A preparatory study to choose similarity metrics for left-ventricle segmentations comparison

Samuel De Sousa Silva; Beatriz Sousa Santos; Carlos Ferreira; Joaquim Madeira; Augusto Silva

doi:10.1117/12.878294

8 March 2011 A preparatory study to choose similarity metrics for left-ventricle segmentations comparison

Samuel De Sousa Silva, Beatriz Sousa Santos, Carlos Ferreira, Joaquim Madeira, Augusto Silva

Proceedings Volume 7963, Medical Imaging 2011: Computer-Aided Diagnosis; 796326 (2011) https://doi.org/10.1117/12.878294
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States

Abstract

In medical image processing and analysis it is often required to perform segmentation for quantitative measures of extent, volume and shape. The validation of new segmentation methods and tools usually implies comparing their various outputs among themselves (or with a ground truth), using similarity metrics. Several such metrics are proposed in the literature but it is important to select those which are relevant for a particular task as opposed to using all metrics and therefore avoiding additional computational cost and redundancy. A methodology is proposed which enables the assessment of how different similarity and discrepancy metrics behave for a particular comparison and the selection of those which provide relevant data.

Citation Download Citation

Samuel De Sousa Silva, Beatriz Sousa Santos, Carlos Ferreira, Joaquim Madeira, and Augusto Silva "A preparatory study to choose similarity metrics for left-ventricle segmentations comparison", Proc. SPIE 7963, Medical Imaging 2011: Computer-Aided Diagnosis, 796326 (8 March 2011); https://doi.org/10.1117/12.878294

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