A Combined Algorithm for Noisy Whole-body Bone Scan Image Enhancement

Sulieman Mohammed Salih Zobly

doi:doi:10.11648/j.ijsqa.20190501.15

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A Combined Algorithm for Noisy Whole-body Bone Scan Image Enhancement

Sulieman Mohammed Salih Zobly

Published in International Journal of Science and Qualitative Analysis (Volume 5, Issue 1)

Received: 6 May 2019 Accepted: 12 June 2019 Published: 29 June 2019

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Abstract

A bone scan is one of the most important diagnoses done using a gamma camera in nuclear medicine for detecting bone problems, such as cancer lesion, to find out if the cancers spread to the bones besides finding out how the metastases respond to chemotherapy and radiotherapy treatment. Generally nuclear medicine images degraded by a large amount of noise, which is effecting on the resulting image. In this work we work we want to propose a combined enhancement algorithm based on fast Fourier transform and Sobel, for metastases whole-body bone scan image enhancement, to reduce the image noise, increase the image quality for better viewing and assist the nuclear medicine physician diagnosing images effectively. The proposed algorithm compared with existing enhancement algorithms such as histogram equalization, adaptive histogram equalization, log transformation and gamma correction. The algorithm applied to seven patients with bone metastases. It turns out that the proposed algorithm can help to improve the quality and visualization of the images. Our simulations show that the proposed algorithm removes the noise without significant blurring the structure of the image, increase the image quality and gives clear legions. The algorithms evaluated by calculating PSNR and RMSE. The proposed algorithm gives higher PSNR and lower RMSE.

Published in	International Journal of Science and Qualitative Analysis (Volume 5, Issue 1)
DOI	10.11648/j.ijsqa.20190501.15
Page(s)	29-35
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

Gamma Camera, Nuclear Medicine, Image Enhancement, Spatial Enhancement, Fast Fourier Transform

References

[1]	G. Palanisamy and A. Samukutti, “A Novel Embedded Set Partitioning Significant and Zero Block Coding,” The International Arab Journal of Information Technology, vol. 5 (2), pp. 132- 139, 2008.
[2]	T. Kim et al., Image enhancement using histogram equalization, SIP/WSE, pp. 17-24, 2012.
[3]	A. Das, Guide to Signals and Patterns in Image Processing Foundation, Methods and Applications, Springer International Publishing Switzerland 2015.
[4]	W. Yang et al., Signals and Systems with MATLAB, Springer, 2009.
[5]	E. Irmak, A. Ertas, A review of robust image enhancement algorithms and their applications, Smart Energy Grid Engineering IEEE conference, 2016.
[6]	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), pp. 485-490, 2017.
[7]	S. Zobly M. Abdelrhmanm Whole-body bone scan image enhancement algorithms, International Conference on Computer, Control, Electrical and Electronic Engineering 2018.
[8]	R. Gonzalez, R. Woods, Digital Image Processing, 3rd edition, Pearson Education, In., 2009.
[9]	C. Love, et al, Radionuclide bone imaging: An Illustrative review, Radio Graphics, vol. 23(2), pp. 341-358, 2003.
[10]	A. Lagaru, R. Minamimoto, Nuclear Medicine Imaging Techniques for Detection of Skeletal Metastases in Breast Cancer, PubMed, vol. 13(3):383-393, 2018.
[11]	W. Noordzij, A. Glaudemans, Nuclear Medicine Imaging Techniques. In: A. Glaudemans, et al. Nuclear Medicine and Radiologic Imaging in Sports Injuries, Springer, Berlin, Heidelberg.
[12]	M. Connor, et al, The Art of bone Scintigraphy-technical aspect, J Nucl Med, vol. 32, pp. 2332-2341.
[13]	E. Kim, et al. Handbook of Nuclear Medicine and Molecular Imaging: Principles and Clinical Applications, Cdr edition, World Scientific Publishing Company, 2012.
[14]	FD Rollo. Molecular imaging: an overview and clinical applications, Radiol Manage, vol. 25(3):28-32, 2003.
[15]	Geoff Dougherty, digital image processing for medical application, Cambridge University Press United State, New York, 2009, ISBN: 978-0-521-86085-7.
[16]	V. Ponomaryov, et al., Image and video quality improvement techniques for emerging applications, EURASIP J. Adv. Signal Process 2012.
[17]	M. Takezawa et al., Quality improvement technique for JPEG images with fractal image coding, IEEE International Symposium on Circuits and Systems 2005.
[18]	S Rahman, et al., Image enhancement in spatial domain: A comprehensive study, IEEE 17th International Conference on Computer and Information Technology (ICCIT), 2014.

