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

7th International Workshop, STACOM 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers

  • Tommaso Mansi
  • Kristin McLeod
  • Mihaela Pop
  • Kawal Rhode
  • Maxime Sermesant
  • Alistair Young

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10124)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 10124)

Table of contents

  1. Regular Papers

    1. David Soto-Iglesias, Diego Penela, Xavier Planes, Veronika Zimmer, Juan Acosta, David Andreu et al.
      Pages 172-181
    2. Iulia A. Popescu, Benjamin Irving, Alessandra Borlotti, Erica Dall’Armellina, Vicente Grau
      Pages 182-190
  2. SLAWT (Segmentation of Left Atrial Wall Thickness) Challenge Papers

    1. Front Matter
      Pages 191-191
    2. Rashed Karim, Marta Varela, Pranav Bhagirath, Ross Morgan, Jonathan M. Behar, R. James Housden et al.
      Pages 193-200
    3. Qian Tao, Rahil Shahzad, Floris F. Berendsen, Rob J. van der Geest
      Pages 220-227
  3. Back Matter
    Pages 229-230

About these proceedings

Introduction

This book constitutes the thoroughly refereed post-workshop proceedings of the 7th International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges. 7th International Workshop, STACOM 2016, Held in conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected papers

The 24 revised full workshop papers were carefully reviewed and selected from 32 submissions. The papers cover a wide range of topics such as cardiac image processing; atlas construction, statistical modelling of cardiac function across different patient populations; cardiac mapping, cardiac computational physiology; model customization; image-based modelling and image-guided interventional procedures; atlas based functional analysis, ontological schemata for data and results; integrated functional and structural analyses; pre-clinical and clinical applicability of the methods described.

Keywords

angiography cardiac imaging dynamic programming infarct diagnosis modeling cardiac computed tomography (CT) CMR electrophysiological model geodesic active contour histological data image segmentation MRI parameter estimation registration robust PCA segmentation tagged MR image analysis tracking trans-catheter aortic valve implantation x-ray fluoroscopy

Editors and affiliations

  • Tommaso Mansi
    • 1
  • Kristin McLeod
    • 2
  • Mihaela Pop
    • 3
  • Kawal Rhode
    • 4
  • Maxime Sermesant
    • 5
  • Alistair Young
    • 6
  1. 1.Siemens Medical SolutionsMedical Imaging TechnologiesPrincetonUSA
  2. 2.Simula Research LaboratoryOsloNorway
  3. 3.Sunnybrook Research InstituteUniversity of TorontoTorontoCanada
  4. 4.Imaging Sciences and Biomedical EngineeringRayne Institute, King’s College LondonLondonUnited Kingdom
  5. 5.Inria, Asclepios ProjectSophia-AntipolisFrance
  6. 6.Department of Radiology, Faculty of Medical and Health SciencesAuckland UniversityAucklandNew Zealand

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-52718-5
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-52717-8
  • Online ISBN 978-3-319-52718-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book