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

4th International Workshop, STACOM 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 26, 2013. Revised Selected Papers

  • Conference proceedings
  • © 2014

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Editors:
  1. Oscar Camara

    1. Universitat Pompeu Fabra, Barcelona, Spain

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  2. Tommaso Mansi

    1. Siemens Corporation, Corporate Technology, Princeton, USA

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  3. Mihaela Pop

    1. University of Toronto, Canada

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  4. Kawal Rhode

    1. King’s College London, UK

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  5. Maxime Sermesant

    1. Inria, Sophia Antipolis, France

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  6. Alistair Young

    1. University of Auckland, New Zealand

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8330)

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 2013.

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Table of contents (31 papers)

  1. Front Matter

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  2. Left Atrial Segmentation Challenge

    1. Left Atrial Segmentation Challenge: A Unified Benchmarking Framework

      • Catalina Tobon-Gomez, Jochen Peters, Juergen Weese, Karen Pinto, Rashed Karim, Tobias Schaeffter et al.
      Pages 1-13

    2. Automatic Segmentation of the Left Atrium on CT Images

      • Abdelaziz Daoudi, Saïd Mahmoudi, Mohammed Amine Chikh
      Pages 14-23

    3. Multi-atlas-Based Segmentation of the Left Atrium and Pulmonary Veins

      • Zulma Sandoval, Julián Betancur, Jean-Louis Dillenseger
      Pages 24-30

    4. Model-Based Segmentation of the Left Atrium in CT and MRI Scans

      • Birgit Stender, Oliver Blanck, Bo Wang, Alexander Schlaefer
      Pages 31-41

    5. Toward an Automatic Left Atrium Localization Based on Shape Descriptors and Prior Knowledge

      • Mohammed Ammar, Saïd Mahmoudi, Mohammed Amine Chikh, Amine Abbou
      Pages 42-48

    6. Decision Forests for Segmentation of the Left Atrium from 3D MRI

      • Ján Margeta, Kristin McLeod, Antonio Criminisi, Nicholas Ayache
      Pages 49-56

  3. CFD Challenge

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

      • Xi Zhao, Youjun Liu, Jinli Ding, Mingzi Zhang, Wenyu Fu, Fan Bai et al.
      Pages 57-64

    2. Hemodynamic in Aortic Coarctation Using MRI-Based Inflow Condition

      • Jens Schaller, Leonid Goubergrits, Pavlo Yevtushenko, Ulrich Kertzscher, Eugénie Riesenkampff, Titus Kuehne
      Pages 65-73

    3. Sensitivity Analysis of the Boundary Conditions in Simulations of the Flow in an Aortic Coarctation under Rest and Stress Conditions

      • Salvatore Cito, Jordi Pallarés, Anton Vernet
      Pages 74-82

    4. Patient-Specific Hemodynamic Evaluation of an Aortic Coarctation under Rest and Stress Conditions

      • Priti G. Albal, Tyson A. Montidoro, Onur Dur, Prahlad G. Menon
      Pages 83-93

    5. CFD Challenge: Predicting Patient-Specific Hemodynamics at Rest and Stress through an Aortic Coarctation

      • Christof Karmonik, Alistair Brown, Kristian Debus, Jean Bismuth, Alain B. Lumsden
      Pages 94-101

    6. A Multiscale Filtering-Based Parameter Estimation Method for Patient-Specific Coarctation Simulations in Rest and Exercise

      • Sanjay Pant, Benoit Fabrèges, Jean-Frédéric Gerbeau, Irene E. Vignon-Clementel
      Pages 102-109

    7. A Finite Element CFD Simulation for Predicting Patient-Specific Hemodynamics of an Aortic Coarctation

      • Idit Avrahami
      Pages 110-117

    8. Traditional CFD Boundary Conditions Applied to Blood Analog Flow through a Patient-Specific Aortic Coarctation

      • Xiao Wang, D. Keith Walters, Greg W. Burgreen, David S. Thompson
      Pages 118-125

  4. Regular Papers

    1. Extraction of Cardiac and Respiratory Motion Information from Cardiac X-Ray Fluoroscopy Images Using Hierarchical Manifold Learning

      • Maria Panayiotou, Andrew P. King, Kanwal K. Bhatia, R. James Housden, YingLiang Ma, C. Aldo Rinaldi et al.
      Pages 126-134

    2. Dyadic Tensor-Based Interpolation of Tensor Orientation: Application to Cardiac DT-MRI

      • Jin Kyu Gahm, Daniel B. Ennis
      Pages 135-142

    3. Continuous Spatio-temporal Atlases of the Asymptomatic and Infarcted Hearts

      • Pau Medrano-Gracia, Brett R. Cowan, David A. Bluemke, J. Paul Finn, Alan H. Kadish, Daniel C. Lee et al.
      Pages 143-151

    4. Progress on Customization of Predictive MRI-Based Macroscopic Models from Experimental Data

      • Mihaela Pop, Maxime Sermesant, Samuel Oduneye, Sudip Ghate, Labonny Biswas, Roey Flor et al.
      Pages 152-161

    5. Automatic Personalization of the Mitral Valve Biomechanical Model Based on 4D Transesophageal Echocardiography

      • Jingjing Kanik, Tommaso Mansi, Ingmar Voigt, Puneet Sharma, Razvan Ioan Ionasec, Dorin Comaniciu et al.
      Pages 162-170
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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 4th International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2013, held in conjunction with MICCAI 2013, in Nagoya, Japan, in September 2013. The 31 revised full papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on cardiac image processing; atlas construction; statistical modelling of cardiac function across different patient populations; cardiac mapping; cardiac computational physiology; model customization; atlas based functional analysis; ontological schemata for data and results; integrated functional and structural analyses; as well as the pre-clinical and clinical applicability of these methods.

Editors and Affiliations

  • Universitat Pompeu Fabra, Barcelona, Spain

    Oscar Camara

  • Siemens Corporation, Corporate Technology, Princeton, USA

    Tommaso Mansi

  • University of Toronto, Canada

    Mihaela Pop

  • King’s College London, UK

    Kawal Rhode

  • Inria, Sophia Antipolis, France

    Maxime Sermesant

  • University of Auckland, New Zealand

    Alistair Young

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