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

Second International Workshop, STACOM 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 22, 2011, Revised Selected Papers

  • Conference proceedings
  • © 2012

Overview

Editors:
  1. Oscar Camara

    1. Department of Information and Communication Technologies, University of Pompeu Fabra, Center for ComputationalImaging and Simulation Technologies in Biomedicine (CISTIB), Barcelona, Spain

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  2. Ender Konukoglu

    1. Machine Learning and Perception, Microsoft Research, Cambridge, UK

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  3. Mihaela Pop

    1. Department of Medical Biophysics, Ontario Cancer Institute, princess Margaret Hospital, University of Toronto, Faculty of Medicien, Toronto, Canada

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  4. Kawal Rhode

    1. Division of Imaging Sciences, King’s College London, St. Thomas Hospital, London, UK

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  5. Maxime Sermesant

    1. Research Centre, Ascöepios Team, Inria Sophia Antipolis- Méditerranée, Sophia Antipolis Cedex, France

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  6. Alistair Young

    1. Auckland Bioengineering Institute, Medical and Health Sciences, University of Auckland, Auckland, New Zealand

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  • High quality selected papers
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7085)

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

Included in the following conference series:

Conference proceedings info: STACOM 2011.

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Table of contents (28 papers)

  1. Front Matter

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  2. EP Simulation Challenge

    1. EP Challenge - STACOM’11: Forward Approaches to Computational Electrophysiology Using MRI-Based Models and In-Vivo CARTO Mapping in Swine Hearts

      • Mihaela Pop, Maxime Sermesant, Tommaso Mansi, Eugene Crystal, Sudip Ghate, Jatin Relan et al.
      Pages 1-13

    2. Personalisation of a 3D Ventricular Electrophysiological Model, Using Endocardial and Epicardial Contact Mapping and MRI

      • Jatin Relan, Maxime Sermesant, Hervé Delingette, Nicholas Ayache
      Pages 14-22

    3. Transmural Electrophysiologic and Scar Imaging on Porcine Heart with Chronic Infarction

      • Linwei Wang, Fady Dawoud, Ken C. L. Wong, Heye Zhang, Huafeng Liu, Albert C. Lardo et al.
      Pages 23-32

  3. Motion Tracking Challenge

    1. A Multimodal Database for the 1st Cardiac Motion Analysis Challenge

      • Catalina Tobon-Gomez, Mathieu De Craene, Annette Dahl, Stam Kapetanakis, Gerry Carr-White, Anja Lutz et al.
      Pages 33-44

    2. Automatic Cardiac Motion Tracking Using Both Untagged and 3D Tagged MR Images

      • Haiyan Wang, Wenzhe Shi, Xiahai Zhuang, Simon Duckett, KaiPin Tung, Philip Edwards et al.
      Pages 45-54

    3. An Incompressible Log-Domain Demons Algorithm for Tracking Heart Tissue

      • Kristin McLeod, Adityo Prakosa, Tommaso Mansi, Maxime Sermesant, Xavier Pennec
      Pages 55-67

    4. Temporal Diffeomorphic Free Form Deformation (TDFFD) Applied to Motion and Deformation Quantification of Tagged MRI Sequences

      • Mathieu De Craene, Catalina Tobon-Gomez, Constantine Butakoff, Nicolas Duchateau, Gemma Piella, Kawal S. Rhode et al.
      Pages 68-77

    5. Motion Analysis with Quadrature Filter Based Registration of Tagged MRI Sequences

      • Lennart Tautz, Anja Hennemuth, Heinz-Otto Peitgen
      Pages 78-87

  4. Segmentation Challenge

    1. Left Ventricular Segmentation Challenge from Cardiac MRI: A Collation Study

      • Avan Suinesiaputra, Brett R. Cowan, J. Paul Finn, Carissa G. Fonseca, Alan H. Kadish, Daniel C. Lee et al.
      Pages 88-97

