Segmentation of Synchrotron Radiation X-Ray µCT images using energy minimization via Graph Cuts for quantitative analysis

Author

De Moura Meneses, Anderson Alvarenga ; Giusti, Alessandro ; De Almeida, André Pereira ; Nogueira, Liebert ; Braz, Delson ; De Almeida, Carlos Eduardo ; Barroso, Regina Cely

Author_Institution

Fed. Univ. of Western Para, Sao Francisco, Brazil

fYear

2011

fDate

23-29 Oct. 2011

Firstpage

4270

Lastpage

4271

Abstract

Synchrotron Radiation (SR) X-Ray micro-Computed Tomography (μCT) enables magnified images that might be used as a non-invasive and non-destructive technique with a high space resolution for the qualitative and quantitative analysis of images. The research on applications of segmentation algorithms to SR-μCT is an open problem, due to the interesting and well-known characteristics of SR images for visualization, such as the high resolution, high brilliance and the phase contrast effect. We describe the application of the Energy Minimization via Graph Cuts algorithm (EMvGC) with swap move for the segmentation of SR-μCT images acquired at the Elettra Laboratory (Trieste, Italy). The EMvGC algorithm represents state-of-art segmentation algorithm which is fast and accurate, with outstanding results in several areas of computer vision, presenting an enormous potential of application in SR-μCT imaging.

Keywords

X-ray microscopy; computerised tomography; image resolution; image segmentation; medical image processing; minimisation; synchrotron radiation; EMvGC algorithm; Elettra laboratory; energy minimization analysis; graph cuts algorithm; high space resolution; nondestructive technique; noninvasive technique; qualitative analysis; quantitative analysis; segmentation algorithm; state-of-art segmentation algorithm; synchrotron radiation X-ray microcomputed tomography image segmentation; synchrotron radiation image characteristics; three-dimensional visualization; Image segmentation; Imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2011 IEEE

Conference_Location

Valencia

ISSN

1082-3654

Print_ISBN

978-1-4673-0118-3

Type

conf

DOI

10.1109/NSSMIC.2011.6153820

Filename

6153820