Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data

Third International Workshop, STIA 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers

  • Stanley Durrleman
  • Tom Fletcher
  • Guido Gerig
  • Marc Niethammer
  • Xavier Pennec
Conference proceedings STIA 2014

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8682)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 8682)

Table of contents

  1. Front Matter
    Pages I-X
  2. Longitudinal Registration and Shape Modeling

    1. Front Matter
      Pages 1-1
    2. Eliza Orasanu, Andrew Melbourne, Herve Lombaert, Manuel Jorge Cardoso, Stian Flage Johnsen, Giles S. Kendall et al.
      Pages 3-12
    3. Ernst Schwartz, Andras Jakab, Gregor Kasprian, Lilla Zöllei, Georg Langs
      Pages 13-24
  3. Longitudinal Modeling

    1. Front Matter
      Pages 25-25
    2. Andreas Schuh, Maria Murgasova, Antonios Makropoulos, Christian Ledig, Serena J. Counsell, Jo V. Hajnal et al.
      Pages 27-37
    3. Bérengère Aubert-Broche, Vladimir Fonov, Katrin Weier, Sridar Narayanan, Douglas L. Arnold, Brenda Banwell et al.
      Pages 38-48
    4. Avantika Vardhan, Marcel Prastawa, Neda Sadeghi, Clement Vachet, Joseph Piven, Guido Gerig
      Pages 49-63
  4. Reconstruction from Longitudinal Data

    1. Front Matter
      Pages 65-65
    2. Feng Shi, Jian Cheng, Li Wang, Pew-Thian Yap, Dinggang Shen
      Pages 67-76
  5. 4D Image Processing

    1. Front Matter
      Pages 77-77
    2. Adriënne M. Mendrik, Evert-jan Vonken, Theo Witkamp, Mathias Prokop, Bram van Ginneken, Max. A. Viergever
      Pages 79-87
  6. Back Matter
    Pages 89-89

About these proceedings


This book constitutes the thoroughly refereed post-conference proceedings of the Third International Workshop on Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, STIA 2014, held in conjunction with MICCAI 2014 in Boston, MA, USA, in September 2014.

The 7 papers presented in this volume were carefully reviewed and selected from 15 submissions. They are organized in topical sections named: longitudinal registration and shape modeling, longitudinal modeling, reconstruction from longitudinal data, and 4D image processing.



4D Image Processing Brain Imaging Diffeomorphic FFD Growth Model Image Analysis Image Registration Inverse Consistent Longitudinal Modeling Longitudinal Registration MRI Medical Image Analysis Multimodal Data Neonatal Brain Atlas Parametric Reconstruction from Longitudinal Data Shape Modeling Statistical Data Analysis Symmetric Timer-series Modeling

Editors and affiliations

  • Stanley Durrleman
    • 1
  • Tom Fletcher
    • 2
  • Guido Gerig
    • 3
  • Marc Niethammer
    • 4
  • Xavier Pennec
    • 5
  1. 1.INRIA, Institut du Cerveau et de la Moelle ÉpinièreParisFrance
  2. 2.University of UtahSalt Lake CityUSA
  3. 3.University of UtahSalt Lake CityUSA
  4. 4.University of North Carolina at Chapel HillChapel HillUSA
  5. 5.INRIA Sophia, Asclepios TeamSophia-Antipolis CedexFrance

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-319-14904-2
  • Online ISBN 978-3-319-14905-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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