    2. Automatic Segmentation of the Myocardium in Cine MR Images Using Deformable Registration

      • Marie-Pierre Jolly, Christoph Guetter, Xiaoguang Lu, Hui Xue, Jens Guehring
      Pages 98-108

    3. Layered Spatio-temporal Forests for Left Ventricle Segmentation from 4D Cardiac MRI Data

      • Ján Margeta, Ezequiel Geremia, Antonio Criminisi, Nicholas Ayache
      Pages 109-119

    4. Myocardial Segmentation Using Contour-Constrained Optical Flow Tracking

      • Ahmed S. Fahmy, Ahmed O. Al-Agamy, Ayman Khalifa
      Pages 120-128

  5. Regular Papers

    1. Optimization for Multi-Region Segmentation of Cardiac MRI

      • Johannes Ulén, Petter Strandmark, Fredrik Kahl
      Pages 129-138

    2. Analysis of Catheter-Based Registration with Vessel-Radius Weighting of 3D CT Data to 2D X-ray for Cardiac Catheterisation Procedures in a Phantom Study

      • Michael Truong, Thomas Gordon, Reza Razavi, Graeme Penney, Kawal S. Rhode
      Pages 139-148

    3. Myocardial Contractility and Regional Work throughout the Cardiac Cycle Using FEM and MRI

      • Vicky Y. Wang, Daniel B. Ennis, Brett R. Cowan, Alistair A. Young, Martyn P. Nash
      Pages 149-159

    4. Variability of the Human Cardiac Laminar Structure

      • Hervé Lombaert, Jean-Marc Peyrat, Laurent Fanton, Farida Cheriet, Hervé Delingette, Nicholas Ayache et al.
      Pages 160-167

    5. Polynomial Regression Based Edge Filtering for Left Ventricle Tracking in 3D Echocardiography

      • Engin Dikici, Fredrik Orderud
      Pages 168-177

    6. A Multi-image Graph Cut Approach for Cardiac Image Segmentation and Uncertainty Estimation

      • Wenzhe Shi, Xiahai Zhuang, Robin Wolz, Duckett Simon, KaiPin Tung, Haiyan Wang et al.
      Pages 178-187

    7. Toward Clinically-Feasible Noninvasive Electrophysiological Imaging: Investigating the Impact of Local Anatomical Details

      • Azar Rahimi, Hongda Mao, Pengcheng Shi, Linwei Wang
      Pages 188-197
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  1. Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges

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About this book

This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challegenges, STACOM 2011, held in conjunction with MICCAI 2011, in Toronto, Canada, in September 2011.
The 28 revised full papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on EP simulation challenge, motion tracking challenge, segmentation challenge, and regular papers.

Reviews

From the book reviews:

“The book is aimed primarily at students, health professionals, and researchers who are looking to enhance their knowledge of further advances in cardiac imaging and statistical models of the heart. … This is a valuable resource for those interested in keeping abreast of the latest advances in cardiac imaging statistical models and will serve to accelerate progress in the important area of heart structure and functional analysis.” (Pooja Sethi, Doody’s Book Reviews, March, 2015)

Editors and Affiliations

  • Department of Information and Communication Technologies, University of Pompeu Fabra, Center for ComputationalImaging and Simulation Technologies in Biomedicine (CISTIB), Barcelona, Spain

    Oscar Camara

  • Machine Learning and Perception, Microsoft Research, Cambridge, UK

    Ender Konukoglu

  • Department of Medical Biophysics, Ontario Cancer Institute, princess Margaret Hospital, University of Toronto, Faculty of Medicien, Toronto, Canada

    Mihaela Pop

  • Division of Imaging Sciences, King’s College London, St. Thomas Hospital, London, UK

    Kawal Rhode

  • Research Centre, Ascöepios Team, Inria Sophia Antipolis- Méditerranée, Sophia Antipolis Cedex, France

    Maxime Sermesant

  • Auckland Bioengineering Institute, Medical and Health Sciences, University of Auckland, Auckland, New Zealand

    Alistair Young

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