A comprehensive model for x-ray projection imaging system efficiency and image quality characterization in the presence of scattered radiation

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A comprehensive model for x-ray projection imaging system efficiency and image quality characterization in the presence of scattered radiation. / Monnin, Pascal; Verdun, Francis; Rodriguez Perez, Sunay; Hilde, Bosmans; W. Marshall, Nicholas.

In: Physics in Medicine and Biology, Vol. 62, 23.06.2018, p. 5691-5722.

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Monnin, Pascal ; Verdun, Francis ; Rodriguez Perez, Sunay ; Hilde, Bosmans ; W. Marshall, Nicholas. / A comprehensive model for x-ray projection imaging system efficiency and image quality characterization in the presence of scattered radiation. In: Physics in Medicine and Biology. 2018 ; Vol. 62. pp. 5691-5722.

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@article{4687fc5113ea4aeb802f6d711042da2a,
title = "A comprehensive model for x-ray projection imaging system efficiency and image quality characterization in the presence of scattered radiation",
abstract = "This work proposes a method for assessing the detective quantum efficiency (DQE) of radiographic imaging systems that include both the x-ray detector and the antiscatter device. Cascaded linear analysis of the antiscatter device efficiency (DQEASD) with the x-ray detector DQE is used to develop a metric of system efficiency (DQEsys); the new metric is then related to the existing system efficiency parameters of effective DQE (eDQE) and generalized DQE (gDQE). The effect of scatter on signal transfer was modelled through its point spread function (PSF), leading to an x-ray beam transfer function (BTF) that multiplies with the classical presampling modulation transfer function (MTF) to give the system MTF. Expressions are then derived for the influence of scattered radiation on signal-difference to noise ratio (SDNR) and contrast-detail (c-d) detectability. The DQEsys metric was tested using two digital mammography systems, for eight x-ray beams (four with and four without scatter), matched in terms of effective energy. The model was validated through measurements of contrast, SDNR and MTF for poly(methyl)methacrylate thicknesses covering the range of scatter fractions expected in mammography. The metric also successfully predicted changes in c-d detectability for different scatter conditions. Scatter fractions for the four beams with scatter were established with the beam stop method using an extrapolation function derived from the scatter PSF, and validated through Monte Carlo (MC) simulations. Low-frequency drop of the MTF from scatter was compared to both theory and MC calculations. DQEsys successfully quantified the influence of the grid on SDNR and accurately gave the break-even object thickness at which system efficiency was improved by the grid. The DQEsys metric is proposed as an extension of current detector characterization methods to include a performance evaluation in the presence of scattered radiation, with an antiscatter device in place.",
keywords = "Mammography, image quality, scatter fraction, MTF, detective quantum efficiency (DQE), cascaded system analysis, system DQE",
author = "Pascal Monnin and Francis Verdun and {Rodriguez Perez}, Sunay and Bosmans Hilde and {W. Marshall}, Nicholas",
note = "Score=10",
year = "2018",
month = "6",
day = "23",
doi = "10.1088/1361-6560/aa75bc",
language = "English",
volume = "62",
pages = "5691--5722",
journal = "Physics in Medicine and Biology",
issn = "0031-9155",
publisher = "IOP - IOP Publishing",

}

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TY - JOUR

T1 - A comprehensive model for x-ray projection imaging system efficiency and image quality characterization in the presence of scattered radiation

AU - Monnin, Pascal

AU - Verdun, Francis

AU - Rodriguez Perez, Sunay

AU - Hilde, Bosmans

AU - W. Marshall, Nicholas

N1 - Score=10

PY - 2018/6/23

Y1 - 2018/6/23

N2 - This work proposes a method for assessing the detective quantum efficiency (DQE) of radiographic imaging systems that include both the x-ray detector and the antiscatter device. Cascaded linear analysis of the antiscatter device efficiency (DQEASD) with the x-ray detector DQE is used to develop a metric of system efficiency (DQEsys); the new metric is then related to the existing system efficiency parameters of effective DQE (eDQE) and generalized DQE (gDQE). The effect of scatter on signal transfer was modelled through its point spread function (PSF), leading to an x-ray beam transfer function (BTF) that multiplies with the classical presampling modulation transfer function (MTF) to give the system MTF. Expressions are then derived for the influence of scattered radiation on signal-difference to noise ratio (SDNR) and contrast-detail (c-d) detectability. The DQEsys metric was tested using two digital mammography systems, for eight x-ray beams (four with and four without scatter), matched in terms of effective energy. The model was validated through measurements of contrast, SDNR and MTF for poly(methyl)methacrylate thicknesses covering the range of scatter fractions expected in mammography. The metric also successfully predicted changes in c-d detectability for different scatter conditions. Scatter fractions for the four beams with scatter were established with the beam stop method using an extrapolation function derived from the scatter PSF, and validated through Monte Carlo (MC) simulations. Low-frequency drop of the MTF from scatter was compared to both theory and MC calculations. DQEsys successfully quantified the influence of the grid on SDNR and accurately gave the break-even object thickness at which system efficiency was improved by the grid. The DQEsys metric is proposed as an extension of current detector characterization methods to include a performance evaluation in the presence of scattered radiation, with an antiscatter device in place.

AB - This work proposes a method for assessing the detective quantum efficiency (DQE) of radiographic imaging systems that include both the x-ray detector and the antiscatter device. Cascaded linear analysis of the antiscatter device efficiency (DQEASD) with the x-ray detector DQE is used to develop a metric of system efficiency (DQEsys); the new metric is then related to the existing system efficiency parameters of effective DQE (eDQE) and generalized DQE (gDQE). The effect of scatter on signal transfer was modelled through its point spread function (PSF), leading to an x-ray beam transfer function (BTF) that multiplies with the classical presampling modulation transfer function (MTF) to give the system MTF. Expressions are then derived for the influence of scattered radiation on signal-difference to noise ratio (SDNR) and contrast-detail (c-d) detectability. The DQEsys metric was tested using two digital mammography systems, for eight x-ray beams (four with and four without scatter), matched in terms of effective energy. The model was validated through measurements of contrast, SDNR and MTF for poly(methyl)methacrylate thicknesses covering the range of scatter fractions expected in mammography. The metric also successfully predicted changes in c-d detectability for different scatter conditions. Scatter fractions for the four beams with scatter were established with the beam stop method using an extrapolation function derived from the scatter PSF, and validated through Monte Carlo (MC) simulations. Low-frequency drop of the MTF from scatter was compared to both theory and MC calculations. DQEsys successfully quantified the influence of the grid on SDNR and accurately gave the break-even object thickness at which system efficiency was improved by the grid. The DQEsys metric is proposed as an extension of current detector characterization methods to include a performance evaluation in the presence of scattered radiation, with an antiscatter device in place.

KW - Mammography

KW - image quality

KW - scatter fraction

KW - MTF

KW - detective quantum efficiency (DQE)

KW - cascaded system analysis

KW - system DQE

UR - http://ecm.sckcen.be/OTCS/llisapi.dll/open/31046404

U2 - 10.1088/1361-6560/aa75bc

DO - 10.1088/1361-6560/aa75bc

M3 - Article

VL - 62

SP - 5691

EP - 5722

JO - Physics in Medicine and Biology

JF - Physics in Medicine and Biology

SN - 0031-9155

ER -

ID: 4535861