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VISCERAL@ISBI 2015
VISCERAL Anatomy3 Organ Segmentation Challenge
co-located with IEEE International Symposium on Biomedical Imaging 2015
New York, NY, USA, April 16, 2015


Proceedings




                                                                      Orcun Goksel
                                                     Oscar Alfonso Jiménez del Toro
                                                     Antonio Foncubierta Rodrı́guez
                                                                     Henning Müller
                                                                              (Eds.)
c 2015 for the individual papers by the papers’ authors.
Copying permitted only for private and academic purposes.
Re-publication of material from this volume requires permission by the copyright owners.



Corresponding editor’s address:
Prof. Dr. Orcun Goksel
ETH Zürich – Computer Vision Lab
Sternwartstrasse 7
8092 Zürich, Switzerland
ogoksel@ethz.ch
Preface
VISCERAL (Visual Concept Extraction Challenge in Radiology) aims to organize series of
benchmarks on the processing of large-scale 3D radiology images, by using an innovative
cloud-based evaluation approach.
   While a growing number of benchmark studies compare the performance of algorithms
for automated organ segmentation in images with restricted field of views, emphasis on
anatomical segmentation in images with wide field-of-view (e.g. showing entire abdomen,
trunk, or the whole body) has been limited. VISCERAL Anatomy benchmark series aim
to address this need by providing a common image and test dataset and corresponding
segmentation challenges for a wide range of anatomical structures and image modalities.
This proceedings summarize the techniques submitted for Anatomy3 benchmark, the results
of which were also presented at the ISBI VISCERAL Challenge session on April 16th 2014,
as part of the IEEE International Symposium on Biomedical Imaging (ISBI) in New York,
NY, USA.
   The challenge participants used an online evaluation system, where they submitted their
algorithms in a virtual machine environment. The organisers then run the virtual machines
on the test images and populated the segmentation results in a participant viewable results
board. Then, the participants could at their discretion upload their results to a public
leaderboard. The results from the methods presented here were published in the online
leaderboard two weeks before the challenge session.
   The short papers in this proceedings were submitted by the participants to describe their
specific methodologies used to generate their results. At the session, participants had a
chance to present their methods as oral presentations.
   We thank the authors for their submissions and the program committee for their hard
work.


                                                                       Proceeding editors
                                                      On behalf of VISCERAL Consortium




                                             3
Session Chair
Orçun Göksel, ETH Zürich, Switzerland


Proceedings Editors
Orçun Göksel, ETH Zürich, Switzerland
Oscar Jiménez, University of Applied Sciences Western Switzerland, Switzerland
Antonio Foncubierta, ETH Zürich, Switzerland
Henning Müller, University of Applied Sciences Western Switzerland, Switzerland


VISCERAL Consortium
Allan Hanbury, Vienna University of Technology, Austria (coordinator)
Henning Müller, University of Applied Sciences Western Switzerland, Switzerland
Georg Langs, Medical University of Vienna, Austria
Orçun Göksel, ETH Zürich, Switzerland
Bjoern Menze, Munich University of Technology, Germany
Marc-André Weber, University of Heidelberg, Germany
Tomàs Salas Fernandez, Catalan Agency for Health Information, Assessment and Quality, Spain




                                            4
Contents

PART I: Organization and Evaluation
Overview of the VISCERAL Challenge at ISBI 2015
  Orcun Goksel, Antonio Foncubierta–Rodrı́guez, Oscar Alfonso Jiménez del Toro,
  Henning Müller, Georg Langs, Marc-André Weber, Bjoern Menze, Ivan Eggel,
  Katharina Gruenberg, Marianne Winterstein, Markus Holzer, Markus Krenn, Georgios
  Kontokotsios, Sokratis Metallidis, Roger Schaer, Abdel Aziz Taha, András Jakab, Tomàs
  Salas Fernandez, Allan Hanbury                                                          6

PART II: Participant Submissions
Good Features for Reliable Registration in Multi-Atlas Segmentation
  Fredrik Kahl, Jennifer Alvén, Olof Enqvist, Frida Fejne, Johannes Ulé, Johan
  Fredriksson, Matilda Landgren, Viktor Larsson                                  12

Fully Automatic Multi-Organ Segmentation Based on Multi-Boost Learning and
   Statistical Shape Model Search
   Baochun He, Cheng Huang, Fucang Jia                                     18

Hierarchic Anatomical Structure Segmentation Guided by Spatial Correlations
   (AnatSeg-Gspac): VISCERAL Anatomy3
   Oscar Alfonso Jiménez del Toro, Yashin Dicente Cid, Adrien Depeursinge, Henning
   Müller                                                                          22

Multi-modal Multi-Atlas Segmentation using Discrete Optimisation and Self-
  Similarities
  Mattias P. Heinrich, Oskar Maier, Heinz Handels                          27

Efficient and fully automatic segmentation of the lungs in CT volumes
   Yashin Dicente Cid, Oscar Alfonso Jiménez del Toro, Adrien Depeursinge, Henning
   Müller                                                                          31




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