Comprehensive data set to include interference effects in Monte Carlo models of x-ray coherent scattering inside biological tissues.

Physics in Medicine and Biology
G PaternòAngelo Taibi

Abstract

Interference effects are included in the x-ray coherent scattering models used in Monte Carlo codes by modifying each material form factor through a proper interference function, which is obtained directly from the measured scattering pattern. This approach is effective for non-biological materials, but it is impractical for biological tissues, due the wide composition variability they can feature. Instead, a given biological sample can be considered as a proper mixture of four basis materials: fat, water, collagen and calcium hydroxyapatite. The sample form factor can then be obtained through a weighted mean of the form factors of the basis materials, which include interference effects. Here, we fully demonstrate the validity of the proposed segmentation method by applying it to 31 biological tissue samples whose form factors are available in the literature. The segmentation, namely the determination of the optimal weight of the basis components, was carried out through a multiple linear regression or, in some cases, by using a controlled trial and error sequence. The form factors of the basis materials were extracted from previous works and elaborated to include more scattering features. In particular, they were interpolated ...Continue Reading

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Feb 19, 2021·Physics in Medicine and Biology·Stefan StrykerJoel A Greenberg
Aug 10, 2021·Biomedical Physics & Engineering Express·Thomas G PrimidisCarsten P Welsch

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Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)
Gianfranco PaternòAngelo Taibi
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)
Gianfranco PaternòAngelo Taibi
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