A General Local Reconstruction Approach Based on a Truncated Hilbert Transform

Simple item page
dc.contributor.authorYe, Yangboen
dc.contributor.authorYu, Hengyongen
dc.contributor.authorWei, Yuchuanen
dc.contributor.authorWang, Geen
dc.contributor.departmentSchool of Biomedical Engineering and Sciencesen
dc.date.accessioned2017-09-18T10:05:35Zen
dc.date.available2017-09-18T10:05:35Zen
dc.date.issued2007-06-17en
dc.date.updated2017-09-18T10:05:35Zen
dc.description.abstractExact image reconstruction from limited projection data has been a central topic in the computed tomography (CT) field. In this paper, we present a general region-of-interest/volume-of-interest (ROI/VOI) reconstruction approach using a truly truncated Hilbert transform on a line-segment inside a compactly supported object aided by partial knowledge on one or both neighboring intervals of that segment. Our approach and associated new data sufficient condition allows the most flexible ROI/VOI image reconstruction from the minimum account of data in both the fan-beam and cone-beam geometry. We also report primary numerical simulation results to demonstrate the correctness and merits of our finding. Our work has major theoretical potentials and innovative practical applications.en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationYangbo Ye, Hengyong Yu, Yuchuan Wei, and Ge Wang, “A General Local Reconstruction Approach Based on a Truncated Hilbert Transform,” International Journal of Biomedical Imaging, vol. 2007, Article ID 63634, 8 pages, 2007. doi:10.1155/2007/63634en
dc.identifier.doihttps://doi.org/10.1155/2007/63634en
dc.identifier.urihttp://hdl.handle.net/10919/79076en
dc.language.isoenen
dc.publisherHindawien
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.holderCopyright © 2007 Yangbo Ye et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.titleA General Local Reconstruction Approach Based on a Truncated Hilbert Transformen
dc.title.serialInternational Journal of Biomedical Imagingen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

Files

Original bundle
Now showing 1 - 2 of 2
Name:
IJBI.2007.063634.xml
Size:
6.91 KB
Format:
Extensible Markup Language
Download
Thumbnail Image
Name:
IJBI.2007.063634.pdf
Size:
2.04 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
Name:
license.txt
Size:
1.5 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Journal Articles, Hindawi Press
Scholarly Works, School of Biomedical Engineering and Sciences