Interpolation Method for Identification of Brain Tumor from Magnetic Resonance Images

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Sugandha Singh 1,* Vipin Saxena 1

1. Department of Computer Science, Babasaheb Bhimrao Ambedkar University, Lucknow, 226025, India

* Corresponding author.


Received: 6 Sep. 2022 / Revised: 21 Oct. 2022 / Accepted: 24 Nov. 2022 / Published: 8 Apr. 2023

Index Terms

MRI, Segmentation, Interpolation Method, Brain Tumor and Newton Divided Difference Method


During the past years, it is observed from the literature that, identification of the brain tumor identification in human being is gaining popularity. Diagnosing any disease without manual interaction with great accuracy makes computer science research more demanding, therefore, the present work is related to identify the tumor clots in the affected patients. For this purpose, a well-known Safdarganj Hospital, New Delhi, India is consulted and 2165 Magnetic Resonance Images (MRI) of a single patient are collected through scanning, and interpolation technique of numerical method used to identify the accurate position of the brain tumor. A system model is developed and implemented by the use of Python programming language and MATLAB for the identification of affected areas in the form of a contour of a patient. The desired accuracy and specificity are evaluated using the computed results and also presented in the form of graphs.

Cite This Paper

Sugandha Singh, Vipin Saxena, "Interpolation Method for Identification of Brain Tumor from Magnetic Resonance Images", International Journal of Engineering and Manufacturing (IJEM), Vol.13, No.2, pp. 40-51, 2023. DOI:10.5815/ijem.2023.02.05


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