Comparison of Different Image Enhancement Methods for Effective Whole-Body Bone Scan Image
Advances in Bioscience and Bioengineering
Volume 7, Issue 3, September 2019, Pages: 55-59
Received: Jun. 14, 2019; Accepted: Jul. 23, 2019; Published: Aug. 28, 2019
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Author
Sulieman Mohammed Salih Zobly, Department of Physics & Medical Instrumentation, University of Gezira, Medani, Sudan
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Abstract
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.
Keywords
Whole-body Bone Scan, Gamma Camera, Image Enhancement, Nuclear Medicine
To cite this article
Sulieman Mohammed Salih Zobly, Comparison of Different Image Enhancement Methods for Effective Whole-Body Bone Scan Image, Advances in Bioscience and Bioengineering. Vol. 7, No. 3, 2019, pp. 55-59. doi: 10.11648/j.abb.20190703.16
Copyright
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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