Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges

5th International Workshop, STACOM 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers

  • Oscar Camara
  • Tommaso Mansi
  • Mihaela Pop
  • Kawal Rhode
  • Maxime Sermesant
  • Alistair Young

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8896)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 8896)

Table of contents

  1. Front Matter
    Pages I-XII
  2. MoCo (Motion Correction) Challenge

    1. Front Matter
      Pages 1-1
    2. Nicholas J. Tustison, Yang Yang, Michael Salerno
      Pages 3-12
    3. Mehran Ebrahimi, Sancgeetha Kulaseharan
      Pages 13-20
    4. Nils Noorman, James Small, Avan Suinesiaputra, Brett Cowan, Alistair A. Young
      Pages 32-40
    5. Devavrat Likhite, Ganesh Adluru, Edward DiBella
      Pages 41-50
    6. Lennart Tautz, Teodora Chitiboi, Anja Hennemuth
      Pages 51-60
  3. LV mechanics Challenge

    1. Front Matter
      Pages 61-61
    2. Adarsh Krishnamurthy, Christopher Villongco, Amanda Beck, Jeffrey Omens, Andrew McCulloch
      Pages 63-73
    3. Sophie Giffard-Roisin, Stéphanie Marchesseau, Loïc Le Folgoc, Hervé Delingette, Maxime Sermesant
      Pages 74-82
    4. Arthur Mensch, Emmanuel Piuze, Lucas Lehnert, Adrianus J. Bakermans, Jon Sporring, Gustav J. Strijkers et al.
      Pages 83-92
    5. Sjur Gjerald, Johan Hake, Simone Pezzuto, Joakim Sundnes, Samuel T. Wall
      Pages 93-104
    6. Sander Land, Steve Niederer, Pablo Lamata
      Pages 105-113
    7. Jazmin Aguado-Sierra, Alfonso Santiago, Matias I. Rivero, Mariña López-Yunta, David Soto-Iglesias, Lydia Dux-Santoy et al.
      Pages 114-122
    8. Liya Asner, Myrianthi Hadjicharalambous, Jack Lee, David Nordsletten
      Pages 123-134
    9. Zhinuo J. Wang, Vicky Y. Wang, Sue-Mun Huang, Justyna A. Niestrawska, Alistair A. Young, Martyn P. Nash
      Pages 135-144
  4. Regular papers

    1. Front Matter
      Pages 145-145
    2. Maria Panayiotou, Andrew P. King, R. James Housden, YingLiang Ma, Michael Truong, Michael Cooklin et al.
      Pages 158-167

About these proceedings

Introduction

This book constitutes the thoroughly refereed post-conference proceedings of the 5th International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2014, held in conjunction with MICCAI 2014, in Boston, MA, USA, in September 2014. The 30 revised full papers were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics such as sections on cardiac image processing; atlas construction; statistical modelling of cardiac function across different patient populations; cardiac mapping; cardiac computational physiology; model customization; atlas based functional analysis; ontological schemata for data and results; integrated functional and structural analyses; as well as the pre-clinical and clinical applicability of these methods.

Keywords

Applied Computing Cardiac image analysis Health informatics Image processing Image registration LV geometry Left Ventricular Life and Medical Sciences MR images Magnetic resonance Medical image analysis Modeling Motion correction Myocardial perfusion imaging Statistical Models

Editors and affiliations

  • Oscar Camara
    • 1
  • Tommaso Mansi
    • 2
  • Mihaela Pop
    • 3
  • Kawal Rhode
    • 4
  • Maxime Sermesant
    • 5
  • Alistair Young
    • 6
  1. 1.University Pompeu FabraBarcelonaSpain
  2. 2.Siemens Corporate TechnologyPrincetonUSA
  3. 3.Sunnybrook Research InstituteTorontoCanada
  4. 4.St. Thomas HospitalLondonUnited Kingdom
  5. 5.InriaSophia AntipolisFrance
  6. 6.University of AucklandAucklandNew Zealand

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-14678-2
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-14677-5
  • Online ISBN 978-3-319-14678-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book