Comparison of Different Image Enhancement Methods for Effective Whole-Body Bone Scan Image

Sulieman Mohammed Salih Zobly

doi:doi:10.11648/j.abb.20190703.16

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Comparison of Different Image Enhancement Methods for Effective Whole-Body Bone Scan Image

Sulieman Mohammed Salih Zobly

Published in Advances in Bioscience and Bioengineering (Volume 7, Issue 3)

Received: 14 June 2019 Accepted: 23 July 2019 Published: 28 August 2019

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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.

Published in	Advances in Bioscience and Bioengineering (Volume 7, Issue 3)
DOI	10.11648/j.abb.20190703.16
Page(s)	55-59
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

Whole-body Bone Scan, Gamma Camera, Image Enhancement, Nuclear Medicine

References

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[4]	R. Gonzalez, R. Woods, Digital Image Processing, second Edition, Prentice Hall, Inc, 2002.
[5]	R. Gonzalez, R. Woods, Steven L. Eddins, Digital Image Processing using MATLAB, 2end Edition, Gatesmark Publishing, 2009.
[6]	D. Chang, W. Wu, Image contrast enhancement based on a histogram transformation of local standard deviation, IEEE transaction on medical imaging, vol. 17 (4), 1998, pp. 518-531.
[7]	R. Senthilkumar, M. Senthilmurugan, TRIAD histogram to enhance chest X-ray image, international journal of advanced research in computer and communication engineering, vol. 3 (11), 2014, pp. 8577-8580.
[8]	J. A. Stark, W. J. Fitzgerald, An Alternative Algorithm for Adaptive Histogram Equalization, Graphical Models and Image Processing, vol. 58 (2), 1996.
[9]	Urvashi Manikpuri, Yojana Yadav, Image Enhancement through Logarithmic Transformation, international journal of innovation research in advanced engineering, 2014, 357-362.
[10]	S. Suman, et al. Image enhancement using geometric mean filter and gamma correction for WCE images, ICONIP, 2014, pp. 276-283.
[11]	K. Somasundaram, P. Kalavath Medical Image Contrast Enhancement based on Gamma Correction 2014.
[12]	M. Ouvrier, S. Vignot, J. Thariat. [State of the art in nuclear imaging for the diagnosis of bone metastases]. Bull Cancer. 2013 Nov. 100 (11): 1115-1124. [Medline].
[13]	D. Sonker, Comparison of Histogram Equalization Techniques for Image Enhancement of Grayscale images in Natural and Unnatural Light, international journal of engineering research and development, Vol. 8 (9), 2013, pp. 57-61.
[14]	S. Zobly et al, Selecting Suitable Gamma Value for Bone Scan Image Enhancement using Gamma Correction Method, Red Sea University Journal of Basic & Applied science, vol. 2 (1), 2017, pp. 485-490.
[15]	A. Aslantas et al, A computer-aided Diagnosis System for Whole Body Bone Scintigraphy Scans, J Can Res Ther 2016, pp. 87-92.
[16]	Zobly S. and Elfadel M., Whole-Body Bone Scan Image Enhancement Algorithms, 2018 International Conference on Computer, Control, Electrical and Electronic Engineering (ICCCEEE), Khartoum, 2018, pp. 1-4.
[17]	X. Liu, An Improved Image Enhancement Algorithm Based on Fuzzy Set, 2012 International Conference on Medical Physics and Biomedical Engineering, 2012, 790-797.

