Characterization of biological tissues using X-ray attenuation data

G. Baldazzi; P. L. Rossi; S. Masetti; A. Turco; M. Fiaschetti; N. Lanconelli; D. Bianchini; L. Roma; G. Nicoletti; P. L. Lollini

doi:10.1109/NSSMIC.2008.4774316

Characterization of biological tissues using X-ray attenuation data

G. Baldazzi, P. L. Rossi, S. Masetti, A. Turco, M. Fiaschetti, N. Lanconelli, D. Bianchini, L. Roma, G. Nicoletti, P. L. Lollini

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The possibility to visualize pathological tissues for example tumor neo-angiogenesis pattern-, using new X-ray imaging technique (such as Multi-Energy subtraction X-ray Imaging) is strictly related to an accurate knowledge of the X-ray absorption coefficients. Unfortunately, |i(E) values are partially derived from Monte Carlo simulation and known only for a little number of pathologies. A study of the attenuation properties of tissues was started at the University of Bologna in order to experimentally investigate their proprieties. Tissues X-ray attenuation curves are measured in a facility based on a Bragg monochromator with a lithium-fluoride crystal, to have beams with X-ray energies from 10 keV to 60 keV and energy resolution less than 2.0 keV. Different methods of analysis are implemented, starting from algorithms that can extract chemical-physical information from X-ray absorption measurements, such as effective atomic number and electron density.

Original language	English
Title of host publication	IEEE Nuclear Science Symposium Conference Record
Pages	4798-4802
Number of pages	5
DOIs	https://doi.org/10.1109/NSSMIC.2008.4774316
Publication status	Published - 2008
Event	2008 IEEE Nuclear Science Symposium Conference Record, NSS/MIC 2008 - Dresden, Germany Duration: Oct 19 2008 → Oct 25 2008

Other

Other	2008 IEEE Nuclear Science Symposium Conference Record, NSS/MIC 2008
Country/Territory	Germany
City	Dresden
Period	10/19/08 → 10/25/08

ASJC Scopus subject areas

Radiation
Nuclear and High Energy Physics
Radiology Nuclear Medicine and imaging

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10.1109/NSSMIC.2008.4774316

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Baldazzi, G, Rossi, PL, Masetti, S, Turco, A, Fiaschetti, M, Lanconelli, N, Bianchini, D, Roma, L, Nicoletti, G & Lollini, PL 2008, Characterization of biological tissues using X-ray attenuation data. in IEEE Nuclear Science Symposium Conference Record., 4774316, pp. 4798-4802, 2008 IEEE Nuclear Science Symposium Conference Record, NSS/MIC 2008, Dresden, Germany, 10/19/08. https://doi.org/10.1109/NSSMIC.2008.4774316

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title = "Characterization of biological tissues using X-ray attenuation data",

abstract = "The possibility to visualize pathological tissues for example tumor neo-angiogenesis pattern-, using new X-ray imaging technique (such as Multi-Energy subtraction X-ray Imaging) is strictly related to an accurate knowledge of the X-ray absorption coefficients. Unfortunately, |i(E) values are partially derived from Monte Carlo simulation and known only for a little number of pathologies. A study of the attenuation properties of tissues was started at the University of Bologna in order to experimentally investigate their proprieties. Tissues X-ray attenuation curves are measured in a facility based on a Bragg monochromator with a lithium-fluoride crystal, to have beams with X-ray energies from 10 keV to 60 keV and energy resolution less than 2.0 keV. Different methods of analysis are implemented, starting from algorithms that can extract chemical-physical information from X-ray absorption measurements, such as effective atomic number and electron density.",

author = "G. Baldazzi and Rossi, {P. L.} and S. Masetti and A. Turco and M. Fiaschetti and N. Lanconelli and D. Bianchini and L. Roma and G. Nicoletti and Lollini, {P. L.}",

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doi = "10.1109/NSSMIC.2008.4774316",

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AU - Baldazzi, G.

AU - Rossi, P. L.

AU - Masetti, S.

AU - Turco, A.

AU - Fiaschetti, M.

AU - Lanconelli, N.

AU - Bianchini, D.

AU - Roma, L.

AU - Nicoletti, G.

AU - Lollini, P. L.

PY - 2008

Y1 - 2008

N2 - The possibility to visualize pathological tissues for example tumor neo-angiogenesis pattern-, using new X-ray imaging technique (such as Multi-Energy subtraction X-ray Imaging) is strictly related to an accurate knowledge of the X-ray absorption coefficients. Unfortunately, |i(E) values are partially derived from Monte Carlo simulation and known only for a little number of pathologies. A study of the attenuation properties of tissues was started at the University of Bologna in order to experimentally investigate their proprieties. Tissues X-ray attenuation curves are measured in a facility based on a Bragg monochromator with a lithium-fluoride crystal, to have beams with X-ray energies from 10 keV to 60 keV and energy resolution less than 2.0 keV. Different methods of analysis are implemented, starting from algorithms that can extract chemical-physical information from X-ray absorption measurements, such as effective atomic number and electron density.

AB - The possibility to visualize pathological tissues for example tumor neo-angiogenesis pattern-, using new X-ray imaging technique (such as Multi-Energy subtraction X-ray Imaging) is strictly related to an accurate knowledge of the X-ray absorption coefficients. Unfortunately, |i(E) values are partially derived from Monte Carlo simulation and known only for a little number of pathologies. A study of the attenuation properties of tissues was started at the University of Bologna in order to experimentally investigate their proprieties. Tissues X-ray attenuation curves are measured in a facility based on a Bragg monochromator with a lithium-fluoride crystal, to have beams with X-ray energies from 10 keV to 60 keV and energy resolution less than 2.0 keV. Different methods of analysis are implemented, starting from algorithms that can extract chemical-physical information from X-ray absorption measurements, such as effective atomic number and electron density.

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BT - IEEE Nuclear Science Symposium Conference Record

T2 - 2008 IEEE Nuclear Science Symposium Conference Record, NSS/MIC 2008

Y2 - 19 October 2008 through 25 October 2008

ER -

Characterization of biological tissues using X-ray attenuation data

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