Title: Performance analysis of pre-processing filters using computed tomography images for liver lesion diagnosis

Authors: N. Shanila; R.S. Vinod Kumar; R. Ramya Ravi

Addresses: Department of Electronics and Communication Engineering, Noorul Islam Centre for Higher Education, Kumaracoil, Kanyakumari, Tamil Nadu, India ' Department of Electronics and Communication Engineering, Noorul Islam Centre for Higher Education, Kumaracoil, Kanyakumari, Tamil Nadu, India ' Department of Electronics and Communication Engineering, Noorul Islam Centre for Higher Education, Kumaracoil, Kanyakumari, Tamil Nadu, India

Abstract: In medical research, segmentation can be used in separating different tissues from each other, through extracting and classifying features. This paper aims to discuss the need, concept and advantages of pre-processing techniques normally used for enhancing the scanned images before segmentation. In addition, three pre-processing filters, which are used to remove the artefacts from the scanned images are also implemented and intended to analyse the problems which were developed during the simulation of liver pre-processing methods. Of the three methods, the curvature anisotropic diffusion filters performed better than the other filters and the obtained results are satisfactory. Finally a detailed analysis of parameter selection for curvature anisotropic diffusion filtering in computed tomography images is performed.

Keywords: image processing? liver segmentation? MRI? CT? pre-processing? curvature anisotropic diffusion filter? noise removal.

DOI: 10.1504/IJBET.2021.119505

International Journal of Biomedical Engineering and Technology, 2021 Vol.37 No.2, pp.201 - 218

Received: 23 Apr 2018
Accepted: 12 Sep 2018
Published online: 08 Dec 2021 *

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