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

5th International Workshop, STACOM 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers

  • Oscar Camara
  • Tommaso Mansi
  • Mihaela Pop
  • Kawal Rhode
  • Maxime Sermesant
  • Alistair Young
Conference proceedings STACOM 2014

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8896)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 8896)

Table of contents

  1. Front Matter
    Pages I-XII
    PDF

  2. MoCo (Motion Correction) Challenge

    1. Front Matter
      Pages 1-1
      PDF
    2. Advanced Normalization Tools for Cardiac Motion Correction
      Nicholas J. Tustison, Yang Yang, Michael Salerno
      Pages 3-12
    3. Deformable Image Registration and Intensity Correction of Cardiac Perfusion MRI
      Mehran Ebrahimi, Sancgeetha Kulaseharan
      Pages 13-20
    4. Comparison of Linear and Non-linear 2D+T Registration Methods for DE-MRI Cardiac Perfusion Studies
      Gert Wollny, María-Jesus Ledesma-Carbayo
      Pages 21-31
    5. Motion Correction for Dynamic Contrast-Enhanced CMR Perfusion Images Using a Consecutive Finite Element Model Warping
      Nils Noorman, James Small, Avan Suinesiaputra, Brett Cowan, Alistair A. Young
      Pages 32-40
    6. Deformable and Rigid Model-Based Image Registration for Quantitative Cardiac Perfusion
      Devavrat Likhite, Ganesh Adluru, Edward DiBella
      Pages 41-50
    7. Automatic Perfusion Analysis Using Phase-Based Registration and Object-Based Image Analysis
      Lennart Tautz, Teodora Chitiboi, Anja Hennemuth
      Pages 51-60

  3. LV mechanics Challenge

    1. Front Matter
      Pages 61-61
      PDF
    2. Left Ventricular Diastolic and Systolic Material Property Estimation from Image Data
      Adarsh Krishnamurthy, Christopher Villongco, Amanda Beck, Jeffrey Omens, Andrew McCulloch
      Pages 63-73
    3. Evaluation of Personalised Canine Electromechanical Models
      Sophie Giffard-Roisin, Stéphanie Marchesseau, Loïc Le Folgoc, Hervé Delingette, Maxime Sermesant
      Pages 74-82
    4. Connection Forms for Beating the Heart
      Arthur Mensch, Emmanuel Piuze, Lucas Lehnert, Adrianus J. Bakermans, Jon Sporring, Gustav J. Strijkers et al.
      Pages 83-92
    5. Patient–Specific Parameter Estimation for a Transversely Isotropic Active Strain Model of Left Ventricular Mechanics
      Sjur Gjerald, Johan Hake, Simone Pezzuto, Joakim Sundnes, Samuel T. Wall
      Pages 93-104
    6. Estimation of Diastolic Biomarkers: Sensitiviy to Fibre Orientation
      Sander Land, Steve Niederer, Pablo Lamata
      Pages 105-113
    7. Fully-Coupled Electromechanical Simulations of the LV Dog Anatomy Using HPC: Model Testing and Verification
      Jazmin Aguado-Sierra, Alfonso Santiago, Matias I. Rivero, Mariña López-Yunta, David Soto-Iglesias, Lydia Dux-Santoy et al.
      Pages 114-122
    8. STACOM Challenge: Simulating Left Ventricular Mechanics in the Canine Heart
      Liya Asner, Myrianthi Hadjicharalambous, Jack Lee, David Nordsletten
      Pages 123-134
    9. Identifying Myocardial Mechanical Properties from MRI Using an Orthotropic Constitutive Model
      Zhinuo J. Wang, Vicky Y. Wang, Sue-Mun Huang, Justyna A. Niestrawska, Alistair A. Young, Martyn P. Nash
      Pages 135-144

