Analysis of Pre-processing Techniques on CT DICOM Images

Authors

  • Bhavani K Department of Information Science and Engineering, Dayananda Sagar College of Engineering, Bengaluru, India
  • MT Gopalakrishna Department of Computer Science and Engineering, K S School of Engineering and Management, Bengaluru, India

DOI:

https://doi.org/10.26438/ijcse/v7i6.9598

Keywords:

CT, SNR, PSNR, Filter, DICOM

Abstract

In the present days, cancer has become a menacing disease. Lung cancer is the foremost cancer affecting both men and women throughout the world. In this regard, biomedical imaging is a technology that aids fundamental medical investigations. Some of the widely applied biomedical imaging techniques are Computed Tomography (CT), Magnetic Resonance Imaging (MRI), etc. Among the imaging techniques, CT images are generally used for detecting life frightening pathologies. CT images present high spatial resolution including contrast deviation in tissue. However, CT images are prone to Gaussian noise due to thermal energy fluctuations. Also CT images get affected by artifact and structural noise which hamper correct diagnosis. To overcome this problem, different de-noising filters like Median filter, Gaussian filter, Box filter, Average filter, X-filter are applied on CT images before further processing. In order to identify the superlative filter metrics like SNR (Signal to Noise Ratio) and PSNR (Peak Signal to Noise Ratio) are used. The CT image dataset in (Digital Imaging and Communications in Medicine) DICOM format provided by the (Lung Image Database Consortium) LIDC has been utilized to perform the analysis in the present work.

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Published

2019-06-30
CITATION
DOI: 10.26438/ijcse/v7i6.9598
Published: 2019-06-30

How to Cite

[1]
K. Bhavani and M. Gopalakrishna, “Analysis of Pre-processing Techniques on CT DICOM Images”, Int. J. Comp. Sci. Eng., vol. 7, no. 6, pp. 95–98, Jun. 2019.

Issue

Vol. 7 No. 6 (2019): IJCSE June Edition

Section

Research Article

License

Copyright (c) 2019 Bhavani K, MT Gopalakrishna

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