Effect of morphological algorithms on medical imaging
Main Article Content
Abstract
Handling and improving the quality of medical images with the help of computer software is one of the important stages in the diagnosis and treatment. In this article, we focus on describing the new morphological algorithms by ITK (Insight Segmentation and Registration Toolkit). These morphological operators eliminate noise, detect good edges, and overcome the drawback of traditional edge detection methods.
Article Details
Keywords
Medical image processing, edge detection, image enhancement, morphological algorithms, ITK
References
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[4]. Raman Maini and Dr. Himanshu Aggarwai, “Study and Comparison of various Image Edge Detection Techniques”. International journal of Image Processing, Volume 3, Issue 1.
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[6]. Ishani Thakur, Manish Kansal, “A review on noise reduction from medical images”. International Research Journal of Engineering and Technology (IRJET), Volume 3, Issue 06, pp. 2521-2523, 2016.
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[8]. Asadi Amiri, S. and Hassanpour H., “A Preprocessing Approach for Image Analysis Using Gamma Correction”. International Journal of Computer Applications, 38, pp. 38-46, 2012.
[9]. Raihan Firoz, Md Islam, Md. Shahinuzzaman, "Medical Image Enhancement Using Morphological Transformation". Journal of Data Analysis and Information Processing, pp. 1 - 12, Vol. 4, 2016.
[10]. https://itk.org/
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[12]. Bruni SG, Patafio FM, Dufton JA et-al., “The assessment of anemia from attenuation values of cranial venous drainage on unenhanced computed tomography of the head”. Can Assoc Radiol J, 64 (1), pp.46-50, 2013.
[13]. Lim K.O., Pfefferbaum A., “Segmentation of MR brain images into cerebrospinal fluid spaces, white and gray matter”. Journal of Computer Assisted Tomography, 13, pp. 588–593, 1989.
[14]. C. P. Behrenbruch, S. Petroudi, S. Bond, I, D. Declerck, F. J. Leong, J. M. Brady, “Image filtering techniques for medical image post-processing: an overview”. The British Journal of Radiology, 77, pp. 126-132, 2004.
[15]. M. C. de Andrade, “An Interactive Algorithm for Image Smoothing and Segmentation”. Electronic Letters on Computer Vision and Image Analysis, 4(1), pp. 32-48, 2004.
[16]. H. J. Johnson, M. M. McCormick, and L. Ibanez, "The ITK Software Guide". The Insight Software Co. Shahjahan Ali, M. Nasir Uddin Khan, Md. Khalid Hossain, Md. Khairul nsortium, Chapter 2, pp. 82 - 86, 2016. Available at:
https://itk.org/ItkSoftwareGuide.pdf
[17]. Gaetan Lehmann, "Binary morphological closing and opening image filters". The Insight Journal, 2006.
[18]. Mahesh Kumar, Sukhwinder Singh, "Edge detection and denoising medical image using morphology". International Journal of Engineering Sciences & Emerging Technologies, Vol. 2, pp. 66 - 72, 2012.
[19]. Zhao Yu-qian, Gui Wei-hua, Chen Zhen-cheng, Tang Jing-tian, Li Ling yun, "Medical Images Edge Detection Based on Mathematical Morphology". Engineering in Medicine and Biology 27th Annual Conference, Proceedings of the 2005 IEEE, pp. 6492 – 6495, 2005.
[20]. W. Li, Véronique Haese-Coat, Joseph Ronsin, "Object Detection in Medical Images Based on Improved Morphological Multiresolution Decomposition and Morphological Segmentation". Russian Journal of Biomechanics, pp. 75 - 88, No. 1, 1999.
[21]. Available at: https://github.com/InsightSoftwareConsortium/ITK/tree/master/Examples/Data
[2]. K. Shri Sarika, P. Sudha, "An Analysis of Edge Extraction for MRI Medical Images through Mathematical Morphological Operators Approaches". IJCA Proceedings on International Conference on Research Trends in Computer Technologies, 2013.