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APA Style

Sulieman Mohammed Salih Zobly. (2019). Comparison of Different Image Enhancement Methods for Effective Whole-Body Bone Scan Image. Advances in Bioscience and Bioengineering, 7(3), 55-59. https://doi.org/10.11648/j.abb.20190703.16

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ACS Style

Sulieman Mohammed Salih Zobly. Comparison of Different Image Enhancement Methods for Effective Whole-Body Bone Scan Image. Adv. BioSci. Bioeng. 2019, 7(3), 55-59. doi: 10.11648/j.abb.20190703.16

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AMA Style

Sulieman Mohammed Salih Zobly. Comparison of Different Image Enhancement Methods for Effective Whole-Body Bone Scan Image. Adv BioSci Bioeng. 2019;7(3):55-59. doi: 10.11648/j.abb.20190703.16

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@article{10.11648/j.abb.20190703.16,
  author = {Sulieman Mohammed Salih Zobly},
  title = {Comparison of Different Image Enhancement Methods for Effective Whole-Body Bone Scan Image},
  journal = {Advances in Bioscience and Bioengineering},
  volume = {7},
  number = {3},
  pages = {55-59},
  doi = {10.11648/j.abb.20190703.16},
  url = {https://doi.org/10.11648/j.abb.20190703.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.abb.20190703.16},
  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.},
 year = {2019}
}

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TY  - JOUR
T1  - Comparison of Different Image Enhancement Methods for Effective Whole-Body Bone Scan Image
AU  - Sulieman Mohammed Salih Zobly
Y1  - 2019/08/28
PY  - 2019
N1  - https://doi.org/10.11648/j.abb.20190703.16
DO  - 10.11648/j.abb.20190703.16
T2  - Advances in Bioscience and Bioengineering
JF  - Advances in Bioscience and Bioengineering
JO  - Advances in Bioscience and Bioengineering
SP  - 55
EP  - 59
PB  - Science Publishing Group
SN  - 2330-4162
UR  - https://doi.org/10.11648/j.abb.20190703.16
AB  - 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.
VL  - 7
IS  - 3
ER  -

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Author Information

Sulieman Mohammed Salih Zobly

Department of Physics & Medical Instrumentation, University of Gezira, Medani, Sudan

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APA Style

Sulieman Mohammed Salih Zobly. (2019). Comparison of Different Image Enhancement Methods for Effective Whole-Body Bone Scan Image. Advances in Bioscience and Bioengineering, 7(3), 55-59. https://doi.org/10.11648/j.abb.20190703.16

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ACS Style

Sulieman Mohammed Salih Zobly. Comparison of Different Image Enhancement Methods for Effective Whole-Body Bone Scan Image. Adv. BioSci. Bioeng. 2019, 7(3), 55-59. doi: 10.11648/j.abb.20190703.16

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AMA Style

Sulieman Mohammed Salih Zobly. Comparison of Different Image Enhancement Methods for Effective Whole-Body Bone Scan Image. Adv BioSci Bioeng. 2019;7(3):55-59. doi: 10.11648/j.abb.20190703.16

Copy | Download

@article{10.11648/j.abb.20190703.16,
  author = {Sulieman Mohammed Salih Zobly},
  title = {Comparison of Different Image Enhancement Methods for Effective Whole-Body Bone Scan Image},
  journal = {Advances in Bioscience and Bioengineering},
  volume = {7},
  number = {3},
  pages = {55-59},
  doi = {10.11648/j.abb.20190703.16},
  url = {https://doi.org/10.11648/j.abb.20190703.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.abb.20190703.16},
  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.},
 year = {2019}
}

Copy | Download

TY  - JOUR
T1  - Comparison of Different Image Enhancement Methods for Effective Whole-Body Bone Scan Image
AU  - Sulieman Mohammed Salih Zobly
Y1  - 2019/08/28
PY  - 2019
N1  - https://doi.org/10.11648/j.abb.20190703.16
DO  - 10.11648/j.abb.20190703.16
T2  - Advances in Bioscience and Bioengineering
JF  - Advances in Bioscience and Bioengineering
JO  - Advances in Bioscience and Bioengineering
SP  - 55
EP  - 59
PB  - Science Publishing Group
SN  - 2330-4162
UR  - https://doi.org/10.11648/j.abb.20190703.16
AB  - 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.
VL  - 7
IS  - 3
ER  -

Copy | Download