Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets

Tobon‐Gomez, Catalina; J. Geers, Arjan; Peters, Jochen; Weese, Jürgen; Pinto, Karen; Karim, Rashed; Ammar, Mohammed; Daoudi, Abdelaziz; Margeta, Ján; Sandoval, Zulma; Stender, Birgit; Zheng, Yefeng; A. Zuluaga, María; Betancur, Julián; Ayache, Nicholas; Amine Chikh, Mohammed; Dillenseger, Jean‐Louis; Michael Kelm, B.; Mahmoudi, Saïd; Ourselin, Sébastien; Schlaefer, Alexander; Schaeffter, Tobias; Razavi, Reza; Rhode, Kawal

doi:10.1109/tmi.2015.2398818

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Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets

Published in IEEE Transactions on Medical Imaging • Feb 3, 2015

Authors:

Catalina Tobon‐Gomez

Arjan J. Geers

Jochen Peters

Abstract

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...

Subject

Segmentation

Computer science

Benchmark (surveying)

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