VISCERAL Anatomy3 Organ Segmentation Challenge

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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 Zurich { Computer Vision Lab Sternwartstrasse 7 8092 Zurich, Switzerland [e-mail] 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 eld of views, emphasis on anatomical segmentation in images with wide eld-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 speci c 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

Session Chair

Orcun Goksel, ETH Zurich, Switzerland

Proceedings Editors

Orcun Goksel, ETH Zurich, Switzerland

Oscar Jimenez, University of Applied Sciences Western Switzerland, Switzerland

Antonio Foncubierta, ETH Zurich, Switzerland

Henning Muller, University of Applied Sciences Western Switzerland, Switzerland

VISCERAL Consortium

Allan Hanbury, Vienna University of Technology, Austria (coordinator)

Henning Muller, University of Applied Sciences Western Switzerland, Switzerland

Georg Langs, Medical University of Vienna, Austria

Orcun Goksel, ETH Zurich, Switzerland

Bjoern Menze, Munich University of Technology, Germany

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

PART I: Organization and Evaluation PART II: Participant Submissions Fully Automatic Multi-Organ Segmentation Based on Multi-Boost Learning and

Statistical Shape Model Search

Baochun He, Cheng Huang, Fucang Jia Hierarchic Anatomical Structure Segmentation Guided by Spatial Correlations (AnatSeg-Gspac): VISCERAL Anatomy3 Oscar Alfonso Jimenez del Toro, Yashin Dicente Cid, Adrien Depeursinge, Henning Muller

E cient and fully automatic segmentation of the lungs in CT volumes

Yashin Dicente Cid, Oscar Alfonso Jimenez del Toro, Adrien Depeursinge, Henning Muller 6 12 18 22 27 31

References

Overview of the VISCERAL Challenge at ISBI 2015 Orcun Goksel , Antonio Foncubierta{Rodr guez, Oscar Alfonso Jimenez del Toro , Henning Muller, Georg Langs, Marc-Andre Weber , Bjoern Menze, Ivan Eggel, Katharina Gruenberg, Marianne Winterstein, Markus Holzer, Markus Krenn, Georgios Kontokotsios, Sokratis Metallidis, Roger Schaer, Abdel Aziz Taha, Andras Jakab, Tomas Salas Fernandez, Allan Hanbury