Development and validation of a reconstruction algorithm for three-dimensional nonlinear tomography problems

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dc.contributorVirginia Techen
dc.contributor.authorLei, Qingchunen
dc.contributor.authorWu, Yueen
dc.contributor.authorXu, Wenjiangen
dc.contributor.authorMa, Linen
dc.contributor.departmentMechanical Engineeringen
dc.date.accessioned2017-03-28T17:31:56Zen
dc.date.available2017-03-28T17:31:56Zen
dc.date.issued2016-07-06en
dc.description.abstractThis work reports the development and experimental validation of a reconstruction algorithm for three-dimensional (3D) nonlinear tomography problems. Many optical tomography problems encountered in practice are nonlinear, for example, due to significant absorption, multiple-scattering, or radiation trapping. Past research efforts have predominately focused on reconstruction algorithms for linear problems, and these algorithms are not readily extendable to nonlinear problems due to several challenges. These challenges include the computational cost caused by the nonlinearity (which was compounded by the large scale of the problems when they are 3D), the limited view angles available in many practical applications, and the measurement uncertainty. A new algorithm was therefore developed to overcome these challenges. The algorithm was validated both numerically and experimentally, and was demonstrated to be able to solve a range of nonlinear tomography problems with significantly enhanced efficiency and accuracy compared to existing algorithms.en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1364/OE.24.015912en
dc.identifier.issue14en
dc.identifier.urihttp://hdl.handle.net/10919/76705en
dc.identifier.volume24en
dc.language.isoen_USen
dc.publisherOptical Society of Americaen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.titleDevelopment and validation of a reconstruction algorithm for three-dimensional nonlinear tomography problemsen
dc.title.serialOptics Expressen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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