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Sulieman Mohammed Salih Zobly. (2019). A Combined Algorithm for Noisy Whole-body Bone Scan Image Enhancement. International Journal of Science and Qualitative Analysis, 5(1), 29-35. https://doi.org/10.11648/j.ijsqa.20190501.15

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ACS Style

Sulieman Mohammed Salih Zobly. A Combined Algorithm for Noisy Whole-body Bone Scan Image Enhancement. Int. J. Sci. Qual. Anal. 2019, 5(1), 29-35. doi: 10.11648/j.ijsqa.20190501.15

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AMA Style

Sulieman Mohammed Salih Zobly. A Combined Algorithm for Noisy Whole-body Bone Scan Image Enhancement. Int J Sci Qual Anal. 2019;5(1):29-35. doi: 10.11648/j.ijsqa.20190501.15

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@article{10.11648/j.ijsqa.20190501.15,
  author = {Sulieman Mohammed Salih Zobly},
  title = {A Combined Algorithm for Noisy Whole-body Bone Scan Image Enhancement},
  journal = {International Journal of Science and Qualitative Analysis},
  volume = {5},
  number = {1},
  pages = {29-35},
  doi = {10.11648/j.ijsqa.20190501.15},
  url = {https://doi.org/10.11648/j.ijsqa.20190501.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsqa.20190501.15},
  abstract = {A bone scan is one of the most important diagnoses done using a gamma camera in nuclear medicine for detecting bone problems, such as cancer lesion, to find out if the cancers spread to the bones besides finding out how the metastases respond to chemotherapy and radiotherapy treatment. Generally nuclear medicine images degraded by a large amount of noise, which is effecting on the resulting image. In  this work we work we want to propose a combined enhancement algorithm based on fast Fourier transform and Sobel, for metastases whole-body bone scan image enhancement, to reduce the image noise, increase the image quality for better viewing and assist the nuclear medicine physician diagnosing images effectively. The proposed algorithm compared with existing enhancement algorithms such as histogram equalization, adaptive histogram equalization, log transformation and gamma correction. The algorithm applied to seven patients with bone metastases. It turns out that the proposed algorithm can help to improve the quality and visualization of the images. Our simulations show that the proposed algorithm removes the noise without significant blurring the structure of the image, increase the image quality and gives clear legions. The algorithms evaluated by calculating PSNR and RMSE. The proposed algorithm gives higher PSNR and lower RMSE.},
 year = {2019}
}

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TY  - JOUR
T1  - A Combined Algorithm for Noisy Whole-body Bone Scan Image Enhancement
AU  - Sulieman Mohammed Salih Zobly
Y1  - 2019/06/29
PY  - 2019
N1  - https://doi.org/10.11648/j.ijsqa.20190501.15
DO  - 10.11648/j.ijsqa.20190501.15
T2  - International Journal of Science and Qualitative Analysis
JF  - International Journal of Science and Qualitative Analysis
JO  - International Journal of Science and Qualitative Analysis
SP  - 29
EP  - 35
PB  - Science Publishing Group
SN  - 2469-8164
UR  - https://doi.org/10.11648/j.ijsqa.20190501.15
AB  - A bone scan is one of the most important diagnoses done using a gamma camera in nuclear medicine for detecting bone problems, such as cancer lesion, to find out if the cancers spread to the bones besides finding out how the metastases respond to chemotherapy and radiotherapy treatment. Generally nuclear medicine images degraded by a large amount of noise, which is effecting on the resulting image. In  this work we work we want to propose a combined enhancement algorithm based on fast Fourier transform and Sobel, for metastases whole-body bone scan image enhancement, to reduce the image noise, increase the image quality for better viewing and assist the nuclear medicine physician diagnosing images effectively. The proposed algorithm compared with existing enhancement algorithms such as histogram equalization, adaptive histogram equalization, log transformation and gamma correction. The algorithm applied to seven patients with bone metastases. It turns out that the proposed algorithm can help to improve the quality and visualization of the images. Our simulations show that the proposed algorithm removes the noise without significant blurring the structure of the image, increase the image quality and gives clear legions. The algorithms evaluated by calculating PSNR and RMSE. The proposed algorithm gives higher PSNR and lower RMSE.
VL  - 5
IS  - 1
ER  -

