Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/43399
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dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorZou, W-
dc.creatorWang, J-
dc.creatorHu, D-
dc.creatorWang, W-
dc.date.accessioned2016-06-07T06:16:10Z-
dc.date.available2016-06-07T06:16:10Z-
dc.identifier.issn1475-925X-
dc.identifier.urihttp://hdl.handle.net/10397/43399-
dc.language.isoenen_US
dc.publisherBioMed Centralen_US
dc.rights© 2015 Zou etal. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.en_US
dc.rightsThe following publication Zou, W., Wang, J., Hu, D., & Wang, W. (2015). A reconstruction approach in wavelet domain for fluorescent molecular tomography via rotated sources illumination. Biomedical Engineering Online, 14, 86, 1-18 is available at https://dx.doi.org/10.1186/s12938-015-0080-yen_US
dc.subjectReconstructionen_US
dc.subjectTomographyen_US
dc.subjectWaveleten_US
dc.titleA reconstruction approach in wavelet domain for fluorescent molecular tomography via rotated sources illuminationen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.epage18-
dc.identifier.volume14-
dc.identifier.doi10.1186/s12938-015-0080-y-
dcterms.abstractBackground: Fluorescent molecular tomography (FMT) aims at reconstructing the spatial map of optical and fluorescence parameters from fluence measurements. Basically, solving large-scale matrix equations is computationally expensive for image reconstruction of FMT. Despite the reconstruction quality can be improved with more sources, it may result in higher computational costs for reconstruction. This article presents a novel method in the wavelet domain with rotated sources illumination. Methods: We use the finite element method for the computation of the forward model. The global inverse problem is solved based on wavelet in conjunction with principal component analysis. The iterative reconstruction is implemented with sources rotated in a certain angle. The original excitation light sources are used to reconstruct the image in the first iteration. Then, upon the sources are rotated by a certain angle, they are employed for the next iteration of reconstruction. Results: Simulation results demonstrate that our method can considerably reduce the time taken for the computation of inverse problem in FMT. Furthermore, the approach proposed is also shown to largely outperform the traditional method in terms of the precision of inverse solutions. Conclusions: Our method has the capability to locate the inclusions. The proposed method can significantly speed up the reconstruction process with the high reconstruction quality.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationBioMedical engineering online, 2015, v. 14, 86, p. 1-18-
dcterms.isPartOfBioMedical engineering online-
dcterms.issued2015-
dc.identifier.scopus2-s2.0-84942570418-
dc.identifier.artn86-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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