Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets
| Autor: | Reza Razavi, Yefeng Zheng, Jan Margeta, B. Michael Kelm, Sebastien Ourselin, Catalina Tobon-Gomez, Abdelaziz Daoudi, Saïd Mahmoudi, Nicholas Ayache, Jochen Peters, Kawal Rhode, Tobias Schaeffter, Julian Betancur, Zulma Sandoval, Mohammed Ammar, Jürgen Weese, Maria A. Zuluaga, Karen Pinto, A. J. Geers, Alexander Schlaefer, Mohammed Amine Chikh, Jean-Louis Dillenseger, Birgit Stender, Rashed Karim |
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| Přispěvatelé: | King‘s College London, Universitat Pompeu Fabra [Barcelona] (UPF), Philips Research Laboratories [Eindhoven], Laboratoire Génie BioMédical [Tlemcen] (GBM), Université Aboubekr Belkaid - University of Belkaïd Abou Bekr [Tlemcen], Université Tahri Mohamed Bechar [Bechar], Analysis and Simulation of Biomedical Images (ASCLEPIOS), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Universität zu Lübeck = University of Lübeck [Lübeck], Siemens Corporate Research [Princeton], Siemens Corporation - Corporate Technology, Centre for Medical Image Computing (CMIC), University College of London [London] (UCL), Université de Mons (UMons), Microsoft Research, National Institute for Health Research (NIHR) Guy’s and St. Thomas’ Biomedical Research Centre, NIHR University College London Hospitals Biomedical Research Centre (NIHR BRC UCLH/UCL High Impact Initiative-BW.mn.BRC10269), German BMBF, British EPSRC, French CardioUSgHIFU, ERC, ANR-11-TECS-0004,CardioUSgHIFU,Traitement des arythmies cardiaques par ultrasons focalisés guidés par échographie.(2011), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), Universität zu Lübeck [Lübeck], Jonchère, Laurent, Technologie pour la santé et l’autonomie - Traitement des arythmies cardiaques par ultrasons focalisés guidés par échographie. - - CardioUSgHIFU2011 - ANR-11-TECS-0004 - TecSan - VALID |
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
computerised tomography
Computer science Left atrium [INFO.INFO-IM] Computer Science [cs]/Medical Imaging medical image processing 030218 nuclear medicine & medical imaging left atrium 0302 clinical medicine 3D CT datasets MRI datasets Fibrosis cardiovascular disease Segmentation image segmentation Ground truth Benchmark testing Measurement atrial fibrillation ablation guidance Radiological and Ultrasound Technology medicine.diagnostic_test Shape Atrial fibrillation biophysical modelling evaluation code Magnetic Resonance Imaging Computer Science Applications medicine.anatomical_structure region growing approach [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV] fibrosis quantification Region growing pulmonary vein proximal sections [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] Left Atrial Segmentation Challenge Benchmark (computing) [SDV.IB]Life Sciences [q-bio]/Bioengineering electroanatomical mapping systems Algorithm ground truth [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing left atrial surface biomedical MRI physiological models statistical models diseases standardisation framework blood vessels 03 medical and health sciences Computed Tomography statistical analysis automatic segmentations medicine LA appendage trunk [INFO.INFO-IM]Computer Science [cs]/Medical Imaging Electrical and Electronic Engineering multiple input data [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing [SDV.IB] Life Sciences [q-bio]/Bioengineering Magnetic resonance imaging Statistical model Image segmentation medicine.disease anatomical regions left atrial anatomy Educational institutions cardiovascular system LASC LA segmentation 030217 neurology & neurosurgery Software |
| Zdroj: | IEEE Transactions on Medical Imaging IEEE Transactions on Medical Imaging, 2015, 34 (7), pp.1460--1473. ⟨10.1109/TMI.2015.2398818⟩ IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2015, 34 (7), pp.1460--1473. ⟨10.1109/TMI.2015.2398818⟩ |
| ISSN: | 0278-0062 |
| Popis: | International audience; Knowledge of left atrial (LA) anatomy is important for atrial fibrillation ablation guidance, fibrosis quantification and biophysical modelling. Segmentation of the LA from Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) images is a complex problem. This manuscript presents a benchmark to evaluate algorithms that address LA segmentation. The datasets, ground truth and evaluation code have been made publicly available through the http://www.cardiacatlas.org website. This manuscript also reports the results of the Left Atrial Segmentation Challenge (LASC) carried out at the STACOM'13 workshop, in conjunction with MICCAI'13. Thirty CT and 30 MRI datasets were provided to participants for segmentation. Each participant segmented the LA including a short part of the LA appendage trunk and proximal sections of the pulmonary veins (PVs). We present results for nine algorithms for CT and eight algorithms for MRI. Results showed that methodologies combining statistical models with region growing approaches were the most appropriate to handle the proposed task. The ground truth and automatic segmentations were standardised to reduce the influence of inconsistently defined regions (e.g., mitral plane, PVs end points, LA appendage). This standardisation framework, which is a contribution of this work, can be used to label and further analyse anatomical regions of the LA. By performing the standardisation directly on the left atrial surface, we can process multiple input data, including meshes exported from different electroanatomical mapping systems |
| Databáze: | OpenAIRE |
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