A parameter for the assessment of the segmentation of TEM tomography reconstructed volumes based on mutual information

Ana Okariz; Teresa Guraya; Maider Iturrondobeitia; Julen Ibarretxe

doi:10.1016/j.micron.2017.09.012

A parameter for the assessment of the segmentation of TEM tomography reconstructed volumes based on mutual information

Micron. 2017 Dec:103:64-77. doi: 10.1016/j.micron.2017.09.012. Epub 2017 Sep 29.

Authors

Ana Okariz¹, Teresa Guraya², Maider Iturrondobeitia³, Julen Ibarretxe⁴

Affiliations

¹ eMERG, Fisika Aplikatua I Saila, Faculty of Engineering of Bilbao, University of the Basque Country, UPV/EHU, Rafael Moreno "Pitxitxi" Pasealekua 3, 48013 Bilbao, Spain. Electronic address: ana.okariz@ehu.eus.
² eMERG, Departamento de Ingeniería Minera y Metalúrgica y Ciencia de los Materiales, Faculty of Engineering of Bilbao, University of the Basque Country, UPV/EHU, Rafael Moreno "Pitxitxi" Pasealekua 3, 48013 Bilbao, Spain.
³ eMERG, Departamento de Expresión Gráfica y Proyectos de la Ingeniería, Faculty of Engineering of Bilbao, University of the Basque Country, UPV/EHU, Rafael Moreno "Pitxitxi" Pasealekua 3, 48013 Bilbao, Spain.
⁴ eMERG, Fisika Aplikatua I Saila, Faculty of Engineering of Bilbao, University of the Basque Country, UPV/EHU, Rafael Moreno "Pitxitxi" Pasealekua 3, 48013 Bilbao, Spain.

PMID: 28992457
DOI: 10.1016/j.micron.2017.09.012

Abstract

A method is proposed and verified for selecting the optimum segmentation of a TEM reconstruction among the results of several segmentation algorithms. The selection criterion is the accuracy of the segmentation. To do this selection, a parameter for the comparison of the accuracies of the different segmentations has been defined. It consists of the mutual information value between the acquired TEM images of the sample and the Radon projections of the segmented volumes. In this work, it has been proved that this new mutual information parameter and the Jaccard coefficient between the segmented volume and the ideal one are correlated. In addition, the results of the new parameter are compared to the results obtained from another validated method to select the optimum segmentation.

Keywords: Segmentation accuracy; Segmentation evaluation; TEM tomography.