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Biomedical Image Registration

9th International Workshop, WBIR 2020, Portorož, Slovenia, December 1–2, 2020, Proceedings

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Žiga Špiclin

    1. Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia

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  2. Jamie McClelland

    1. Centre for Medical Image Computing, University College London, London, UK

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  3. Jan Kybic

    1. Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic

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  4. Orcun Goksel

    1. Computer Vision Lab, ETH Zurich, Zurich, Switzerland

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12120)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: WBIR 2020.

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Table of contents (16 papers)

  1. Front Matter

    Pages i-x
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  2. Registration Initialization and Acceleration

    1. Front Matter

      Pages 1-1
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    2. Nonlinear Alignment of Whole Tractograms with the Linear Assignment Problem

      • Emanuele Olivetti, Pietro Gori, Pietro Astolfi, Giulia Bertó, Paolo Avesani
      Pages 3-11

    3. Learning-Based Affine Registration of Histological Images

      • Marek Wodzinski, Henning Müller
      Pages 12-22

    4. Enabling Manual Intervention for Otherwise Automated Registration of Large Image Series

      • Roman Grothausmann, Dženan Zukić, Matt McCormick, Christian Mühlfeld, Lars Knudsen
      Pages 23-33

    5. Towards Segmentation and Spatial Alignment of the Human Embryonic Brain Using Deep Learning for Atlas-Based Registration

      • Wietske A. P. Bastiaansen, Melek Rousian, Régine P. M. Steegers-Theunissen, Wiro J. Niessen, Anton Koning, Stefan Klein
      Pages 34-43

    6. Learning Deformable Image Registration with Structure Guidance Constraints for Adaptive Radiotherapy

      • Sven Kuckertz, Nils Papenberg, Jonas Honegger, Tomasz Morgas, Benjamin Haas, Stefan Heldmann
      Pages 44-53

  3. Interventional Registration

    1. Front Matter

      Pages 55-55
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    2. Multilevel 2D-3D Intensity-Based Image Registration

      • Annkristin Lange, Stefan Heldmann
      Pages 57-66

    3. Towards Automated Spine Mobility Quantification: A Locally Rigid CT to X-ray Registration Framework

      • David Drobny, Marta Ranzini, Amanda Isaac, Tom Vercauteren, Sébastien Ourselin, David Choi et al.
      Pages 67-77

  4. Landmark Based Registration

    1. Front Matter

      Pages 79-79
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    2. Reinforced Redetection of Landmark in Pre- and Post-operative Brain Scan Using Anatomical Guidance for Image Alignment

      • Diana Waldmannstetter, Fernando Navarro, Benedikt Wiestler, Jan S. Kirschke, Anjany Sekuboyina, Ester Molero et al.
      Pages 81-90

    3. Deep Volumetric Feature Encoding for Biomedical Images

      • Brian Avants, Elliot Greenblatt, Jacob Hesterman, Nicholas Tustison
      Pages 91-100

  5. Multi-channel Registration

    1. Front Matter

      Pages 101-101
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    2. Multi-channel Image Registration of Cardiac MR Using Supervised Feature Learning with Convolutional Encoder-Decoder Network

      • Xuesong Lu, Yuchuan Qiao
      Pages 103-110

    3. Multi-channel Registration for Diffusion MRI: Longitudinal Analysis for the Neonatal Brain

      • Alena Uus, Maximilian Pietsch, Irina Grigorescu, Daan Christiaens, Jacques-Donald Tournier, Lucilio Cordero Grande et al.
      Pages 111-121

    4. An Image Registration-Based Method for EPI Distortion Correction Based on Opposite Phase Encoding (COPE)

      • Hester Breman, Joost Mulders, Levin Fritz, Judith Peters, John Pyles, Judith Eck et al.
      Pages 122-130

    5. Diffusion Tensor Driven Image Registration: A Deep Learning Approach

      • Irina Grigorescu, Alena Uus, Daan Christiaens, Lucilio Cordero-Grande, Jana Hutter, A. David Edwards et al.
      Pages 131-140

    6. Multimodal MRI Template Creation in the Ring-Tailed Lemur and Rhesus Macaque

      • Frederik J. Lange, Stephen M. Smith, Mads F. Bertelsen, Alexandre A. Khrapitchev, Paul R. Manger, Rogier B. Mars et al.
      Pages 141-150

  6. Sliding Motion

    1. Front Matter

      Pages 151-151
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Other volumes

  1. Biomedical Image Registration

Keywords

About this book

This book constitutes the refereed proceedings of the 9th International Workshop on Biomedical Image Registration, WBIR 2020, which was supposed to be held in Portorož, Slovenia, in June 2020. The conference was postponed until December 2020 due to the COVID-19 pandemic.

The 16 full and poster papers included in this volume were carefully reviewed and selected from 22 submitted papers. The papers are organized in the following topical sections: Registration initialization and acceleration, interventional registration, landmark based registration, multi-channel registration, and sliding motion.

Editors and Affiliations

  • Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia

    Žiga Špiclin

  • Centre for Medical Image Computing, University College London, London, UK

    Jamie McClelland

  • Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic

    Jan Kybic

  • Computer Vision Lab, ETH Zurich, Zurich, Switzerland

    Orcun Goksel

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