Currently daily quality control (QC) tests for mammography systems are generally evaluated by using visual analysis phantoms, which of course means subjective measurement. In our study, however, we evaluated a novel digital phantom, the 1Shot Phantom M plus (1Shot Phantom), together with automatic analysis software dedicated for mammography systems using Fuji computed radiography (FCR). The dig...

The measurement of modulation transfer functions (MTFs) in computed tomography (CT) is often performed by scanning a point source phantom such as a thin wire or a microbead. In these methods the region of interest (ROI) is generally placed on the scanned image to crop the point source response. The aim of the present study was to examine the effect of ROI size on MTF measurement, and to optimiz...

purpose: to assess the optical effect of the technis-z9000 iol decentration by lio-brennan mathematic-optical eye model. methods: the phantom with real eye parameters (lio-brennas) was used for iol technis-z9000 modeling with zemax code. modulation transfer function (mtf) and mtf contrast that represent the ratio of the image data to total object data in optical system were used for analysis. r...

Beam hardening filters have long been employed in X-ray Computed Tomography (CT) to preferentially absorb soft and low-energy X-rays having no or little contribution to image formation, thus allowing the reduction of patient dose and beam hardening artefacts. In this work, we studied the influence of additional copper (Cu) and aluminium (Al) flat filters on patient dose and image quality and se...

<span lang="EN-US">The purpose of this study was to evaluate the effect rectangular region interest (ROI) size on modulation transfer function (MTF), develop radial ROI, and compare both ROIs performances for MTF measurement using a cylindrical polymethyl methacrylate (PMMA) phantom. The PMMA phantom used in rotated 45°. Four ROI were created measure value. sizes 3×41, 21×41, 41×41, 61×41...

The current scanning parameters for computed tomography (CT) such as multi-detector row CT are becoming more complicated, and there are many cases in which the selected parameters directly affect image quality. Therefore, to evaluate the effectiveness and validity of the selected parameter, quantitative image quality evaluations are indispensable. Among the items of evaluation, modulation trans...

In this study, an in-house residual encoder-decoder convolutional neural network (RED-CNN)-based algorithm was composed and trained using images of cylindrical polymethyl-methacrylate (PMMA) phantom with a diameter 26 cm at different simulated noise levels. The model tested on 21 × elliptical PMMA computed tomography (CT) to evaluate its denoising capability signal ratio (SNR), comparative peak...

Quality control (QC) of CT scanners is important to evaluate image quality and radiation dose. Different QC phantoms for testing image quality parameters on CT are commercially available, and Catphan phantoms are widely used for this purpose. More data from measured image quality parameters on CT are necessary to assess test methods, tolerance levels, and test frequencies. The aim of this study...

Abstract Introduction Deep learning image reconstruction (DLIR) is a very recent method that already available for commercial use. We evaluated the quality of DLIR images and compared it to from latest adaptive statistical iterative (ASIR-V) algorithm in terms noise-power spectrum (NPS) modulation-transfer function (MTF). Methods scanned Revolution QA phantom (GE Healthcare, USA) 20 cm water wi...