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Implementation for brain tumor detection and three dimensional visualization model development for reconstruction


Article Information

Title: Implementation for brain tumor detection and three dimensional visualization model development for reconstruction

Authors: Sunil L. Bangare, G. Pradeepini, Shrishailappa T. Patil

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2018

Volume: 13

Issue: 2

Language: English

Categories

Abstract

This work has been proposed to detect the brain tumor using various preprocessing techniques like grayscale, thresholding, edge detection and 3D model development and reconstruction is done on the detected tumor. The tumor is further categorized in three types and is viewed in 3 dimensional. This idea has been initiated as an assessment tool for the diagnosis of brain tumors. Earlier methods used by doctors may raise human mistakes. Hence, a tool is required to collect, classify and analyse the medical data automatically to reduce human mistakes that may lead to fatal errors. The tumors in different MRI are compared to examine the difference in stages of tumor or two patient’s tumor. This paper comes up with a two dimensional view of all stages of the tumor of a patient. The OTSU’s algorithm has been used for calculating threshold, as it’s fast and computes an optimized threshold value. The Sobel edge detection technique is used to expose the drastic change. Finally, function is carried out to calculate the severe blocks and the less severe blocks in the tumor. Results for the brain tumor MRI have been disposed. Three dimensional view is generated.


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