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- W2014941161 abstract "We study a class of binary matrices with excellent noise properties for controlling multiplexing patterns in a multiple-source,single-detector X-ray system. For such a system, turning multiple sources on at a time in a prescribed pattern(multiplexing), can offer noise advantages under certain conditions. The patterns used can be represented by binarymatrices which determine the noise properties of the decoded images. Hadamard S-matrices have long been used inspectroscopy, but they are optimal only in systems with little photonic noise. In X-ray systems with energy-integratingdetectors, the noise structure may be a mix of constant (electronic) noise and noise proportional to the signal (photonicnoise). Under mixed noise conditions, we demonstrate that a certain class of balanced incomplete block design (BIBD)matrices offers better noise performance over a wider range of noise mixes than the Hadamard matrices. SymmetricBIBD matrices are characterized by three parameters: v = the number of sources in the multiplexing array; k = thenumber of sources on at a time; and λ = the number of multiplexed frames shared by any pair of sources. We comparenoise performance in decoded images for several families of BIBD matrices and show that the BIBD matrices with λ = 1offer the best performance. We also offer insight into how the available matrices affect parameters of system design in amultiplexing X-ray system. We conclude that the BIBD(v,k,λ = 1) matrices or matrices derived from them are the bestchoices for multiplexing in multi-source X-ray systems." @default.
- W2014941161 created "2016-06-24" @default.
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- W2014941161 date "2009-02-26" @default.
- W2014941161 modified "2023-09-23" @default.
- W2014941161 title "Optimal binary coding matrices for multiplexed x-ray imaging" @default.
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- W2014941161 doi "https://doi.org/10.1117/12.811124" @default.
- W2014941161 hasPublicationYear "2009" @default.
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