Segmentation of Synchrotron Radiation micro-Computed Tomography Images using Energy Minimization via Graph Cuts

The research on applications of segmentation algorithms to Synchrotron Radiation X-Ray micro-Computed Tomography (SR-μCT) is an open problem, due to the interesting and well-known characteristics of SR images, such as the phase contrast effect. The Energy Minimization via Graph Cuts (EMvGC) algorith...

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Published inApplied radiation and isotopes Vol. 70; no. 7; pp. 1284 - 1287
Main Authors Meneses, Anderson A.M., Giusti, Alessandro, de Almeida, André P., Nogueira, Liebert, Braz, Delson, de Almeida, Carlos E., Barroso, Regina C.
Format Journal Article
LanguageEnglish
Published England Elsevier Ltd 01.07.2012
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Summary:The research on applications of segmentation algorithms to Synchrotron Radiation X-Ray micro-Computed Tomography (SR-μCT) is an open problem, due to the interesting and well-known characteristics of SR images, such as the phase contrast effect. The Energy Minimization via Graph Cuts (EMvGC) algorithm represents state-of-art segmentation algorithm, presenting an enormous potential of application in SR-μCT imaging. We describe the application of the algorithm EMvGC with swap move for the segmentation of bone images acquired at the ELETTRA Laboratory (Trieste, Italy). ► Microstructures of Wistar rats' ribs are investigated with Synchrotron Radiation μCT imaging. ► The present work is part of a research on the effects of radiotherapy on the thoracic region. ► Application of the Energy Minimization via Graph Cuts algorithm for segmentation is described.
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ISSN:0969-8043
1872-9800
DOI:10.1016/j.apradiso.2011.11.011