Detection of brain tumour using segmentation

  • Authors

    • V V.Prakash
    • K Manjunathachari
    2018-03-19
    https://doi.org/10.14419/ijet.v7i2.8.10559
  • Human Brain Tumour, Magnetic Resonance Image, Water Shed Segmentation.

  • Abstract

    This paper presents the detection of the brain tumour by improvised image segmentation technique. The Magnetic Resonance Image is considered for the purpose of detecting the brain tumour. The human brain occupies 2% of the body’s weight. The Magnetic Resonance Image is preferred over the CT scan image for accuracy of the MRI based brain tumour detection is high. Though there are several techniques of segmentations, the water shed proves to be advantages in detecting the region of interest. The score plot of the vertical and horizontal plane exhibits high efficiency and feasibility of the technique presented.

  • References

    1. [1] Liu, M. Li, J. Wang, F. Wu, T. Liu, and Y. Pan, “A survey of MRI-based brain tumour segmentation methods,†Tsinghua Science and Technology, Vol. 19(6), pp. 578–595, 2014.

      [2] Parmeet Kaur, Harish Kundra, “Usage of Brain Tumor Segmentation in MRI Images Using Intelligent Water Drops Algorithm†International Journal of Engineering And Computer Science ISSN:2319-7242,Vol 6(6), pp. 21732-21736, 2017.

      [3] Qazi Nida-Ur-Rehman1, Imran Ahmed, Ghulam Masood, Najam-U-Saquib, Muhammad Khan, Awais Adnan, “Segmentation of Brain Tumor in Multimodal MRI using Histogram Differencing & KNNâ€,International Journal of Advanced Computer Science and Applications, Vol. 8( 4), pp.249-256, 2017.

      [4] T.Kalaiselvi, S.Vijayalakshmi, K.Somasundara, “Segmentation Of Brain Portion From MRI Of Head Scans Using Kmeans Clusterâ€, International Journal Of Computational Intelligence And Informatic ,Vol. 1,No. 1, Pp 75-79,2011.

      [5] Rohini Paul Joseph , C. Senthil Singh , M.Manikandan3, “Brain Tumor MRI Image Segmentation And Detection In Image Processingâ€

      [6] S. Damodharan and D. Raghavan, “Combining tissue segmentation and neural network for brain tumour detection,†International Arab Journal of Information Technology, Vol. 12(1), pp. 42–52, 2015.

      [7] Nilesh Bhaskarrao Bahadure, Arun Kumar Ray, and Har Pal Thethi, “Image Analysis for MRI Based Brain Tumor Detection and Feature Extraction Using Biologically Inspired BWT and SVMâ€, International Journal of Biomedical Imaging, Hindawi Publications, pp: 1-12, 2017.

      [8] A. Chaddad, “Automated feature extraction in brain tumour by magnetic resonance imaging using gaussian mixture models,†International Journal of Biomedical Imaging, vol. 2015, Article ID 868031, 11 pages, 2015.

      [9] D. Jagadish, K. Sindhu Priya, V. Saranya, A.S. Akshara, G. Mohanapriya, “Detection of Brain Tumour by Image Fusion Based on Discrete Wavelet Transform†Journal of Chemical and Pharmaceutical Sciences ISSN: 0974-2115 , Special Issue 6, pp:158-161, 2017.

      [10] Abd El Kader Isselmou, Shuai Zhang, Guizhi Xu, “A Novel Approach for Brain Tumor Detection Using MRI Imagesâ€, J. Biomedical Science and Engineering, Vol: 9, pp: 44-52, 2016.

      [11] K.Bhima and A.Jagan, “Analysis of MRI based Brain Tumor Identification using Segmentation Techniqueâ€, International Conference on Communication and Signal Processing, pp: 2109-2113, 2016.

      [12] R. Kalaivani, K. Ramash Kumar, S. Jeevananthan, “Implementation of VSBSMC plus PDIC for Fundamental Positive Output Super Lift-Luo Converter,†Journal of Electrical Engineering, Vol. 16, Edition: 4, 2016, pp. 243-258.

