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

  • Oscar Camara
  • Tommaso Mansi
  • Mihaela Pop
  • Kawal Rhode
  • Maxime Sermesant
  • Alistair Young
Conference proceedings STACOM 2013

DOI: 10.1007/978-3-642-54268-8

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

Table of contents (31 papers)

  1. Front Matter
  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. 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
    4. 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
    5. 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
    6. 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. 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
    3. 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
    4. 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

About these proceedings


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.


chaos concept computational fluid dynamics magnetic resonance imaging medical image analysis ultrasound

Editors and affiliations

  • Oscar Camara
    • 1
  • Tommaso Mansi
    • 2
  • Mihaela Pop
    • 3
  • Kawal Rhode
    • 4
  • Maxime Sermesant
    • 5
  • Alistair Young
    • 6
  1. 1.Universitat Pompeu FabraBarcelonaSpain
  2. 2.Siemens Corporation, Corporate TechnologyPrincetonUSA
  3. 3.University of TorontoCanada
  4. 4.King’s College LondonUK
  5. 5.InriaSophia AntipolisFrance
  6. 6.University of AucklandNew Zealand

Bibliographic information

  • Copyright Information Springer-Verlag Berlin Heidelberg 2014
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-54267-1
  • Online ISBN 978-3-642-54268-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349