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VISCERAL@ISBI 2014
VISCERAL Organ Segmentation and
         Landmark Detection Challenge
at IEEE International Symposium on Biomedical Imaging 2014
Beijing, China, May 1, 2014

Proceedings


                                                             Orcun Goksel (Ed.)
⃝
c 2014 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.


Editor’s address:
Prof. Dr. Orcun Goksel
Swiss Federal Institute of Technology (ETH) Zürich
Computer Vision Laboratory
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 anatom-
ical segmentation and landmark localization in images with wide field-of-view (e.g. show-
ing entire abdomen, trunk, or the whole body) has been limited. VISCERAL Anatomy2
benchmark series, namely Organ Segmentation and Landmark Detection Benchmarks, aim
to address this need. This ISBI VISCERAL Challenge, a part of Anatomy2 series, has
been organized on May 1st 2014, within the IEEE International Symposium on Biomedical
Imaging (ISBI) in Beijing, China.
   The challenge participants have submitted segmentation and localization results two weeks
before the challenge session, that were evaluated against test data by the organizers with
results presented during the challenge session. Each participant presented his method in a
15 minute oral session during the challenge session. Participants also submitted short papers
summarizing their specific methodologies that were used to generate their results.
   This volume contains two parts. The first part consist of one paper authored by the
organizers of the challenge, and the second part presents a compilation of the submissions
by the challenge participants. We thank the authors for their submissions and the program
committee for their hard work.


                                                                          Orcun Goksel
                                                      On behalf of VISCERAL Consortium


                                             3
Session Chairs
Orçun Göksel, Swiss Federal Institute of Technology (ETH) Zürich, Switzerland
Bjoern Menze, Munich University of Technology (TUM), Germany


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
Marc-André Weber, University of Heidelberg, Germany
Tomàs Salas Fernandez, Catalan Agency for Health Information, Assessment and Quality, Spain


Contributing VISCERAL Team Members
Ivan Eggel, University of Applied Sciences Western Switzerland, Switzerland
Katharina Grünberg, University of Heidelberg, Germany
Markus Holzer, Medical University of Vienna, Austria
András Jakab, Medical University of Vienna, Austria
Oscar Jiménez, University of Applied Sciences Western Switzerland, Switzerland
Georgios Kontokotsios, Vienna University of Technology, Austria
Markus Krenn, Medical University of Vienna, Austria
Roger Schaer, University of Applied Sciences Western Switzerland, Switzerland
Abdel Aziz Taha, Vienna University of Technology, Austria
Marianne Winterstein, University of Heidelberg, Germany


                                             4
Contents

PART I: Organization and Evaluation
VISCERAL – VISual Concept Extraction challenge in RAdioLogy: ISBI 2014
  Challenge Organization
  Oscar Alfonso Jiménez del Toro, Orcun Goksel, Bjoern Menze, Henning Müller, Georg
  Langs, Marc-André Weber, Ivan Eggel, Katharina Gruenberg, Markus Holzer, András
  Jakab, Georgios Kontokotsios, Markus Krenn, Tomàs Salas Fernandez, Roger Schaer,
  Abdel Aziz Taha, Marianne Winterstein, Allan Hanbury                                6

PART II: Participant Submissions
Rule-Based Ventral Cavity Multi-Organ Automatic Segmentation in CT Scans
  Assaf B. Spanier, Leo Joskowicz                                        16

Automatic Liver Segmentation Using Multiple Prior Knowledge Models and
  Free-Form Deformation
  Cheng Huang, Xuhui Li, Fucang Jia                                    22

Automatic Multi-Organ Segmentation Using Fast Model Based Level Set
  Method and Hierarchical Shape Priors
  Chunliang Wang, Örjan Smedby                                     25

Hierarchical Multi-structure Segmentation Guided by Anatomical Correlations
   Oscar Alfonso Jiménez del Toro, Henning Müller                         32

Segmentation and Landmark Localization Based on Multiple Atlases
   Orcun Goksel, Tobias Gass, Gabor Szekely                                         37


                                         5

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