Skip to main content
SpringerLink
Log in

Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge

12th International Workshop, STACOM 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Revised Selected Papers

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Esther Puyol Antón

    1. King’s College London, London, UK

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Mihaela Pop

    1. Sunnybrook Research Institute, Toronto, Canada

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Carlos Martín-Isla

    1. Universitat de Barcelona, BCN-AIM Artificial Intelligence in Medicine Lab, Barcelona, Spain

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Maxime Sermesant

    1. Inria - Epione Group, Sophia Antipolis, France

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  5. Avan Suinesiaputra

    1. King’s College London, London, UK

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  6. Oscar Camara

    1. Pompeu Fabra University, Barcelona, Spain

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  7. Karim Lekadir

    1. University of Barcelona, Barcelona, Spain

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  8. Alistair Young

    1. King’s College London, London, UK

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13131)

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 2021.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 64.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 84.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (40 papers)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. Regular Papers

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Multi-atlas Segmentation of the Aorta from 4D Flow MRI: Comparison of Several Fusion Strategies

      • Diana M. Marin-Castrillon, Arnaud Boucher, Siyu Lin, Chloe Bernard, Marie-Catherine Morgant, Alexandre Cochet et al.
      Pages 3-11

    3. Quality-Aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled K-Space Data

      • Inês Machado, Esther Puyol-Antón, Kerstin Hammernik, Gastão Cruz, Devran Ugurlu, Bram Ruijsink et al.
      Pages 12-20

    4. Coronary Artery Centerline Refinement Using GCN Trained with Synthetic Data

      • Zhanqiang Guo, Yifan Zhang, Jianjiang Feng, Eddy Yang, Lan Qin, Jie Zhou
      Pages 21-28

    5. Novel Imaging Biomarkers to Evaluate Heart Dysfunction Post-chemotherapy: A Preclinical MRI Feasibility Study

      • Peter Lin, Terenz Escartin, Matthew Ng, Mengyuan Li, Melissa Larsen, Jennifer Barry et al.
      Pages 29-37

    6. A Bi-atrial Statistical Shape Model as a Basis to Classify Left Atrial Enlargement from Simulated and Clinical 12-Lead ECGs

      • Claudia Nagel, Matthias Schaufelberger, Olaf Dössel, Axel Loewe
      Pages 38-47

    7. Vessel Extraction and Analysis of Aortic Dissection

      • Hui Fang, Zhanqiang Guo, Guozhu Shao, Zimeng Tan, Jinyang Yu, Jia Liu et al.
      Pages 48-56

    8. The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Images

      • Devran Ugurlu, Esther Puyol-Antón, Bram Ruijsink, Alistair Young, Inês Machado, Kerstin Hammernik et al.
      Pages 57-65

    9. Characterizing Myocardial Ischemia and Reperfusion Patterns with Hierarchical Manifold Learning

      • Benoît Freiche, Patrick Clarysse, Magalie Viallon, Pierre Croisille, Nicolas Duchateau
      Pages 66-74

    10. Generating Subpopulation-Specific Biventricular Anatomy Models Using Conditional Point Cloud Variational Autoencoders

      • Marcel Beetz, Abhirup Banerjee, Vicente Grau
      Pages 75-83

    11. Improved AI-Based Segmentation of Apical and Basal Slices from Clinical Cine CMR

      • Jorge Mariscal-Harana, Naomi Kifle, Reza Razavi, Andrew P. King, Bram Ruijsink, Esther Puyol-Antón
      Pages 84-92

    12. Mesh Convolutional Neural Networks for Wall Shear Stress Estimation in 3D Artery Models

      • Julian Suk, Pim de Haan, Phillip Lippe, Christoph Brune, Jelmer M. Wolterink
      Pages 93-102

    13. Hierarchical Multi-modality Prediction Model to Assess Obesity-Related Remodelling

      • Gabriel Bernardino, Patrick Clarysse, Álvaro Sepúlveda-Martínez, Mérida Rodríguez-López, Susanna Prat-Gonzàlez, Marta Sitges et al.
      Pages 103-112

