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Most past works have considered the steady\u2010state ERT or the diffusion approximation of the ERT. In both cases, substantial cross\u2010talk has been observed in the reconstruction of the absorption and scattering properties of inclusions. In this paper, we present an optical tomographic reconstruction algorithm based on the frequency\u2010domain ERT. The inverse problem is formulated as a regularized least\u2010squares minimization problem, in which the mismatch between forward model predictions and measurements is minimized. The ERT is discretized by using a discrete ordinates method for the directional variables and a finite volume method for the spatial variables. A limited\u2010memory quasi\u2010Newton algorithm is used to minimize the least\u2010squares functional. Numerical simulations with synthetic data show that the cross\u2010talk between the two optical parameters is significantly reduced in reconstructions based on frequency\u2010domain data as compared to those based on steady\u2010state data.<\/jats:p>","DOI":"10.1137\/040619193","type":"journal-article","created":{"date-parts":[[2006,9,21]],"date-time":"2006-09-21T18:09:08Z","timestamp":1158862148000},"page":"1463-1489","source":"Crossref","is-referenced-by-count":113,"title":["Frequency Domain Optical Tomography Based on the Equation of Radiative Transfer"],"prefix":"10.1137","volume":"28","author":[{"given":"Kui","family":"Ren","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guillaume","family":"Bal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andreas H.","family":"Hielscher","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"351","published-online":{"date-parts":[[2006,9,15]]},"reference":[{"key":"R1","doi-asserted-by":"publisher","DOI":"10.1016\/S0149-1970(01)00023-3"},{"key":"R2","doi-asserted-by":"crossref","unstructured":"V. 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