TY - JOUR
T1 - Automated MTF measurement in CT images with a simple wire phantom
AU - Anam, Choirul
AU - Fujibuchi, Toshioh
AU - Haryanto, Freddy
AU - Budi, Wahyu Setia
AU - Sutanto, Heri
AU - Adi, Kusworo
AU - Muhlisin, Zaenul
AU - Dougherty, Geoff
N1 - Publisher Copyright:
© 2019 Choirul Anam et al., published by Sciendo 2019.
PY - 2019/9/1
Y1 - 2019/9/1
N2 - This study developed a simple wire phantom and an algorithm to automatically measure the modulation transfer function (MTF) in computed tomography (CT) and implemented it to evaluate the effect of focal spot size and reconstruction filter type. The phantom consisted of a resin cylinder filled with water, with a tin wire of diameter 0.1 mm positioned along the center of the cylinder. The automated MTF algorithm used an axial image of the phantom and comprised several steps. The center position of a region of interest (ROI) was automatically determined at the center of the wire image. The pixels were then summed along the y-direction to obtain the profile of the pixel values at a point along the x-direction. Following this, both edges of the profile were made equal to zero. The profile curve was then normalized so that the total of all the data was equal to unity. The normalized profile curve is the line spread function (LSF), and the MTF curve was obtained by taking its Fourier transform. Our system (phantom and algorithm) is able to differentiate the MTFs of CT images from different focal sizes and reconstruction filter types.
AB - This study developed a simple wire phantom and an algorithm to automatically measure the modulation transfer function (MTF) in computed tomography (CT) and implemented it to evaluate the effect of focal spot size and reconstruction filter type. The phantom consisted of a resin cylinder filled with water, with a tin wire of diameter 0.1 mm positioned along the center of the cylinder. The automated MTF algorithm used an axial image of the phantom and comprised several steps. The center position of a region of interest (ROI) was automatically determined at the center of the wire image. The pixels were then summed along the y-direction to obtain the profile of the pixel values at a point along the x-direction. Following this, both edges of the profile were made equal to zero. The profile curve was then normalized so that the total of all the data was equal to unity. The normalized profile curve is the line spread function (LSF), and the MTF curve was obtained by taking its Fourier transform. Our system (phantom and algorithm) is able to differentiate the MTFs of CT images from different focal sizes and reconstruction filter types.
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U2 - 10.2478/pjmpe-2019-0024
DO - 10.2478/pjmpe-2019-0024
M3 - Article
AN - SCOPUS:85072090859
SN - 1425-4689
VL - 25
SP - 179
EP - 187
JO - Polish Journal of Medical Physics and Engineering
JF - Polish Journal of Medical Physics and Engineering
IS - 3
ER -