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

Third International Workshop, STACOM 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 5, 2012, Revised Selected Papers

  • Conference proceedings
  • © 2013

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Editors:
  1. Oscar Camara

    1. Department of Information and Communication, Universitat Pompeu Fabra, Barcelona, Spain

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  2. Tommaso Mansi

    1. Siemens Corporate Research, Princeton, USA

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  3. Mihaela Pop

    1. Sunnybrook Health Science Centre, Department of Medical Biophsics, University of Toronto, Toronto, Canada

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  4. Kawal Rhode

    1. School of Medicine, Department of Medical Engineering and Physics, King’s College Hospital, Lonon, UK

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  5. Maxime Sermesant

    1. INRIA Sophia Antipolis, Asclepios Research Project, Sophia Antipolis Cedex, France

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  6. Alistair Young

    1. Faculty of Medical and Halth Sciences, Department of Anatomy with Radiology, 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 7746)

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

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Conference proceedings info: STACOM 2012.

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About this book

This book constitutes the thoroughly refereed post-conference proceedings of the Third International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2012, held in conjunction with MICCAI 2012, in Nice, France, in October 2012.
The 42 revised full papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on CFD challenge, DE-MRI segmentation challenge, LV landmark detection challenge, motion tracking analysis challenge, and regular papers.

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Table of contents (42 papers)

  1. Front Matter

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  2. CFD Challenge

    1. Study on Hemodynamics in Patient-Specific Thoracic Aortic Coarctation Model

      • Wenyu Fu, Aike Qiao
      Pages 1-8

    2. Quantitative Hemodynamic Evaluation in Children with Coarctation of Aorta: Phase Contrast Cardiovascular MRI versus Computational Fluid Dynamics

      • Prahlad G. Menon, Kerem Pekkan, Shobhit Madan
      Pages 9-16

    3. A Lattice Boltzmann Simulation of Hemodynamics in a Patient-Specific Aortic Coarctation Model

      • Amanda Peters Randles, Moritz Bächer, Hanspeter Pfister, Efthimios Kaxiras
      Pages 17-25

    4. A 1D Lumped-Parameter/3D CFD Approach for Pressure Drop in the Aortic Coarctation

      • Eduardo Soudah, Maurizio Bordone, Pooyan Davdan, Riccardo Rossi
      Pages 26-33

    5. Aortic Coarctation Simulation Based on the Lattice Boltzmann Method: Benchmark Results

      • Thomas Henn, Vincent Heuveline, Mathias J. Krause, Sebastian Ritterbusch
      Pages 34-43

    6. CFD Challenge: Hemodynamic Simulation of a Patient-Specific Aortic Coarctation Model with Adjoint-Based Calibrated Windkessel Elements

      • Mahmoud Ismail, Michael W. Gee, Wolfgang A. Wall
      Pages 44-52

  3. DE-MRI Segmentation Challenge

    1. Supervised Learning Modelization and Segmentation of Cardiac Scar in Delayed Enhanced MRI

      • Laura Lara, Sergio Vera, Frederic Perez, Nico Lanconelli, Rita Morisi, Bruno Donini et al.
      Pages 53-61

    2. Healthy and Scar Myocardial Tissue Classification in DE-MRI

      • Xènia Albà, Rosa M. Figueras i Ventura, Karim Lekadir, Alejandro F. Frangi
      Pages 62-70

    3. Infarct Segmentation of the Left Ventricle Using Graph-Cuts

      • Rashed Karim, Zhong Chen, Samantha Obom, Ying-Liang Ma, Prince Acheampong, Harminder Gill et al.
      Pages 71-79

    4. Hierarchical Conditional Random Fields for Myocardium Infarction Detection

      • Zahra Karimaghaloo, Hassan Rivaz, Tal Arbel
      Pages 80-86

    5. Mixture-Model-Based Segmentation of Myocardial Delayed Enhancement MRI

      • Anja Hennemuth, Ola Friman, Markus Huellebrand, Heinz-Otto Peitgen
      Pages 87-96

    6. Infarct Segmentation Challenge on Delayed Enhancement MRI of the Left Ventricle

      • Rashed Karim, Piet Claus, Zhong Chen, R. James Housden, Samantha Obom, Harminder Gill et al.
      Pages 97-104

  4. LV Landmark Detection Challenge

    1. Discriminative Context Modeling Using Auxiliary Markers for LV Landmark Detection from a Single MR Image

      • Xiaoguang Lu, Marie-Pierre Jolly
      Pages 105-114

    2. Landmark Detection in Cardiac MRI Using Learned Local Image Statistics

      • Dwarikanath Mahapatra
      Pages 115-124

  5. Motion Tracking Analysis Challenge

    1. Computational and Physical Phantom Setups for the Second Cardiac Motion Analysis Challenge (cMAC2)

      • Mathieu De Craene, Pascal Allain, Hang Gao, Adityo Prakosa, Stephanie Marchesseau, Oudom Somphone et al.
      Pages 125-133

    2. Temporal Diffeomorphic Free Form Deformation to Quantify Changes Induced by Left and Right Bundle Branch Block and Pacing

      • Gemma Piella, Antonio R. Porras, Mathieu De Craene, Nicolas Duchateau, Alejandro F. Frangi
      Pages 134-141

    3. Three-Dimensional Cardiac Motion Estimation Based on Non-rigid Image Registration Using a Novel Transformation Model Adapted to the Heart

      • Brecht Heyde, Daniel Barbosa, Piet Claus, Frederik Maes, Jan D’hooge
      Pages 142-150

    4. Motion Estimation in 3D Echocardiography Using Smooth Field Registration

      • Oudom Somphone, Cécile Dufour, Benoît Mory, Loïc Hilpert, Sherif Makram-Ebeid, Nicolas Villain et al.
      Pages 151-158

    5. Monogenic Phase Based Optical Flow Computation for Myocardial Motion Analysis in 3D Echocardiography

      • Martino Alessandrini, Hervé Liebgott, Daniel Barbosa, Olivier Bernard
      Pages 159-168
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Other volumes

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

Editors and Affiliations

  • Department of Information and Communication, Universitat Pompeu Fabra, Barcelona, Spain

    Oscar Camara

  • Siemens Corporate Research, Princeton, USA

    Tommaso Mansi

  • Sunnybrook Health Science Centre, Department of Medical Biophsics, University of Toronto, Toronto, Canada

    Mihaela Pop

  • School of Medicine, Department of Medical Engineering and Physics, King’s College Hospital, Lonon, UK

    Kawal Rhode

  • INRIA Sophia Antipolis, Asclepios Research Project, Sophia Antipolis Cedex, France

    Maxime Sermesant

  • Faculty of Medical and Halth Sciences, Department of Anatomy with Radiology, University of Auckland, Auckland, New Zealand

    Alistair Young

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