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...
Saved in:
Published in | Applied radiation and isotopes Vol. 70; no. 7; pp. 1284 - 1287 |
---|---|
Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Elsevier Ltd
01.07.2012
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
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. |
---|---|
Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0969-8043 1872-9800 |
DOI: | 10.1016/j.apradiso.2011.11.011 |