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© 2014

Medical Computer Vision. Large Data in Medical Imaging

Third International MICCAI Workshop, MCV 2013, Nagoya, Japan, September 26, 2013, Revised Selected Papers

  • Bjoern Menze
  • Georg Langs
  • Albert Montillo
  • Michael Kelm
  • Henning Müller
  • Zhuowen Tu
Conference proceedings MCV 2013

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8331)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 8331)

Table of contents

  1. Front Matter
    Pages I-XI
    PDF

  2. Workshop Overview

    1. Front Matter
      Pages 1-1
      PDF
    2. Overview of the 2013 Workshop on Medical Computer Vision (MCV 2013)
      Henning Müller, Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Zhuowen Tu et al.
      Pages 3-10

  3. Registration and Visualization

    1. Front Matter
      Pages 11-11
      PDF
    2. Semi-supervised Learning of Nonrigid Deformations for Image Registration
      John A. Onofrey, Lawrence H. Staib, Xenophon Papademetris
      Pages 13-23
    3. Local Regression Learning via Forest Classification for 2D/3D Deformable Registration
      Chen-Rui Chou, Stephen Pizer
      Pages 24-33
    4. Flexible Architecture for Streaming and Visualization of Large Virtual Microscopy Images
      Germán Corredor, Marcela Iregui, Viviana Arias, Eduardo Romero
      Pages 34-43
    5. 2D-PCA Shape Models: Application to 3D Reconstruction of the Human Teeth from a Single Image
      Aly S. Abdelrehim, Aly A. Farag, Ahmed M. Shalaby, Moumen T. El-Melegy
      Pages 44-52
    6. Class-Specific Regression Random Forest for Accurate Extraction of Standard Planes from 3D Echocardiography
      Kiryl Chykeyuk, Mohammad Yaqub, J. Alison Noble
      Pages 53-62

  4. Segmentation

    1. Front Matter
      Pages 63-63
      PDF
    2. Accurate Whole-Brain Segmentation for Alzheimer’s Disease Combining an Adaptive Statistical Atlas and Multi-atlas
      Zhennan Yan, Shaoting Zhang, Xiaofeng Liu, Dimitris N. Metaxas, Albert Montillo, The Australian Imaging Biomarkers and Lifestyle Flagship Study of Ageing
      Pages 65-73
    3. Integrated Spatio-Temporal Segmentation of Longitudinal Brain Tumor Imaging Studies
      Stefan Bauer, Jean Tessier, Oliver Krieter, Lutz-P. Nolte, Mauricio Reyes
      Pages 74-83
    4. Robust Mixture-Parameter Estimation for Unsupervised Segmentation of Brain MR Images
      Alfiia Galimzianova, Žiga Špiclin, Boštjan Likar, Franjo Pernuš
      Pages 84-94
    5. White Matter Supervoxel Segmentation by Axial DP-Means Clustering
      Ryan P. Cabeen, David H. Laidlaw
      Pages 95-104
    6. Semantic Context Forests for Learning-Based Knee Cartilage Segmentation in 3D MR Images
      Quan Wang, Dijia Wu, Le Lu, Meizhu Liu, Kim L. Boyer, Shaohua Kevin Zhou
      Pages 105-115

  5. Detection and Localization

    1. Front Matter
      Pages 117-117
      PDF
    2. Local Phase-Based Fast Ray Features for Automatic Left Ventricle Apical View Detection in 3D Echocardiography
      João S. Domingos, Eduardo Lima, Paul Leeson, J. Alison Noble
      Pages 119-129
    3. Automatic Aorta Detection in Non-contrast 3D Cardiac CT Images Using Bayesian Tracking Method
      Mingna Zheng, J. Jeffery Carr, Yaorong Ge
      Pages 130-137
    4. Organ Localization Using Joint AP/LAT View Landmark Consensus Detection and Hierarchical Active Appearance Models
      Qi Song, Albert Montillo, Roshni Bhagalia, V. Srikrishnan
      Pages 138-147
    5. Pectoral Muscle Detection in Digital Breast Tomosynthesis and Mammography
      Florin C. Ghesu, Michael Wels, Anna Jerebko, Michael Sühling, Joachim Hornegger, B. Michael Kelm
      Pages 148-157

About these proceedings

Introduction

This book constitutes the thoroughly refereed post-workshop proceedings of the Third International Workshop on Medical Computer Vision, MCV 2013, held in Nagoya, Japan, in September 2013 in conjunction with the 16th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013. The 7 revised full papers and 12 poster papers presented were selected from 25 submissions. They have been organized in topical sections on registration and visualization, segmentation, detection and localization, and features and retrieval. In addition, the volume contains two invited papers describing segmentation task and data set of the VISCERAL benchmark challenge.

Keywords

3D reconstruction CT images VISCERAL benchmark computer tomography computer vision image registration image segmentation machine learning medical image analysis pattern recognition visualization

Editors and affiliations

  • Bjoern Menze
    • 1
  • Georg Langs
    • 2
  • Albert Montillo
    • 3
  • Michael Kelm
    • 4
  • Henning Müller
    • 5
  • Zhuowen Tu
    • 6
  1. 1.Technical University of MunichETH, Zürich, SwitzerlandMunichGermany
  2. 2.Medical University of ViennaViennaAustria
  3. 3.GE Global ResearchNiskayunaUSA
  4. 4.Siemens AGErlangenGermany
  5. 5.University of Applied Sciences Western SwitzerlandSierreSwitzerland
  6. 6.University of CaliforniaLa JollaUSA

Bibliographic information

  • Book Title Medical Computer Vision. Large Data in Medical Imaging
  • Book Subtitle Third International MICCAI Workshop, MCV 2013, Nagoya, Japan, September 26, 2013, Revised Selected Papers
  • Editors Bjoern Menze
    Georg Langs
    Albert Montillo
    Michael Kelm
    Henning Müller
    Zhuowen Tu
  • Series Title Lecture Notes in Computer Science
  • Series Abbreviated Title Lect.Notes Computer
  • DOI https://doi.org/10.1007/978-3-319-05530-5
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science Computer Science (R0)
  • Softcover ISBN 978-3-319-05529-9
  • eBook ISBN 978-3-319-05530-5
  • Series ISSN 0302-9743
  • Series E-ISSN 1611-3349
  • Edition Number 1
  • Number of Pages XI, 229
  • Number of Illustrations 93 b/w illustrations, 0 illustrations in colour
  • Topics Image Processing and Computer Vision
    Pattern Recognition
    Health Informatics
  • Buy this book on publisher's site