Applications of Preprocessing Correction of Nuclear Medicine Images using Local Adaptive Filters

Abstract

Advanced technologies in image processing and analysis are used extensively in nuclear medicine, working to improve nuclear medicine image, image data are used gather details from location of the diseases or physiological processes . This study aims to enhancement of bone scintigraphy image by using image processing technique and have been using MatLab program is used to enhance the quality of the image , The random sampling consist of 5 patient who underwent bone scintigraphy scan ,the study was conducted and taking information from Niles center for nuclear medicine, data were collected in the period between November2014 to March 2015. MATLAB program technique such as Contrast-limited adaptive histogram equalization (CLAHE), histogram equalization, Adjust image intensity values or colormap , 2-D median filtering and contrast stretch image , are used on this study to analyzed and Enhanced data (bone scan image ) .This study showing significant difference between the original image and the image that processed using MATLAB techniques , in terms of Contrast especially in homogeneous areas and had been avoided the amplifying of any noise that might be present in the image by(CLAHE) ,extracting of the foreground from the background by using histogram as guide for threshold Value and enhance the Contrast of image (bone scan) by using histogram code and contrast stretch image, the Adjust image code used to enhance the image by increasing of contrast , the reduce of the" salt and pepper " noise by using 2-D median filtering , median filter was more effective than convolution when the goal is simultaneously reduce noise and preserve edges .