    14. Neural Angular Plaque Characterization: Automated Quantification of Polar Distribution for Plaque Composition

      • Hyungjoo Cho, Dongmin Choi, Hyun-Seok Min, Soo-Jin Kang, Hwiyoung Kim
      Pages 113-122

    15. Simultaneous Segmentation and Motion Estimation of Left Ventricular Myocardium in 3D Echocardiography Using Multi-task Learning

      • Kevinminh Ta, Shawn S. Ahn, John C. Stendahl, Jonathan Langdon, Albert J. Sinusas, James S. Duncan
      Pages 123-131

    16. Statistical Shape Analysis of the Tricuspid Valve in Hypoplastic Left Heart Syndrome

      • Jared Vicory, Christian Herz, David Allemang, Hannah H. Nam, Alana Cianciulli, Chad Vigil et al.
      Pages 132-140

    17. An Unsupervised 3D Recurrent Neural Network for Slice Misalignment Correction in Cardiac MR Imaging

      • Qi Chang, Zhennan Yan, Meng Ye, Kanski Mikael, Subhi Al’Aref, Leon Axel et al.
      Pages 141-150

    18. Unsupervised Multi-modality Registration Network Based on Spatially Encoded Gradient Information

      • Wangbin Ding, Lei Li, Liqin Huang, Xiahai Zhuang
      Pages 151-159

    19. In-silico Analysis of Device-Related Thrombosis for Different Left Atrial Appendage Occluder Settings

      • Eric Planas, Jordi Mill, Andy L. Olivares, Xabier Morales, Maria Isabel Pons, Xavier Iriart et al.
      Pages 160-168
Back to top

Other volumes

  1. Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge

Keywords

About this book

This book constitutes the proceedings of the 12th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2021, as well as the M&Ms-2 Challenge: Multi-Disease, Multi-View and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge.

The 25 regular workshop papers included in this volume were carefully reviewed and selected after being revised. They deal with cardiac imaging and image processing, machine learning applied to cardiac imaging and image analysis, atlas construction, artificial intelligence, statistical modelling of cardiac function across different patient populations, 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.

In addition, 15 papers from the M&MS-2 challenge are included in this volume. The Multi-Disease, Multi-View & Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge (M&Ms-2) is focusing on the development of generalizable deep learning models for the Right Ventricle that can maintain good segmentation accuracy on different centers, pathologies and cardiac MRI views. There was a total of 48 submissions to the workshop.


Editors and Affiliations

  • King’s College London, London, UK

    Esther Puyol Antón, Avan Suinesiaputra, Alistair Young

  • Sunnybrook Research Institute, Toronto, Canada

    Mihaela Pop

  • Universitat de Barcelona, BCN-AIM Artificial Intelligence in Medicine Lab, Barcelona, Spain

    Carlos Martín-Isla

  • Inria - Epione Group, Sophia Antipolis, France

    Maxime Sermesant

  • Pompeu Fabra University, Barcelona, Spain

    Oscar Camara

  • University of Barcelona, Barcelona, Spain

    Karim Lekadir

Bibliographic Information

  • Book Title: Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge

  • Book Subtitle: 12th International Workshop, STACOM 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Revised Selected Papers

  • Editors: Esther Puyol Antón, Mihaela Pop, Carlos Martín-Isla, Maxime Sermesant, Avan Suinesiaputra, Oscar Camara, Karim Lekadir, … Alistair Young

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-93722-5

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2022

  • Softcover ISBN: 978-3-030-93721-8Published: 15 January 2022

  • eBook ISBN: 978-3-030-93722-5Published: 14 January 2022

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XIII, 385

  • Number of Illustrations: 10 b/w illustrations, 139 illustrations in colour

  • Topics: Image Processing and Computer Vision, Machine Learning, Pattern Recognition, Computer Applications, Computing Milieux

Publish with us

Policies and ethics

Societies and partnerships

Back to top

Search

Navigation