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Complete 3D brain tumour detection using a two-phase method along with confidence function evaluation

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Abstract

Manual segmentation of brain tumour is a time-consuming process and the result of segmentation varies from person to person. Also, automated tumour region detection has become very crucial for introducing robotics based treatment in the field of medical application. For a precise detection of the complete tumour region, a two phase technique is developed in this work. In the first phase, 2D Magnetic resonance (MR) image slices of axial plane are segmented by applying Fuzzy c-means (FCM) clustering algorithm. The decision about the presence or absence of tumour has been taken by calculating the Confidence function value for all the positively segmented pixels. Subsequently, in second phase, decision values corresponding to the 2D MR slices have been projected in the 3D plane. Evaluation of Confidence function helps to remove a number of false positive pixels from the FCM clustered image. The proposed method has been verified using BRATS 2013, BRATS 2015 and BRATS 2018 databases. Performance evaluation of complete tumour region with BRATS 2013 dataset produces sensitivity, dice similarity score, and specificity of 0.938, 0.9525 and 0.989 respectively. Similarly, sensitivity, dice similarity score, and specificity of value 0.938, 0.9525 and 0.989 has been obtained respectively in BRATS 2015 dataset verification. Performance evaluation with BRATS 2018 dataset produces average Dice score, sensitivity and specificity of 0.921, 0.940 and 0.980 respectively. Performance analysis of the system indicates that the complete tumour region can be detected with improved accuracy using the proposed two-phase method.

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Acknowledgements

The authors would like to express their sincere acknowledgement towards Image Processing Laboratory, Department of ECE, NIT Silchar, Silchar, Assam, India for offering necessary facilities and support.

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Authors and Affiliations

  1. Department of ECE, National Institute of Technology Silchar, Cachar, Assam, India

    Sushanta Debnath & Fazal A. Talukdar

  2. Department of ECE, CMR College of Engineering and Technology, Hyderabad, Telangana, India

    Mohiul Islam

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  1. Sushanta Debnath
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  2. Fazal A. Talukdar
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  3. Mohiul Islam
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Correspondence to Sushanta Debnath.

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Debnath, S., Talukdar, F.A. & Islam, M. Complete 3D brain tumour detection using a two-phase method along with confidence function evaluation. Multimed Tools Appl 81, 437–458 (2022). https://doi.org/10.1007/s11042-021-11443-5

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