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Author Information

Sulieman Mohammed Salih Zobly

Department of Medical Physics & Instrumentation/National Cancer Institute, University of Gezira, WadMedani, Sudan

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APA Style

Sulieman Mohammed Salih Zobly. (2019). A Combined Algorithm for Noisy Whole-body Bone Scan Image Enhancement. International Journal of Science and Qualitative Analysis, 5(1), 29-35. https://doi.org/10.11648/j.ijsqa.20190501.15

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ACS Style

Sulieman Mohammed Salih Zobly. A Combined Algorithm for Noisy Whole-body Bone Scan Image Enhancement. Int. J. Sci. Qual. Anal. 2019, 5(1), 29-35. doi: 10.11648/j.ijsqa.20190501.15

Copy | Download

AMA Style

Sulieman Mohammed Salih Zobly. A Combined Algorithm for Noisy Whole-body Bone Scan Image Enhancement. Int J Sci Qual Anal. 2019;5(1):29-35. doi: 10.11648/j.ijsqa.20190501.15

Copy | Download

@article{10.11648/j.ijsqa.20190501.15,
  author = {Sulieman Mohammed Salih Zobly},
  title = {A Combined Algorithm for Noisy Whole-body Bone Scan Image Enhancement},
  journal = {International Journal of Science and Qualitative Analysis},
  volume = {5},
  number = {1},
  pages = {29-35},
  doi = {10.11648/j.ijsqa.20190501.15},
  url = {https://doi.org/10.11648/j.ijsqa.20190501.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsqa.20190501.15},
  abstract = {A bone scan is one of the most important diagnoses done using a gamma camera in nuclear medicine for detecting bone problems, such as cancer lesion, to find out if the cancers spread to the bones besides finding out how the metastases respond to chemotherapy and radiotherapy treatment. Generally nuclear medicine images degraded by a large amount of noise, which is effecting on the resulting image. In  this work we work we want to propose a combined enhancement algorithm based on fast Fourier transform and Sobel, for metastases whole-body bone scan image enhancement, to reduce the image noise, increase the image quality for better viewing and assist the nuclear medicine physician diagnosing images effectively. The proposed algorithm compared with existing enhancement algorithms such as histogram equalization, adaptive histogram equalization, log transformation and gamma correction. The algorithm applied to seven patients with bone metastases. It turns out that the proposed algorithm can help to improve the quality and visualization of the images. Our simulations show that the proposed algorithm removes the noise without significant blurring the structure of the image, increase the image quality and gives clear legions. The algorithms evaluated by calculating PSNR and RMSE. The proposed algorithm gives higher PSNR and lower RMSE.},
 year = {2019}
}

Copy | Download

TY  - JOUR
T1  - A Combined Algorithm for Noisy Whole-body Bone Scan Image Enhancement
AU  - Sulieman Mohammed Salih Zobly
Y1  - 2019/06/29
PY  - 2019
N1  - https://doi.org/10.11648/j.ijsqa.20190501.15
DO  - 10.11648/j.ijsqa.20190501.15
T2  - International Journal of Science and Qualitative Analysis
JF  - International Journal of Science and Qualitative Analysis
JO  - International Journal of Science and Qualitative Analysis
SP  - 29
EP  - 35
PB  - Science Publishing Group
SN  - 2469-8164
UR  - https://doi.org/10.11648/j.ijsqa.20190501.15
AB  - A bone scan is one of the most important diagnoses done using a gamma camera in nuclear medicine for detecting bone problems, such as cancer lesion, to find out if the cancers spread to the bones besides finding out how the metastases respond to chemotherapy and radiotherapy treatment. Generally nuclear medicine images degraded by a large amount of noise, which is effecting on the resulting image. In  this work we work we want to propose a combined enhancement algorithm based on fast Fourier transform and Sobel, for metastases whole-body bone scan image enhancement, to reduce the image noise, increase the image quality for better viewing and assist the nuclear medicine physician diagnosing images effectively. The proposed algorithm compared with existing enhancement algorithms such as histogram equalization, adaptive histogram equalization, log transformation and gamma correction. The algorithm applied to seven patients with bone metastases. It turns out that the proposed algorithm can help to improve the quality and visualization of the images. Our simulations show that the proposed algorithm removes the noise without significant blurring the structure of the image, increase the image quality and gives clear legions. The algorithms evaluated by calculating PSNR and RMSE. The proposed algorithm gives higher PSNR and lower RMSE.
VL  - 5
IS  - 1
ER  -

Copy | Download