Mohammed A. Alnafea
Publications by Mohammed A. Alnafea
2 publications found • Active 2023-2023
2023
2 publicationsQuality Control measurements for general X-Ray machine through X-ray meter
The aim of a quality assurance (QA) program is to assist a radio-diagnostic machine to obtaining adequate radiological quality information with a minimum of dose to the subject. An integrated part of a quality assurance program is Quality Control (QC) ascertaining quality by measurements and other procedures. QC in diagnostic radiography begins with production of predictable exposures. In this study the four tests (reproducibility, accuracy of kV, half value layer (HVL) and mAs linearity) were determined by Piranha X ray meter and were carried out fÂor General X-Ray machine at Olaya Medical Complex. The QC tests have been carried out according to the intentional standard reports (AAPM No. 74) and National recommendations of King Abdullah City for Atomic & Renewable Energy. Various safety measures are taken by considering work personnel's safety. Thus, some QC tests were determined using the X-ray meter. For the accomplishment of this study, the tests of tube voltage accuracy and reproducibility, HVL and effective energy, air Kerma and air Kerma rate were performed, with their associated errors calculated. The obtained results were in the acceptable limits. The survey revealed that the QC program was conducted to this X-ray machine at regular intervals. Thus the calibration accuracy results Confirm that, the X-Ray E Machine Result is Pass.
Quality Control in Mammography; An Assessment of System's Performance of 3D Breast Tomosynthesis
Breast tomosynthesis has become a well-established imaging technique for clinical assessment of breast cancer. This Tree-Dimensions (3D) imaging technique is one of a major recently used method for early breast cancer detection particularly for women with a dense breast. It can also aid in the clarifying of a breast cancer diagnosis, whether by initial screening or following up after a suspicious area in the breast has been found. The image of such technique must have an optimal contrast to display mass densities and speculated fibrous structures, in order to diagnose breast cancer accurately at the earliest feasible stage. Furthermore, the spatial resolution must be sufficient to reveal the size and form of micro calcifications. To improve the accuracy of imaging diagnosis system, an effective Quality Control (QC) program can be implemented to optimize the accurate diagnosis of mammographic imaging. The main aim of this study is to evaluate the QC of 3D Tomosynthesis system, including Kilo voltages peak (kVp) accuracy, mAs linearity, Half Value Layer (HVL), Automatic Exposure Control (AEC), radiation output and mean glandular dose (MGD). Image quality assessment also included to check of spatial resolution, Signal to Noise Ratio (SNR) and Contrast to Noise Ratio (CNR). Accreditation phantoms have been used during the study. This study reveals that international standard guidelines which contain basic requirements for QC are obtained.