      [13] K. Ramash Kumar,â€Implementation of Sliding Mode Controller plus Proportional Integral Controller for Negative Output Elementary Boost Converter,†Alexandria Engineering Journal (Elsevier), 2016, Vol. 55, No. 2, pp. 1429-1445.

      [14] P. Sivakumar, V. Rajasekaran, K. Ramash Kumar, “Investigation of Intelligent Controllers for Varibale Speeed PFC Buck-Boost Rectifier Fed BLDC Motor Drive,†Journal of Electrical Engineering (Romania), Vol.17, No.4, 2017, pp. 459-471.

      [15] K. Ramash Kumar, D.Kalyankumar, DR.V.Kirbakaran†An Hybrid Multi level Inverter Based DSTATCOM Control, Majlesi Journal of Electrical Engineering, Vol. 5. No. 2, pp. 17-22, June 2011, ISSN: 0000-0388.

      [16] K. Ramash Kumar, S. Jeevananthan, “A Sliding Mode Control for Positive Output Elementary Luo Converter,†Journal of Electrical Engineering, Volume 10/4, December 2010, pp. 115-127.

      [17] K. Ramash Kumar, Dr.S. Jeevananthan,†Design of a Hybrid Posicast Control for a DC-DC Boost Converter Operated in Continuous Conduction Mode†(IEEE-conference PROCEEDINGS OF ICETECT 2011), pp-240-248, 978-1-4244-7925-2/11.

      [18] K. Ramash Kumar, Dr. S. Jeevananthan,†Design of Sliding Mode Control for Negative Output Elementary Super Lift Luo Converter Operated in Continuous Conduction Modeâ€, (IEEE conference Proceeding of ICCCCT-2010), pp. 138-148, 978-1-4244-7768-5/10.

      [19] K. Ramash Kumar, S. Jeevananthan, S. Ramamurthy†Improved Performance of the Positive Output Elementary Split Inductor-Type Boost Converter using Sliding Mode Controller plus Fuzzy Logic Controller, WSEAS TRANSACTIONS on SYSTEMS and CONTROL, Volume 9, 2014, pp. 215-228.

      [20] N. Arunkumar, T.S. Sivakumaran, K. Ramash Kumar, S. Saranya, â€Reduced Order Linear Quadratic Regulator plus Proportional Double Integral Based Controller for a Positive Output Elementary Super Lift Luo-Converter,†JOURNAL OF THEORETICAL AND APPLIED INFORMATION TECHNOLOGY, July 2014. Vol. 65 No.3, pp. 890-901.

      [21] Arunkumar, T.S. Sivakumaran, K. Ramash Kumar, “Improved Performance of Linear Quadratic Regulator plus Fuzzy Logic Controller for Positive Output Super Lift Luo-Converter,†Journal of Electrical Engineering, Vol. 16, Edition:3, 2016, pp. 397-408.

      [22] S.V.Manikanthan and K.Baskaran “Low Cost VLSI Design Implementation of Sorting Network for ACSFD in Wireless Sensor Networkâ€, CiiT International Journal of Programmable Device Circuits and Systems,Print: ISSN 0974 – 973X & Online: ISSN 0974 – 9624, Issue : November 2011, PDCS112011008.

      [23] T. Padmapriya and V. Saminadan, “Distributed Load Balancing for Multiuser Multi-class Traffic in MIMO LTE-Advanced Networksâ€, Research Journal of Applied Sciences, Engineering and Technology (RJASET) - Maxwell Scientific Organization , ISSN: 2040-7459; e-ISSN: 2040-7467, vol.12, no.8, pp:813-822, April 2016.

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  • How to Cite

    V.Prakash, V., & Manjunathachari, K. (2018). Detection of brain tumour using segmentation. International Journal of Engineering & Technology, 7(2.8), 688-691. https://doi.org/10.14419/ijet.v7i2.8.10559

    Received date: 2018-03-24

    Accepted date: 2018-03-24

    Published date: 2018-03-19