A methodical assessment of interpolation techniques to metal artifact reduction in Computed Tomography Metal artifact reduction (MAR) methods are continuously used for minimizing artifacts in Computed Tomography (CTCAT scans) and although they are largely used, there is a lack of suggestions to evaluate such methods (especially the interpolationbased ones). In this paper, we propose an approach for assessment of a MAR method based on interpolation techniques. We have used four interpolation techniques, evaluating their performances in two different scenarios: an artificial image simulation for quantitative assessment, and one real image for qualitative assessment. We have adopted the Sinogram Completion method, widely used for metal artifact reduction. The linear interpolation had presented better results in comparison to other interpolation techniques in both scenarios. The MAR method (Sinogram Completion) associated to the linear interpolation technique presents the most efficient results, which justifies the current researchersu0027 interest in this particular technique.

Xray Image Enhancement: A Technique Combination Approach Medical Xray images are an important and valuable source of studies and diagnoses for diseases with low cost besides its high availability. However, radiological images are subject to degradations related to low contrast and presence of noise. Based on this finding, this article presents a simple but efficient enhancement method for these images with the objective of contrast gain and noise removal. The proposed method (MP) consists of a sequence of interactive steps. Start from the step of double precision conversion and end with removing impulsive noises. An evaluation with the PSNR, Entropy, AMBE, and IQR indicators was performed, besides gain check on the thresholding process and the histogram characterization. The evaluation was conducted on three different datasets in a total of 1409 images chest Xrays. The results compared to others known in the literature proved to be promising and put it as an interesting alternative in the process of enhancement medical Xray images.