Comparison of Different Image Enhancement Methods for Effective Whole-Body Bone Scan Image
Sulieman M. S. Zobly · Advances in Bioscience and Bioengineering · 2019
Nuclear medicine is one of the most important diagnostic tools used for different types of investigations such as a thyroid scan, renal function and whole-body bone scan. The main problem in nuclear medicine imaging system is the resulting images degraded with large amounts of noise. In this work we want use four different enhancement methods to enhance whole-body bone scan image so as to reduce the noise from the image and improve the resolution to achieve a better image quality and maintain quality for accurate diagnosis. Histogram equalization, adaptive histogram equalization, log transformation and gamma correction algorithms were used to improve the image quality. Four pair of bone scan images from gamma camera were used to perform this work. Enhanced images were quantified and evaluated by calculating the Peak Signal Noise Ratio, Mean Square Error and entropy. The result shows that the gamma correction algorithm gives best result among the four algorithms used for enhancing the bone images. The gamma correction algorithm can assist the radiologist in diagnosis the patient and quantify any changes accurately and quickly.