Omer Hiba, Tamam Nissren, Alameen Suhaib, Algadi Sahar, Thanh Tai Duong, Sulieman Abdelmoneim
Department of Basic Sciences, Deanship of Preparatory Year and Supporting Studies, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam 34212, Saudi Arabia.
Physics Department, College of Sciences, Princess Nourah bint Abdulrahman University, P.O Box 84428, Riyadh 11671, Saudi Arabia.
Saudi J Biol Sci. 2022 Apr;29(4):2180-2186. doi: 10.1016/j.sjbs.2021.11.043. Epub 2021 Nov 26.
Medical images are usually affected by biological and physical artifacts or noise, which reduces image quality and hence poses difficulties in visual analysis, interpretation and thus requires higher doses and increased radiographs repetition rate.
This study aims at assessing image quality during CT abdomen and brain examinations using filtering techniques as well as estimating the radiogenic risk associated with CT abdomen and brain examinations.
The data were collected from the Radiology Department at Royal Care International (RCI) Hospital, Khartoum, Sudan. The study included 100 abdominal CT images and 100 brain CT images selected from adult patients. Filters applied are namely: Mean filter, Gaussian filter, Median filter and Minimum filter. In this study, image quality after denoising is measured based on the Mean Squared Error (MSE), Peak Signal-to-Noise Ratio (PSNR), and the Structural Similarity Index Metric (SSIM).
The results show that the images quality parameters become higher after applications of filters. Median filter showed improved image quality as interpreted by the measured parameters: PSNR and SSIM, and it is thus considered as a better filter for removing the noise from all other applied filters.
The noise removed by the different filters applied to the CT images resulted in enhancing high quality images thereby effectively revealing the important details of the images without increasing the patients' risks from higher doses.
Filtering and image reconstruction techniques not only reduce the dose and thus the radiation risks, but also enhances high quality imaging which allows better diagnosis.
医学图像通常会受到生物和物理伪影或噪声的影响，这会降低图像质量，从而在视觉分析、解读方面带来困难，因此需要更高的剂量和增加放射照片的重复率。
本研究旨在使用滤波技术评估腹部和脑部CT检查期间的图像质量，并估计与腹部和脑部CT检查相关的辐射风险。
数据收集自苏丹喀土穆皇家护理国际（RCI）医院放射科。该研究包括从成年患者中选取的100张腹部CT图像和100张脑部CT图像。应用的滤波器分别为：均值滤波器、高斯滤波器、中值滤波器和最小值滤波器。在本研究中，基于均方误差（MSE）、峰值信噪比（PSNR）和结构相似性指数度量（SSIM）来测量去噪后的图像质量。
结果表明，应用滤波器后图像质量参数变得更高。从中值滤波器的测量参数PSNR和SSIM可以看出其图像质量有所改善，因此它被认为是比其他所有应用滤波器更好的去噪滤波器。
应用于CT图像的不同滤波器去除噪声后，提高了图像质量，从而有效地揭示了图像的重要细节，而不会因更高剂量增加患者风险。
滤波和图像重建技术不仅降低了剂量，从而降低了辐射风险，还提高了图像质量，有助于更好地进行诊断。
