Advertisement

Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges

10th International Workshop, STACOM 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Revised Selected Papers

  • Mihaela Pop
  • Maxime Sermesant
  • Oscar Camara
  • Xiahai Zhuang
  • Shuo Li
  • Alistair Young
  • Tommaso Mansi
  • Avan Suinesiaputra
Conference proceedings STACOM 2019

Part of the Lecture Notes in Computer Science book series (LNCS, volume 12009)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 12009)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Regular Papers

    1. Front Matter
      Pages 1-1
    2. Peter Lin, Anne Martel, Susan Camilleri, Mihaela Pop
      Pages 3-11
    3. Shu Wang, Harminder Gill, Weifeng Wan, Helen Tricker, Joao Filipe Fernandes, Yohan Noh et al.
      Pages 12-21
    4. Esther Puyol-Antón, Bram Ruijsink, James R. Clough, Ilkay Oksuz, Daniel Rueckert, Reza Razavi et al.
      Pages 22-30
    5. Yimin Luo, Daniel Toth, Kui Jiang, Kuberan Pushparajah, Kawal Rhode
      Pages 31-42
    6. Zimeng Tan, Yongjie Duan, Ziyi Wu, Jianjiang Feng, Jie Zhou
      Pages 43-51
    7. Vera H. J. van Hal, Debbie Zhao, Kathleen Gilbert, Thiranja P. Babarenda Gamage, Charlene Mauger, Robert N. Doughty et al.
      Pages 52-62
    8. Zhaohan Xiong, Aaqel Nalar, Kevin Jamart, Martin K. Stiles, Vadim V. Fedorov, Jichao Zhao
      Pages 63-71
    9. Andriy Myronenko, Dong Yang, Varun Buch, Daguang Xu, Alvin Ihsani, Sean Doyle et al.
      Pages 72-80
    10. Kevin Jamart, Zhaohan Xiong, Gonzalo Maso Talou, Martin K. Stiles, Jichao Zhao
      Pages 81-89
    11. Sofie Tilborghs, Tom Dresselears, Piet Claus, Jan Bogaert, Frederik Maes
      Pages 90-99
    12. Gaëtan Desrues, Hervé Delingette, Maxime Sermesant
      Pages 100-108
    13. Maxime Di Folco, Patrick Clarysse, Pamela Moceri, Nicolas Duchateau
      Pages 119-127
    14. Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Colin Stirrat, Scott Semple, David Newby et al.
      Pages 128-137
    15. Kobe Bamps, Stijn De Buck, Jeroen Bertels, Rik Willems, Christophe Garweg, Peter Haemers et al.
      Pages 138-146
    16. Yingyu Yang, Stephane Gillon, Jaume Banus, Pamela Moceri, Maxime Sermesant
      Pages 147-156
    17. Xabier Morales, Jordi Mill, Kristine A. Juhl, Andy Olivares, Guillermo Jimenez-Perez, Rasmus R. Paulsen et al.
      Pages 157-166
    18. Alexandre Legay, Thomas Tiennot, Jean-François Gelly, Maxime Sermesant, Jean Bulté
      Pages 167-175
    19. Julian Krebs, Tommaso Mansi, Nicholas Ayache, Hervé Delingette
      Pages 176-185
    20. Huaqi Qiu, Chen Qin, Loic Le Folgoc, Benjamin Hou, Jo Schlemper, Daniel Rueckert
      Pages 186-194
  3. Multi-Sequence Cardiac MR Segmentation Challenge

    1. Front Matter
      Pages 195-195
    2. Buntheng Ly, Hubert Cochet, Maxime Sermesant
      Pages 197-208
    3. Chen Chen, Cheng Ouyang, Giacomo Tarroni, Jo Schlemper, Huaqi Qiu, Wenjia Bai et al.
      Pages 209-219
    4. Yashu Liu, Wei Wang, Kuanquan Wang, Chengqin Ye, Gongning Luo
      Pages 220-227
    5. Holger Roth, Wentao Zhu, Dong Yang, Ziyue Xu, Daguang Xu
      Pages 228-236
    6. Tao Liu, Yun Tian, Shifeng Zhao, XiaoYing Huang, Yang Xu, Gaoyuan Jiang et al.
      Pages 237-245
    7. Xiyue Wang, Sen Yang, Mingxuan Tang, Yunpeng Wei, Xiao Han, Ling He et al.
      Pages 246-253
    8. Jiexiang Wang, Hongyu Huang, Chaoqi Chen, Wenao Ma, Yue Huang, Xinghao Ding
      Pages 254-262
    9. Rencheng Zheng, Xingzhong Zhao, Xingming Zhao, He Wang
      Pages 263-270
    10. Xumin Tao, Hongrong Wei, Wufeng Xue, Dong Ni
      Pages 271-279
    11. Víctor M. Campello, Carlos Martín-Isla, Cristian Izquierdo, Steffen E. Petersen, Miguel A. González Ballester, Karim Lekadir
      Pages 290-299
    12. Sulaiman Vesal, Nishant Ravikumar, Andreas Maier
      Pages 300-308
  4. CRT-EPiggy19 Challenge

  5. LV-Full Quantification Challenge

    1. Front Matter
      Pages 373-373
    2. Jorge Corral Acero, Hao Xu, Ernesto Zacur, Jurgen E. Schneider, Pablo Lamata, Alfonso Bueno-Orovio et al.
      Pages 384-394
  6. Back Matter
    Pages 415-417

About these proceedings

Introduction

This book constitutes the thoroughly refereed post-workshop proceedings of the 10th International Workshop on Statistical Atlases and Computational Models of the Heart: Atrial Segmentation and LV Quantification Challenges, STACOM 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019.

The 42 revised full workshop papers were carefully reviewed and selected from 76 submissions. The topics of the workshop included: cardiac imaging and image processing, machine learning applied to cardiac imaging and image analysis, atlas construction, 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.

Keywords

artificial intelligence automatic segmentations CFD color image processing computer vision CRT deep learning image analysis image processing image quality image reconstruction image segmentation left ventricle quantification machine learning medical images multi-modality cardiac imaging neural networks object recognition pattern recognition segmentation methods

Editors and affiliations

  • Mihaela Pop
    • 1
  • Maxime Sermesant
    • 2
  • Oscar Camara
    • 3
  • Xiahai Zhuang
    • 4
  • Shuo Li
    • 5
  • Alistair Young
    • 6
  • Tommaso Mansi
    • 7
  • Avan Suinesiaputra
    • 8
  1. 1.University of TorontoTorontoCanada
  2. 2.InriaSophia AntipolisFrance
  3. 3.Pompeu Fabra UniversityBarcelonaSpain
  4. 4.Fudan UniversityShanghaiChina
  5. 5.St Joseph’s Health CareLondonCanada
  6. 6.King’s College LondonLondonUK
  7. 7.Siemens Medical Solutions USA, Inc.PrincetonUSA
  8. 8.University of AucklandAucklandNew Zealand

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-39074-7
  • Copyright Information Springer Nature Switzerland AG 2020
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-39073-0
  • Online ISBN 978-3-030-39074-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site