Evaluation of state-of-the-art segmentation algorithms for left ventricle infarct from late Gadolinium enhancement MR images
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- 作者：Rashed Karim ; a ; rashed.karim@kcl.ac.uk" class="auth_mail" title="E-mail the corresponding author ; Pranav Bhagirathb ; Piet Clausc ; R. James Housdena ; Zhong Chena ; Zahra Karimaghalood ; Hyon-Mok Sohna ; Laura Lara Rodrí ; gueze ; Sergio Verae ; Xè ; nia Albà ; f ; Anja Hennemuthg ; Heinz-Otto Peitgeng ; Tal Arbeld ; Miguel A. Gonzà ; lez Ballestere ; i ; j ; Alejandro F. Frangih ; Marco Gö ; tteb ; Reza Razavia ; Tobias Schaefftera ; Kawal Rhodea
- 关键词：Late Gadolinium enhancement ; Segmentation ; Algorithm benchmarking
- 刊名：Medical Image Analysis
- 出版年：2016
- 出版时间：May 2016
- 年：2016
- 卷：30
- 期：Complete
- 页码：95-107
- 全文大小：2046 K
文摘
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We present a standardisation for evaluating segmentation algorithms for late enhancement imaging of infarct in the left ventricle.
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We demonstrate that widely used fixed thresholding methods such as the standard deviation method can have inaccuracies and is user-dependent.
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We provide a consensus ground truth obtained with statistical modelling on the benchmark datasets. Future algorithms can thus be benchmarked to provide a more reliable result.