Brain Tumour Detection Using 3D Reconstruction

• Author(s): Aliya Mustakin Ansari; Dnyaneshwari Katkar; Shrejal Sahani; Prof. Salaba Jacob
• Paper ID: 1717105
• Page: 4029-4036
• Published Date: 05-05-2026
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 9 Issue 10 April-2026

Abstract

The early detection of brain tumour is one of the most difficult problems in modern medicine. Even though radiologists are highly experienced and trained, they still have difficulty detecting brain tumours because of the volume and complexity of MRI data; although radiologists are highly skilled, they will occasionally make mistakes that could have serious consequences. The purpose of this paper is to provide the medical community with a complete diagnostic solution that allows clinicians to automate the process from obtaining raw MRI scans to generating a three-dimensional visualisation of a brain tumour. The proposed method creates a unified workflow by applying a single solution to detection, segmentation, and visualisation as three distinct processes. The heart of the proposed system is a three-dimensional convolutional neural network (CNN), which generates spatially continuous three-dimensional MRI volumes rather than simply producing individual slices of two-dimensional data at different points in time and spaceThe pixel-wise auto-mated tumor detection model uses the U-Net architecture to segment tumors. Each mask is then converted into a three-dimensional mesh of the tumor shape for visualization purposes. The system categorizes findings into four types—Glioma, Menin-gioma, Pituitary, and No Tumor—and provides a confidence score for each of these classifications. The model achieved an accuracy of 98.2% using the BraTS dataset for validation [3].

Keywords

Brain Tumor Detection, MRI Analysis, Deep Learning, 3D CNN, U-Net, 3D Reconstruction, Django Web Application

Citations

IRE Journals:
Aliya Mustakin Ansari, Dnyaneshwari Katkar, Shrejal Sahani, Prof. Salaba Jacob "Brain Tumour Detection Using 3D Reconstruction" Iconic Research And Engineering Journals Volume 9 Issue 10 2026 Page 4029-4036 https://doi.org/10.64388/IREV9I10-1717105

IEEE:
Aliya Mustakin Ansari, Dnyaneshwari Katkar, Shrejal Sahani, Prof. Salaba Jacob "Brain Tumour Detection Using 3D Reconstruction" Iconic Research And Engineering Journals, 9(10) https://doi.org/10.64388/IREV9I10-1717105