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000130293 0247_ $$2ISSN$$a1724-191X
000130293 037__ $$aDKFZ-2017-05372
000130293 041__ $$aeng
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000130293 1001_ $$aPahn, Gregor$$b0
000130293 245__ $$aToward standardized quantitative image quality (IQ) assessment in computed tomography (CT): A comprehensive framework for automated and comparative IQ analysis based on ICRU Report 87.
000130293 260__ $$aAmsterdam$$bElsevier$$c2016
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000130293 520__ $$aBased on the guidelines from 'Report 87: Radiation Dose and Image-quality Assessment in Computed Tomography' of the International Commission on Radiation Units and Measurements (ICRU), a software framework for automated quantitative image quality analysis was developed and its usability for a variety of scientific questions demonstrated.The extendable framework currently implements the calculation of the recommended Fourier image quality (IQ) metrics modulation transfer function (MTF) and noise-power spectrum (NPS), and additional IQ quantities such as noise magnitude, CT number accuracy, uniformity across the field-of-view, contrast-to-noise ratio (CNR) and signal-to-noise ratio (SNR) of simulated lesions for a commercially available cone-beam phantom. Sample image data were acquired with different scan and reconstruction settings on CT systems from different manufacturers.Spatial resolution is analyzed in terms of edge-spread function, line-spread-function, and MTF. 3D NPS is calculated according to ICRU Report 87, and condensed to 2D and radially averaged 1D representations. Noise magnitude, CT numbers, and uniformity of these quantities are assessed on large samples of ROIs. Low-contrast resolution (CNR, SNR) is quantitatively evaluated as a function of lesion contrast and diameter. Simultaneous automated processing of several image datasets allows for straightforward comparative assessment.The presented framework enables systematic, reproducible, automated and time-efficient quantitative IQ analysis. Consistent application of the ICRU guidelines facilitates standardization of quantitative assessment not only for routine quality assurance, but for a number of research questions, e.g. the comparison of different scanner models or acquisition protocols, and the evaluation of new technology or reconstruction methods.
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000130293 7001_ $$aSkornitzke, Stephan$$b1
000130293 7001_ $$0P:(DE-HGF)0$$aSchlemmer, Hans-Peter$$b2
000130293 7001_ $$0P:(DE-He78)cdb6ba5e925fa050ebfa816181cf5769$$aKauczor, Hans-Ulrich$$b3$$udkfz
000130293 7001_ $$0P:(DE-He78)6f0d42bdeca968b9fab9a33e6a3c83c7$$aStiller, Wolfram$$b4$$eLast author$$udkfz
000130293 773__ $$0PERI:(DE-600)2110535-2$$a10.1016/j.ejmp.2015.09.017$$gVol. 32, no. 1, p. 104 - 115$$n1$$p104 - 115$$tPhysica medica$$v32$$x1120-1797$$y2016
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