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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

  • Conference proceedings
  • © 2015

Overview

Editors:
  1. Stanley Durrleman

    1. INRIA, Institut du Cerveau et de la Moelle Épinière, Paris, France

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  2. Tom Fletcher

    1. University of Utah, Salt Lake City, USA

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  3. Guido Gerig

    1. University of Utah, Salt Lake City, USA

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  4. Marc Niethammer

    1. University of North Carolina at Chapel Hill, Chapel Hill, USA

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  5. Xavier Pennec

    1. INRIA Sophia, Asclepios Team, Sophia-Antipolis Cedex, France

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

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: STIA 2014.

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About this book

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.

 

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Keywords

Table of contents (7 papers)

  1. Front Matter

    Pages I-X
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  2. Longitudinal Registration and Shape Modeling

    1. Front Matter

      Pages 1-1
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    2. Prefrontal Cortical Folding of the Preterm Brain: A Longitudinal Analysis of Preterm-Born Neonates

      • Eliza Orasanu, Andrew Melbourne, Herve Lombaert, Manuel Jorge Cardoso, Stian Flage Johnsen, Giles S. Kendall et al.
      Pages 3-12

    3. A Locally Linear Method for Enforcing Temporal Smoothness in Serial Image Registration

      • Ernst Schwartz, Andras Jakab, Gregor Kasprian, Lilla Zöllei, Georg Langs
      Pages 13-24

  3. Longitudinal Modeling

    1. Front Matter

      Pages 25-25
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    2. Construction of a 4D Brain Atlas and Growth Model Using Diffeomorphic Registration

      • Andreas Schuh, Maria Murgasova, Antonios Makropoulos, Christian Ledig, Serena J. Counsell, Jo V. Hajnal et al.
      Pages 27-37

    3. Is It Possible to Differentiate the Impact of Pediatric Monophasic Demyelinating Disorders and Multiple Sclerosis After a First Episode of Demyelination?

      • Bérengère Aubert-Broche, Vladimir Fonov, Katrin Weier, Sridar Narayanan, Douglas L. Arnold, Brenda Banwell et al.
      Pages 38-48

    4. Joint Longitudinal Modeling of Brain Appearance in Multimodal MRI for the Characterization of Early Brain Developmental Processes

      • 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
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    2. Longitudinal Guided Super-Resolution Reconstruction of Neonatal Brain MR Images

      • Feng Shi, Jian Cheng, Li Wang, Pew-Thian Yap, Dinggang Shen
      Pages 67-76

  5. 4D Image Processing

    1. Front Matter

      Pages 77-77
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    2. Using the Fourth Dimension to Distinguish Between Structures for Anisotropic Diffusion Filtering in 4D CT Perfusion Scans

      • 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
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Other volumes

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

Editors and Affiliations

  • INRIA, Institut du Cerveau et de la Moelle Épinière, Paris, France

    Stanley Durrleman

  • University of Utah, Salt Lake City, USA

    Tom Fletcher, Guido Gerig

  • University of North Carolina at Chapel Hill, Chapel Hill, USA

    Marc Niethammer

  • INRIA Sophia, Asclepios Team, Sophia-Antipolis Cedex, France

    Xavier Pennec

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