  4. Regular papers

    1. Front Matter
      Pages 145-145
      PDF
    2. Evaluating Local Contractions from Large Deformations Using Affine Invariant Spectral Geometry
      Dan Raviv, Jon Lessick, Ramesh Raskar
      Pages 147-157
    3. Image-Based View-Angle Independent Cardiorespiratory Motion Gating for X-ray-Guided Interventional Electrophysiology Procedures
      Maria Panayiotou, Andrew P. King, R. James Housden, YingLiang Ma, Michael Truong, Michael Cooklin et al.
      Pages 158-167
    4. Analysis of Mitral Valve Motion in 4D Transesophageal Echocardiography for Transcatheter Aortic Valve Implantation
      Frank M. Weber, Thomas Stehle, Irina Waechter-Stehle, Michael Götz, Jochen Peters, Sabine Mollus et al.
      Pages 168-176
    5. Structural Abnormality Detection of ARVC Patients via Localised Distance-to-Average Mapping
      Kristin McLeod, Marcus Noack, Jørg Saberniak, Kristina Haugaa
      Pages 177-186
    6. Joint Myocardial Motion and Contraction Phase Estimation from Cine MRI Using Variational Data Assimilation
      Viateur Tuyisenge, Laurent Sarry, Thomas Corpetti, Elisabeth Innorta-Coupez, Lemlih Ouchchane, Lucie Cassagnes
      Pages 187-195
    7. Segmentation of the Aortic Valve Apparatus in 3D Echocardiographic Images: Deformable Modeling of a Branching Medial Structure
      Alison M. Pouch, Sijie Tian, Manabu Takabe, Hongzhi Wang, Jiefu Yuan, Albert T. Cheung et al.
      Pages 196-203
    8. Estimation of Regional Electrical Properties of the Heart from 12-Lead ECG and Images
      Philipp Seegerer, Tommaso Mansi, Marie-Pierre Jolly, Dominik Neumann, Bogdan Georgescu, Ali Kamen et al.
      Pages 204-212
    9. Multi-source Motion Decoupling Ablation Catheter Guidance for Electrophysiology Procedures
      Mihaela Constantinescu, Su-Lin Lee, Sabine Ernst, Guang-Zhong Yang
      Pages 213-220
    10. Statistical Model of Paroxysmal Atrial Fibrillation Catheter Ablation Targets for Pulmonary Vein Isolation
      Ahmad Al-Agamy, Rashed Karim, Aruna Arujuna, James L. Harrison, Steven E. Williams, Kawal S. Rhode et al.
      Pages 221-230
    11. Factors Affecting Optical Flow Performance in Tagging Magnetic Resonance Imaging
      Patricia Márquez-Valle, Hanne Kause, Andrea Fuster, Aura Hernàndez-Sabaté, Luc Florack, Debora Gil et al.
      Pages 231-238
    12. Multi-modal Validation Framework of Mitral Valve Geometry and Functional Computational Models
      Sasa Grbic, Thomas F. Easley, Tommaso Mansi, Charles H. Bloodworth, Eric L. Pierce, Ingmar Voigt et al.
      Pages 239-248
    13. Robust Detection of Mitral Papillary Muscle from 4D Transesophageal Echocardiography
      Mihai Scutaru, Ingmar Voigt, Tommaso Mansi, Anand Tatpati, Razvan Ionasec, Helene Houle et al.
      Pages 249-256
    14. Reusability of Statistical Shape Models for the Segmentation of Severely Abnormal Hearts
      Xènia Albà, Karim Lekadir, Corné Hoogendoorn, Marco Pereanez, Andrew J. Swift, Jim M. Wild et al.
      Pages 257-264
    15. Registration of Real-Time and Prior Imaging Data with Applications to MR Guided Cardiac Interventions
      Robert Xu, Graham A. Wright
      Pages 265-274
    16. Restoration of Phase-Contrast Cardiovascular MRI for the Construction of Cardiac Contractility Atlases
      Christina Koutsoumpa, Robin Simpson, Jennifer Keegan, David Firmin, Guang-Zhong Yang
      Pages 275-283
    17. Manifold Learning for Cardiac Modeling and Estimation Framework
      Radomir Chabiniok, Kanwal K. Bhatia, Andrew P. King, Daniel Rueckert, Nic Smith
      Pages 284-294
  5. Back Matter
    Pages 295-296
    PDF

About these proceedings

Introduction

This book constitutes the thoroughly refereed post-conference proceedings of the 5th International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2014, held in conjunction with MICCAI 2014, in Boston, MA, USA, in September 2014. The 30 revised full papers were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics such as 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.

Keywords

Applied Computing Cardiac image analysis Health informatics Image processing Image registration LV geometry Left Ventricular Life and Medical Sciences MR images Magnetic resonance Medical image analysis Modeling Motion correction Myocardial perfusion imaging Statistical Models

Editors and affiliations

  • Oscar Camara
    • 1
  • Tommaso Mansi
    • 2
  • Mihaela Pop
    • 3
  • Kawal Rhode
    • 4
  • Maxime Sermesant
    • 5
  • Alistair Young
    • 6
  1. 1.University Pompeu FabraBarcelonaSpain
  2. 2.Siemens Corporate TechnologyPrincetonUSA
  3. 3.Sunnybrook Research InstituteTorontoCanada
  4. 4.St. Thomas HospitalLondonUnited Kingdom
  5. 5.InriaSophia AntipolisFrance
  6. 6.University of AucklandAucklandNew Zealand

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-14678-2
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-14677-5
  • Online ISBN 978-3-319-14678-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site