MARS-MD: rejection based image domain material decomposition

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dc.contributor.authorBateman, C.J.
dc.contributor.authorKnight, D.
dc.contributor.authorBrandwacht, B.
dc.contributor.authorMahon, J.M.
dc.contributor.authorHealy, J.
dc.contributor.authorPanta, R.
dc.contributor.authorAamir, R.
dc.contributor.authorRajendran, K.
dc.contributor.authorMoghiseh, M.
dc.contributor.authorRamyar, M.
dc.contributor.authorRundle, D.
dc.contributor.authorBennett, J.
dc.contributor.authorRuiter, N.D.
dc.contributor.authorSmithies, D.
dc.contributor.authorBell, S.T.
dc.contributor.authorDoesburg, R.
dc.contributor.authorChernoglazov, A.
dc.contributor.authorMandalika, V.B.H.
dc.contributor.authorWalsh, M.
dc.contributor.authorShamshad, M.
dc.contributor.authorAnjomrouz, M.
dc.contributor.authorAtharifard, A.
dc.contributor.authorBroeke, L.V.
dc.contributor.authorBheesette, S.
dc.contributor.authorKirkbride, T.
dc.contributor.authorAnderson, N.G.
dc.contributor.authorGieseg, Steven
dc.contributor.authorWoodfield, T.
dc.contributor.authorRenaud, P.F.
dc.contributor.authorButler, A.P.H.
dc.contributor.authorButler, P.H.
dc.date.accessioned2018-07-13T00:40:51Z
dc.date.available2018-07-13T00:40:51Z
dc.date.issued2018en
dc.date.updated2018-04-26T23:17:45Z
dc.description.abstractThis paper outlines image domain material decomposition algorithms that have been routinely used in MARS spectral CT systems. These algorithms (known collectively as MARS-MD) are based on a pragmatic heuristic for solving the under-determined problem where there are more materials than energy bins. This heuristic contains three parts: (1) splitting the problem into a number of possible sub-problems, each containing fewer materials; (2) solving each sub-problem; and (3) applying rejection criteria to eliminate all but one sub-problem's solution. An advantage of this process is that different constraints can be applied to each sub-problem if necessary. In addition, the result of this process is that solutions will be sparse in the material domain, which reduces crossover of signal between material images. Two algorithms based on this process are presented: the Segmentation variant, which uses segmented material classes to define each sub-problem; and the Angular Rejection variant, which defines the rejection criteria using the angle between reconstructed attenuation vectors.en
dc.identifier.urihttp://hdl.handle.net/10092/15667
dc.language.isoen
dc.subjectphysics.med-phen
dc.subjectComputerized Tomographyen
dc.subjectData processing methodsen
dc.subject.anzsrcFields of Research::51 - Physical sciences::5105 - Medical and biological physics::510502 - Medical physicsen
dc.subject.anzsrcField of Research::11 - Medical and Health Sciences::1103 - Clinical Sciences::110320 - Radiology and Organ Imagingen
dc.titleMARS-MD: rejection based image domain material decompositionen
dc.typeJournal Articleen
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