Hybrid Optical Scanning Holography for Automatic Three-Dimensional Reconstruction of Brain Tumors from MRI using Active Contours

Hybrid Optical Scanning Holography for Automatic Three-Dimensional Reconstruction of Brain Tumors from MRI using Active Contours

Volume 9, Issue 4, Page No 07-13, 2024

Author’s Name: Abdennacer El-Ouarzadi1, Anass Cherkaoui1, Abdelaziz Essadike2, Abdenbi Bouzid1

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1 Moulay Ismail University, Physical Sciences and Engineering, Faculty of Sciences, Meknès, 11201, Morocco
2Hassan First University of Settat, Higher Institute of Health Sciences, Laboratory of Health Sciences and Technologies, Settat, 26000, Morocco

a)whom correspondence should be addressed. E-mail: a.elouarzadi@edu.umi.ac.ma

Adv. Sci. Technol. Eng. Syst. J. 9(4), 07-13 (2024); a  DOI: 10.25046/aj090402

Keywords: Bain tumor detection, Fully Automatic Segmentation, Active contour, Optical Scanning Holography (OSH), 3D Automatic Reconstruction

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Abstract

This paper presents a method for automatic 3D segmentation of brain tumors in MRI using optical scanning holography. Automatic segmentation of tumors from 2D slices (coronal, sagittal and axial) enables efficient 3D reconstruction of the region of interest, eliminating the human errors of manual methods. The method uses enhanced optical scanning holography with a cylindrical lens, scanning line by line, and displays MRI images via a spatial light modulator. The outgoing phase component of the scanned data, collected digitally, reliably indicates the position of the tumor.The tumor position is fed into an active contour model (ACM), which speeds up segmentation of the seeding region. The tumor is then reconstructed in 3D from the segmented regions in each slice, enabling tumor volume to be calculated and cancer progression to be estimated. Experiments carried out on patient MRI datasets show satisfactory results. The proposed approach can be integrated into a computer-aided diagnosis (CAD) system, helping doctors to localize the tumor, estimate its volume and provide 3D information to improve treatment techniques such as radiosurgery, stereotactic surgery or chemotherapy administration. In short, this method offers a precise and reliable solution for the segmentation and 3D reconstruction of brain tumors, facilitating diagnosis and treatment.

Received: 03 May, 2024, Revised: 26 June, 2024, Accepted: 27 June, 2024, Published Online: 10 July, 2024

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