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

1. Regular Papers

   1. A 3D+Time Spatio-temporal Model for Joint Segmentation and Registration of Sparse Cardiac Cine MR Image Stacks

      • An Elen, Jeroen Hermans, Hadewich Hermans, Frederik Maes, Paul Suetens

      Pages 198-206

   2. Statistical Atlas of Human Cardiac Fibers: Comparison with Abnormal Hearts

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

      Pages 207-213

   3. Maximum Likelihood Correction of Shape Bias Arising from Imaging Protocol: Application to Cardiac MRI

      • Pau Medrano-Gracia, David A. Bluemke, Brett R. Cowan, J. Paul Finn, Carissa G. Fonseca, João A. C. Lima et al.

      Pages 214-223

   4. Volumetric Modeling Electromechanics of the Heart

      • Hongda Mao, Linwei Wang, Ken C. L. Wong, Huafeng Liu, Pengcheng Shi

      Pages 224-233

   5. Matching Sparse Sets of Cardiac Image Cross-Sections Using Large Deformation Diffeomorphic Metric Mapping Algorithm

      • Siamak Ardekani, Aastha Jain, Saurabh Jain, Theodore P. Abraham, Maria R. Abraham, Stefan Zimmerman et al.

      Pages 234-243

   6. VURTIGO: Visualization Platform for Real-Time, MRI-Guided Cardiac Electroanatomic Mapping

      • Perry E. Radau, Stefan Pintilie, Roey Flor, Labonny Biswas, Samuel O. Oduneye, Venkat Ramanan et al.

      Pages 244-253

   7. Validation of a Novel Method for the Automatic Segmentation of Left Atrial Scar from Delayed-Enhancement Magnetic Resonance

      • Rashed Karim, Aruna Arujuna, Alex Brazier, Jaswinder Gill, C. Aldo Rinaldi, Michael Cooklin et al.

      Pages 254-262

   8. Cardiac Motion Estimation Using Covariant Derivatives and Helmholtz Decomposition

      • Alessandro Becciu, Remco Duits, Bart J. Janssen, Luc M. J. Florack, Hans C. van Assen

      Pages 263-273

   9. Temporal Diffeomorphic Motion Analysis from Echocardiographic Sequences by Using Intensity Transitivity Consistency

      • Zhijun Zhang, David J. Sahn, Xubo Song

      Pages 274-284

2. Back Matter

   PDF

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

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