Artifact removal in radiological ultrasound images using selective and adaptive median filter
Anan Nugroho, Risanuri Hidayat, Hanung Adi Nugroho · 2019
Among the existing modalities, ultrasound (US) imaging is mostly utilized to screening abnormalities such as effective used in radiology. Computer-aided diagnosis (CAD) has become a second opinion US reader to improve radiologist's diagnoses by applying appropriate techniques of image processing. The existences of manually induced artifacts, such as caliper marking, rendering and anatomical labeling are negatively affected the results of segmentation in CAD. Moreover improper suppression methods will increase the emergency of undesired artifacts which degrading the quality and clinical applicability of US images. This paper presents the utility of selective and adaptive median filter for manually induced artifacts removal with preserving image features. The experimental results indicate that the proposed method is appropriate to remove artifacts in radiological US images, both in vision and quantitative measurements.