[3]. Beant Kaur, Anil Garg, “Comparative study of different edge detection techniques”. International journal of Engineering Science and Technology (IJEST), Vol. 3, No. 3, 2011.
[4]. Raman Maini and Dr. Himanshu Aggarwai, “Study and Comparison of various Image Edge Detection Techniques”. International journal of Image Processing, Volume 3, Issue 1.
[5]. Bindu Bansal, Jasbir Singh Saini, Vipan Bansal and Gurjit Kaur, “Comparison of various edge detection techniques”. Journal of Information and Operations Management, Vol 3, Issue 1, pp. 103-106, 2012.
[6]. Ishani Thakur, Manish Kansal, “A review on noise reduction from medical images”. International Research Journal of Engineering and Technology (IRJET), Volume 3, Issue 06, pp. 2521-2523, 2016.
[7]. Rohini Paul Joseph, C. Senthil Singh, M.Manikandan, “Brain tumor MRI image segmentation and detection in image processing”. International Journal of Research in Engineering and Technology, Volume 03, Issue 01, pp. 1-5, 2014.
[8]. Asadi Amiri, S. and Hassanpour H., “A Preprocessing Approach for Image Analysis Using Gamma Correction”. International Journal of Computer Applications, 38, pp. 38-46, 2012.
[9]. Raihan Firoz, Md Islam, Md. Shahinuzzaman, "Medical Image Enhancement Using Morphological Transformation". Journal of Data Analysis and Information Processing, pp. 1 - 12, Vol. 4, 2016.
[10]. https://itk.org/
[11]. Rachel A. Powsner, Matthew R. Palmer, and Edward R. Powsner, “Essentials of Nuclear Medicine Physics and Instrumentation”. Radio Science, 3rd Ed, 2013.
[12]. Bruni SG, Patafio FM, Dufton JA et-al., “The assessment of anemia from attenuation values of cranial venous drainage on unenhanced computed tomography of the head”. Can Assoc Radiol J, 64 (1), pp.46-50, 2013.
[13]. Lim K.O., Pfefferbaum A., “Segmentation of MR brain images into cerebrospinal fluid spaces, white and gray matter”. Journal of Computer Assisted Tomography, 13, pp. 588–593, 1989.
[14]. C. P. Behrenbruch, S. Petroudi, S. Bond, I, D. Declerck, F. J. Leong, J. M. Brady, “Image filtering techniques for medical image post-processing: an overview”. The British Journal of Radiology, 77, pp. 126-132, 2004.
[15]. M. C. de Andrade, “An Interactive Algorithm for Image Smoothing and Segmentation”. Electronic Letters on Computer Vision and Image Analysis, 4(1), pp. 32-48, 2004.
[16]. H. J. Johnson, M. M. McCormick, and L. Ibanez, "The ITK Software Guide". The Insight Software Co. Shahjahan Ali, M. Nasir Uddin Khan, Md. Khalid Hossain, Md. Khairul nsortium, Chapter 2, pp. 82 - 86, 2016. Available at:
https://itk.org/ItkSoftwareGuide.pdf
[17]. Gaetan Lehmann, "Binary morphological closing and opening image filters". The Insight Journal, 2006.
[18]. Mahesh Kumar, Sukhwinder Singh, "Edge detection and denoising medical image using morphology". International Journal of Engineering Sciences & Emerging Technologies, Vol. 2, pp. 66 - 72, 2012.
[19]. Zhao Yu-qian, Gui Wei-hua, Chen Zhen-cheng, Tang Jing-tian, Li Ling yun, "Medical Images Edge Detection Based on Mathematical Morphology". Engineering in Medicine and Biology 27th Annual Conference, Proceedings of the 2005 IEEE, pp. 6492 – 6495, 2005.
[20]. W. Li, Véronique Haese-Coat, Joseph Ronsin, "Object Detection in Medical Images Based on Improved Morphological Multiresolution Decomposition and Morphological Segmentation". Russian Journal of Biomechanics, pp. 75 - 88, No. 1, 1999.
[21]. Available at: https://github.com/InsightSoftwareConsortium/ITK/tree/master/Examples/Data