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dc.contributor.authorCheng, Chang-Chiehen_US
dc.contributor.authorHwu, Yeukuangen_US
dc.contributor.authorChing, Yu-Taien_US
dc.date.accessioned2019-04-03T06:47:28Z-
dc.date.available2019-04-03T06:47:28Z-
dc.date.issued2016-01-01en_US
dc.identifier.isbn978-1-5106-0018-8en_US
dc.identifier.issn0277-786Xen_US
dc.identifier.urihttp://dx.doi.org/10.1117/12.2216362en_US
dc.identifier.urihttp://hdl.handle.net/11536/135702-
dc.description.abstractThis paper presents a method of X-ray image acquisition for the high-resolution tomography reconstruction that uses a light source of synchrotron radiation to reconstruct a three-dimensional tomographic volume dataset for a nanoscale object. For large objects, because of the limited field-of-view, a projection image of an object should to be taken by several shots from different locations, and using an image stitching method to combine these image blocks together. In this study, the overlap of image blocks should be small because our light source is the synchrotron radiation and the X-ray dosage should be minimized as possible. We use the properties of synchrotron radiation to enable the image stitching and alignment success when the overlaps between adjacent image blocks are small. In this study, the size of overlaps can reach to 15% of the size of each image block. During the reconstruction, the mechanical stability should be considered because it leads the misalignment problem in tomography. We adopt the feature-based alignment method to solve this problem. Finally, we apply the proposed method for a kidney of mouse for verification.en_US
dc.language.isoen_USen_US
dc.subjectHigh-resolution tomographyen_US
dc.subjectX-ray microscopyen_US
dc.subjectimage stitchen_US
dc.subjectsynchrotron radiationen_US
dc.titleHigh-Resolution and Large-Volume Tomography Reconstruction for X-Ray Microscopyen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1117/12.2216362en_US
dc.identifier.journalMEDICAL IMAGING 2016: PHYSICS OF MEDICAL IMAGINGen_US
dc.citation.volume9783en_US
dc.citation.spage0en_US
dc.citation.epage0en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000378352900160en_US
dc.citation.woscount0en_US
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