Title: 3D reconstruction of structural magnetic resonance neuroimaging based on computer aided detection

Authors: Mai S. Mabrouk; Heba M. Afify; Samir Y. Marzouk

Addresses: Biomedical Engineering, Misr University for Science and technology (MUST University), Egypt ' Systems and Biomedical Engineering Department, Higher Institute of Engineering in El-Shorouk City, Cairo, Egypt ' Department of Basic and Applied Science, Arab Academy of Science and Technology, Egypt

Abstract: Computer aided detection (CAD) has numerous achievements in medical image processing field which represents a communication. Despite the advance in the radiological diagnosis of neuroimaging, magnetic resonance imaging (MRI) has some restrictions related to human errors and incomplete interpretation of brain tumour regions. Also, MRI produces 2D images of the brain that are very difficult to handle different types of tumour. This study investigated CAD system using 3D image reconstruction of MR brain and tumour structures efficiently. In addition, the proposed system applied the fuzzy C-means (FCM) algorithm as image segmentation, and support vector machine (SVM) as image classification for tumour detection of MR brain images. The results confirmed that this 3D model supported the advanced view of human brain diseases. The accurate and quantitative research results are expected to enhance the healthcare technology.

Keywords: computer aided detection; CAD; magnetic resonance imaging; MRI; 3D image reconstruction; support vector machine; SVM; fuzzy C-means algorithm; fuzzy C-means; FCM.

DOI: 10.1504/IJBIC.2021.114881

International Journal of Bio-Inspired Computation, 2021 Vol.17 No.3, pp.174 - 181

Accepted: 22 Sep 2020
Published online: 10 May 2021 *

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