title: Right ventricle segmentation from cardiac MRI: a collation study.
abstract: Magnetic Resonance Imaging (MRI), a reference examination for cardiac morphology and function in humans, allows to image the cardiac right ventricle (RV) with high spatial resolution. The segmentation of the RV is a difficult task due to the variable shape of the RV and its ill-defined borders in these images. The aim of this paper is to evaluate several RV segmentation algorithms on common data. More precisely, we report here the results of the Right Ventricle Segmentation Challenge (RVSC), concretized during the MICCAI'12 Conference with an on-site competition. Seven automated and semi-automated methods have been considered, along them three atlas-based methods, two prior based methods, and two prior-free, image-driven methods that make use of cardiac motion. The obtained contours were compared against a manual tracing by an expert cardiac radiologist, taken as a reference, using Dice metric and Hausdorff distance. We herein describe the cardiac data composed of 48 patients, the evaluation protocol and the results. Best results show that an average 80% Dice accuracy and a 1cm Hausdorff distance can be expected from semi-automated algorithms for this challenging task on the datasets, and that an automated algorithm can reach similar performance, at the expense of a high computational burden. Data are now publicly available and the website remains open for new submissions (http://www.litislab.eu/rvsc/).
authors.affiliation: LITIS EA 4108, Université de Rouen, 76801 Saint-Etienne-du-Rouvray, France. Electronic address: Caroline.Petitjean@univ-rouen.fr.
authors.forename: Caroline
authors.initials: C
authors.lastname: Petitjean
authors.affiliation: Centre for Medical Image Computing, University College London, London, UK.
authors.forename: Maria A
authors.initials: MA
authors.lastname: Zuluaga
authors.affiliation: Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK.
authors.forename: Wenjia
authors.initials: W
authors.lastname: Bai
authors.affiliation: INSERM U1096, Université de Rouen, 76031 Rouen Cedex, France.
authors.forename: Jean-Nicolas
authors.initials: JN
authors.lastname: Dacher
authors.affiliation: LITIS EA 4108, Université de Rouen, 76801 Saint-Etienne-du-Rouvray, France.
authors.forename: Damien
authors.initials: D
authors.lastname: Grosgeorge
authors.affiliation: INSERM U1096, Université de Rouen, 76031 Rouen Cedex, France.
authors.forename: Jérôme
authors.initials: J
authors.lastname: Caudron
authors.affiliation: LITIS EA 4108, Université de Rouen, 76801 Saint-Etienne-du-Rouvray, France.
authors.forename: Su
authors.initials: S
authors.lastname: Ruan
authors.affiliation: GE Healthcare, London, Ontario, Canada.
authors.forename: Ismail Ben
authors.initials: IB
authors.lastname: Ayed
authors.affiliation: Centre for Medical Image Computing, University College London, London, UK.
authors.forename: M Jorge
authors.initials: MJ
authors.lastname: Cardoso
authors.affiliation: Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan.
authors.forename: Hsiang-Chou
authors.initials: HC
authors.lastname: Chen
authors.affiliation: Biomedical Image Technologies, Universidad Politécnica de Madrid and CIBERBBN, Spain.
authors.forename: Daniel
authors.initials: D
authors.lastname: Jimenez-Carretero
authors.affiliation: Biomedical Image Technologies, Universidad Politécnica de Madrid and CIBERBBN, Spain.
authors.forename: Maria J
authors.initials: MJ
authors.lastname: Ledesma-Carbayo
authors.affiliation: Section of Biomedical Image Analysis (SBIA), Department of Radiology, University of Pennsylvania, USA.
authors.forename: Christos
authors.initials: C
authors.lastname: Davatzikos
authors.affiliation: Section of Biomedical Image Analysis (SBIA), Department of Radiology, University of Pennsylvania, USA.
authors.forename: Jimit
authors.initials: J
authors.lastname: Doshi
authors.affiliation: Section of Biomedical Image Analysis (SBIA), Department of Radiology, University of Pennsylvania, USA.
authors.forename: Guray
authors.initials: G
authors.lastname: Erus
authors.affiliation: Biomedical Image Technologies, Universidad Politécnica de Madrid and CIBERBBN, Spain.
authors.forename: Oskar M O
authors.initials: OM
authors.lastname: Maier
authors.affiliation: Western University, Robarts Research Institute, London, Ontario, Canada.
authors.forename: Cyrus M S
authors.initials: CM
authors.lastname: Nambakhsh
authors.affiliation: Section of Biomedical Image Analysis (SBIA), Department of Radiology, University of Pennsylvania, USA; A.A. Martinos Biomedical Imaging Center, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.
authors.forename: Yangming
authors.initials: Y
authors.lastname: Ou
authors.affiliation: Centre for Medical Image Computing, University College London, London, UK.
authors.forename: Sébastien
authors.initials: S
authors.lastname: Ourselin
authors.affiliation: Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan.
authors.forename: Chun-Wei
authors.initials: CW
authors.lastname: Peng
authors.affiliation: National Heart and Lung Institute, St. Mary's Hospital, Imperial College London, UK.
authors.forename: Nicholas S
authors.initials: NS
authors.lastname: Peters
authors.affiliation: Western University, Robarts Research Institute, London, Ontario, Canada.
authors.forename: Terry M
authors.initials: TM
authors.lastname: Peters
authors.affiliation: Western University, Robarts Research Institute, London, Ontario, Canada.
authors.forename: Martin
authors.initials: M
authors.lastname: Rajchl
authors.affiliation: Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK.
authors.forename: Daniel
authors.initials: D
authors.lastname: Rueckert
authors.affiliation: Biomedical Image Technologies, Universidad Politécnica de Madrid and CIBERBBN, Spain.
authors.forename: Andres
authors.initials: A
authors.lastname: Santos
authors.affiliation: Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK.
authors.forename: Wenzhe
authors.initials: W
authors.lastname: Shi
authors.affiliation: Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan.
authors.forename: Ching-Wei
authors.initials: CW
authors.lastname: Wang
authors.affiliation: Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK.
authors.forename: Haiyan
authors.initials: H
authors.lastname: Wang
authors.affiliation: Western University, Robarts Research Institute, London, Ontario, Canada.
authors.forename: Jing
authors.initials: J
authors.lastname: Yuan
mesh_terms: D000465:Algorithms; D005260:Female; D006352:Heart Ventricles / Q000473:pathology*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D019028:Magnetic Resonance Imaging, Cine / Q000379:methods*; D008297:Male; D008875:Middle Aged; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique; D018487:Ventricular Dysfunction, Left / Q000473:pathology*
keywords: Cardiac MRI; Collation study; Right ventricle segmentation; Segmentation challenge; Segmentation method evaluation