Registration

      • D. Rueckert, R. Chandrashekara, P. Aljabar, K. K. Bhatia, J. P. Boardman, L. Srinivasan et al.
      Pages 49-60
    2. SIFT and Shape Context for Feature-Based Nonlinear Registration of Thoracic CT Images

      • Martin Urschler, Joachim Bauer, Hendrik Ditt, Horst Bischof
      Pages 73-84
    3. Consistent and Elastic Registration of Histological Sections Using Vector-Spline Regularization

      • Ignacio Arganda-Carreras, Carlos O. S. Sorzano, Roberto Marabini, José María Carazo, Carlos Ortiz-de-Solorzano, Jan Kybic
      Pages 85-95
  4. Image Segmentation and Analysis

    1. Comparative Analysis of Kernel Methods for Statistical Shape Learning

      • Yogesh Rathi, Samuel Dambreville, Allen Tannenbaum
      Pages 96-107
    2. Segmentation of Dynamic Emission Tomography Data in Projection Space

      • Evgeny Krestyannikov, Jussi Tohka, Ulla Ruotsalainen
      Pages 108-119
    3. A Framework for Unsupervised Segmentation of Multi-modal Medical Images

      • Ayman El-Baz, Aly Farag, Asem Ali, Georgy Gimel’farb, Manuel Casanova
      Pages 120-131
  5. Poster Session

    1. An Integrated Algorithm for MRI Brain Images Segmentation

      • Yinghua Lu, Jianzhong Wang, Jun Kong, Baoxue Zhang, Jingdan Zhang
      Pages 132-142
    2. Quasi-conformal Flat Representation of Triangulated Surfaces for Computerized Tomography

      • Eli Appleboim, Emil Saucan, Yehoshua Y. Zeevi
      Pages 155-165
    3. Bony Structure Suppression in Chest Radiographs

      • M. Loog, B. van Ginneken
      Pages 166-177
    4. A Minimally-Interactive Watershed Algorithm Designed for Efficient CTA Bone Removal

      • Horst K. Hahn, Markus T. Wenzel, Olaf Konrad-Verse, Heinz-Otto Peitgen
      Pages 178-189
    5. Automatic Reconstruction of Dendrite Morphology from Optical Section Stacks

      • S. Urban, S. M. O’Malley, B. Walsh, A. Santamaría-Pang, P. Saggau, C. Colbert et al.
      Pages 190-201
    6. A Study on the Influence of Image Dynamics and Noise on the JPEG 2000 Compression Performance for Medical Images

      • Peter Michael Goebel, Ahmed Nabil Belbachir, Michael Truppe
      Pages 214-224

Other Volumes

  1. Computer Vision Approaches to Medical Image Analysis

About this book

Medical imaging and medical image analysis are developing rapidly. 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. This was the second time that a satellite workshop,solely devoted to medical image analysis issues, was held in conjunction with the European Conference on Computer Vision (ECCV), and we are optimistic that this will become a tradition at ECCV. We received 38 full-length paper submissions to the second Computer Vision Approaches to Medical Image Analysis (CVAMIA) Workshop, out of which 10 were accepted for oral and 11 for poster presentation after a rigorous peer-review process. In addition, the workshop included three invited talks. The ?rst was given by Maryellen Giger from the University of Chicago, USA — titled “Multi-Modality Breast CADx”.

Keywords

  • 3D imaging
  • Bayesian networks
  • Computer Vision
  • Ensembl
  • Image segmentation
  • Scale-invariant feature transform
  • classification
  • computed tomography (CT)
  • image analysis
  • image registration
  • kernel methods
  • object recognition
  • pattern recognition
  • segmentation
  • therapy

Editors and Affiliations

  • Dept. of Electrical & Computer Engineering and Dept. of Internal Medicine, The University of Iowa, USA

    Reinhard R. Beichel

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

    Milan Sonka

Bibliographic Information

Buying options

eBook USD 39.99
Price excludes VAT (Canada)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (Canada)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions