Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/52758
DC FieldValue
dc.titleA PIXE micro-tomography experiment using MLEM algorithm
dc.contributor.authorNg, Y.K.
dc.contributor.authorOrlic, I.
dc.contributor.authorLiew, S.C.
dc.contributor.authorLoh, K.K.
dc.contributor.authorTang, S.M.
dc.contributor.authorOsipowicz, T.
dc.contributor.authorWatt, F.
dc.date.accessioned2014-05-19T02:49:38Z
dc.date.available2014-05-19T02:49:38Z
dc.date.issued1997-07
dc.identifier.citationNg, Y.K.,Orlic, I.,Liew, S.C.,Loh, K.K.,Tang, S.M.,Osipowicz, T.,Watt, F. (1997-07). A PIXE micro-tomography experiment using MLEM algorithm. Nuclear Instruments and Methods in Physics Research, Section B: Beam Interactions with Materials and Atoms 130 (1-4) : 109-112. ScholarBank@NUS Repository.
dc.identifier.issn0168583X
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/52758
dc.description.abstractA new approach for PIXE tomography has recently been introduced by our group. The reconstruction program is based on the maximum likelihood expectation maximization (MLEM) algorithm. Since the algorithm is built upon the actual stochastic model of X-ray production and propagation, attenuation correction as well as ion energy loss are readily incorporated into the reconstruction. The resultant procedures have been previously tested by using simulated X-ray yields and the results were given in an earlier paper. In this work, we present the results of the tomographic reconstruction of a realistic sample done in order to study the effectiveness of the algorithm.
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentCTR FOR REM IMAGING,SENSING & PROCESSING
dc.contributor.departmentPHYSICS
dc.description.sourcetitleNuclear Instruments and Methods in Physics Research, Section B: Beam Interactions with Materials and Atoms
dc.description.volume130
dc.description.issue1-4
dc.description.page109-112
dc.description.codenNIMBE
dc.identifier.isiutNOT_IN_WOS
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