| خلاصه مقاله | Background: Today, various modalities are used in diagnostic imaging, the most important of which is computer tomography (CT) scan. CT scan exams have increased in the recent years depending on the various factors, including the corona virus. According to recent studies, to evaluate the brain in terms of injuries, lesions, intracranial bleeding, and tumors, head and neck CT scan, is the preferred selective diagnostic imaging method.
Objective: The use of different CT scan devices can affect the quality of the images taken from the head and neck region according to the device conditions such as detectors type, imaging protocol, software and image reconstruction algorithm. Each of the image areas directly or indirectly affects the final image that is sent to the physician for diagnosis. The aim in this study is to compare the images of two different CT scanners in terms of the image quality of head and neck CT scans under the same radiation conditions for each area.
Methods: In this study, Cannon and General Electric (GE) CT scanners and PMMA phantoms were used to record phantom images which was placed in the isocenter of the device and was irradiated in the same imaging protocol (120 kV, 150 mAs). Iterative Reconstruction (IR) algorithm and Adaptive statistical iterative reconstruction (ASIR) algorithm were used for Cannon CT scan and GE CT scan, respectively. Four slices were selected in the same way and set with the same window width and window level from the CT-gram images. Software of ImageJ, checking ROIs in similar places used for image analysis. Also, image noise values were compared in two devices.
Result: Ten Region of interests (ROI) were taken from each CT grams of the head and neck CT scan (two at 12 o'clock, two at 3 o'clock, two at 6 o'clock, two at 9 o'clock and two at the center with an area of 25 mm2) and the study was done on the determined CT-grams. The average CT numbers in Cannon and GE devices were 180 and 175 Hounsfield, respectively. The average noise values were equal to 8 and 2.5 respectively.
Conclusion: The comparison of the data related to the images has shown that there is a significant difference between the image quality recorded from the two devices in terms of image noise, as well as the images obtained from GE had lesser noise values. |