| Summary: | The metal artifact where are produced on CT image can covered some area
near metal artifact so it obstructed to define pixel value (CT number), which in
turn it is dificult to define between normal and pathological tissues on a-CT image
so metal artifact are need to reduce for help a diagnose. This research�s aim was
performed to reduce metal artifact on a-CT image.
The method of this research is used spatial filtering with convolution
technique where it applied to a-CT image with metal artifact and use image
processing tool. A phantom with and without metal was scanned for to get an
image data, and so CT image from patient where it have a metal artifact. The
image data are filtering by seven filter where are different one another. Mean
square error (MSE) was calculated to assessment performance of filters and a
subjective assessment by the practitioners of CT-scan.
Metal artifacts are generally formed from 2-3 pixels and have the shortest
distance between metal artifacts beam of 2-3 pixels so that the filters used have a
filter window size is 5 pixels. The results of filtered image in general has
decreased in quality, and the results of assessment of respondents, the filter that
has been chosen by the respondent is filter 2 is as much as 29.03% and 0,010703
of MSE value. Therefore we can conclude that the filter 2 is the best filter of the
seven filters are used to reduce metal artifacts and still maintain the image quality
of CT-scan on visualize organ that can still be used for diagnosis.
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