Generalized adaptive median filters and their application in computed tomography

Publisher Website
Google Scholar
Abstract
A generalized adaptive median filter (GAMF) is introduced for more robust noise suppression and edge preservation in computed tomography. The GAMF employs a set of adaptive linear filters in conjunction with an adaptive median filter. Each linear filter is designed to preserve a feature in one orientation. The window sizes of these filters are adaptive to the local statistics. The output of the GAMF is selected from the linear filter output set that is closest to the adaptive median filter. This filter has been successfully utilized in the computed tomography to combat severe streaking artifacts resulting from excessive x-ray quantum noise. Its effectiveness has been demonstrated in phantom tests and clinical studies. In addition, little impact on system resolution can be observed.

This publication has 0 references indexed in Scilit: