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

1. Front Matter

   PDF

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 1^st 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

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.

• 3D computer modeling
• MRI tagging
• cardiac imaging
• finite element modeling
• statistical model

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)

• 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

Policies and ethics