Optimisation of an image plate system with respect to tube voltage An observer performance study based on chest and pelvis images
نویسنده
چکیده
In this study we evaluate the clinical image quality of a computed radiography system for different tube voltages. Images of anthropomorphic phantoms were produced and the quality of the images was evaluated using visual grading analysis (VGA) by a group of experienced radiologists. Two different X-ray examinations were investigated: chest PA and pelvis AP. The exposure conditions were set so that the effective dose for each technique was approximately the same in all exposures regardless of the tube voltage. The aim of the study was to investigate if any kV setting was assessed as preferable. Our results show that the image quality is improved when lowering the kV settings in both pelvis and chest radiography with the Fuji computed radiography system used. The improvement is marginal in chest radiography but more pronounced for pelvis investigations. The study also illustrates the differences in effective dose obtained using different methods for calculation.
منابع مشابه
Multi-frame Super Resolution for Improving Vehicle Licence Plate Recognition
License plate recognition (LPR) by digital image processing, which is widely used in traffic monitor and control, is one of the most important goals in Intelligent Transportation System (ITS). In real ITS, the resolution of input images are not very high since technology challenges and cost of high resolution cameras. However, when the license plate image is taken at low resolution, the license...
متن کاملVoltage Control and Load Sharing in a DC Islanded Microgrid Based on Disturbance Observer
Increasing DC loads along with DC nature of distributed energy resources (DERs) raises interest to DC microgrids. Conventional droop/non-droop power-sharing in microgrids suffers from load dependent voltage deviation, slow transient response, and requires the parameters of the loads, system and DERs connection status. In this paper, a new nonlinear decentralized back-stepping control strategy f...
متن کاملAn Automated MR Image Segmentation System Using Multi-layer Perceptron Neural Network
Background: Brain tissue segmentation for delineation of 3D anatomical structures from magnetic resonance (MR) images can be used for neuro-degenerative disorders, characterizing morphological differences between subjects based on volumetric analysis of gray matter (GM), white matter (WM) and cerebrospinal fluid (CSF), but only if the obtained segmentation results are correct. Due to image arti...
متن کاملComparative performance assessment of flat plate and evacuated tube collectors for domestic water heating systems in Kerman, Iran
This study represents a year-round energy performance of two solar water heating (SWH) systems with a 4m2 flat plate collector (FPC) and an evacuated tube collector (ETC) operating under the same weather conditions. The energy performance of the two considered systems was compared on a monthly and yearly basis. The obtained results showed that for an annual total solar insolation of ...
متن کاملOptimization of Parameters in 16-slice CT-scan Protocols for Reduction of the Absorbed Dose
Introduction In computed tomography (CT) technology, an optimal radiation dose can be achieved via changing radiation parameters such as mA, pitch factor, rotation time and tube voltage (kVp) for diagnostic images. Materials and Methods In this study, the brain, abdomen, and thorax scaning was performed using Toshiba 16-slice scannerand standard AAPM and CTDI phantoms. AAPM phantom was used for...
متن کامل