## 3 Results and Discussion
Because 0.8 mm is a very small value to distinguish in ultrasound images, improving spatial resolution is important. In addition, atheromatous plaques in the carotid arteries were assessed by ultrasound using B-mode, including echogenicity, echo texture, surface characteristics, and volume. Generally, vulnerable atheromatous plaques show a hypoechoic pattern on ultrasound images and have an uneven echo intensity. In the case of atheromatous plaques of the carotid artery, the location of calcified nodules and lipid cores have additional significance in assessing vulnerability. Therefore, improving the spatial resolution of images is important because the texture of an ultrasound image determines the characteristics of the atheromatous plaques. Figure 8: Results of applying various spatial resolution enhancement algorithms to clinical ultrasound images of a thyroid carcinoma (The red box area indicates the magnified area). When using the proposed MSDEPC algorithm, the microcalcification area was clearly distinguishable (yellow arrow area). Figure 9: Results of applying various spatial resolution enhancement algorithms to clinical ultrasound images of obstetric nuchal translucency (The red box area indicates the magnified area). When using the proposed MSDEPC algorithm, the obstetric nuchal translucency area was clearly distinguishable (yellow arrow area). In ultrasound images of a focal lesion of the liver, a difference in whether the margin appears irregular or well defined should be observed [43]. Local lesions of the liver can be classified according to texture, and hemangioma lesions can appear with atypical ultrasound imaging characteristics [44]. Thus, the spatial resolution of liver ultrasound images can affect one's ability to discriminate hemangiomas, and the proposed algorithm is expected to provide significant advantages in this regard. Improving the spatial resolution of breast ultrasound imaging is an effective method for detecting fine calcite formations, and it has been reported that a sensitivity of up to 95% is achievable [45]. In addition, breast ultrasound images with improved spatial resolution can be used better distinguish between solid and cystic lesions and characterize their complexity [46]. These images can be used to confirm the malignant nature of breast tumors and can be of great help when performing ultrasound-guided biopsies. High spatial resolution is also very important in thyroid cancer ultrasound imaging. In ultrasound images of thyroid cancer, features such as fine calcifications, marked hypoechoicity, and irregular edges have been observed [47]. Thus, in thyroid ultrasound images with excellent spatial resolution, the microcalcification texture, a characteristic of malignancy, can be better observed, and the diagnostic value of Doppler detection can be  
Figure 10: Graph showing (**a**) PSNR and (**b**) SSIM values calculated from clinical LR images and images acquired by applying each spatial resolution improvement algorithm. The best PSNR and SSIM values were obtained when using the proposed MSDEPC algorithm. improved. The inner-inner method was used to measure the obstetric much translucency in the ultrasound images. A value of 3.5 mm for much translucency should be considered important and warrant further testing [48]. Therefore, a detailed nuchal translucency measurement is necessary, and improving the spatial resolution of images using the proposed MSDEPC algorithm can contribute to these characteristics. In addition, an improvement in spatial resolution is important for identifying other brain structures that require detailed measurements in ultrasound image views from different directions. We expect that these imaging techniques will contribute to the early detection of the fetus. The proposed method produced sufficient qualitative and quantitative results to improve the sharpness and resolution of the ultrasound images; however, there are still some issues to be discussed. First, it facilitates a more realistic discussion of real-world deterioration.