Volume 5, Issue 1, June 2019, Page: 29-35
A Combined Algorithm for Noisy Whole-body Bone Scan Image Enhancement
Sulieman Mohammed Salih Zobly, Department of Medical Physics & Instrumentation/National Cancer Institute, University of Gezira, WadMedani, Sudan
Received: May 6, 2019;       Accepted: Jun. 12, 2019;       Published: Jun. 29, 2019
DOI: 10.11648/j.ijsqa.20190501.15      View  140      Downloads  8
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.
Keywords
Gamma Camera, Nuclear Medicine, Image Enhancement, Spatial Enhancement, Fast Fourier Transform
To cite this article
Sulieman Mohammed Salih Zobly, A Combined Algorithm for Noisy Whole-body Bone Scan Image Enhancement, International Journal of Science and Qualitative Analysis. Vol. 5, No. 1, 2019, pp. 29-35. doi: 10.11648/j.ijsqa.20190501.15
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.
Reference
[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.
Browse journals by subject