Abstract

Computer Assisted Diagnosing (CAD) plays a vital role in healthcare education, surgical training and treatment planning. The backbone of CAD is medical images. The 2D medical images will lack the ability to interpret the information. 3D model construction helps to abolish the hurdle. The 2D medical images can be corrupted by Intensity In-Homogeneity (IIH) or bias. Lesser Intensity In-Homogeneity is hardly noticeable but can cause organ loss while reconstructing a 3D model. The purpose of this research work is to present a novel multi-layered approach that accurately removes the barely perceptible bias, segments the image organ and reconstructs a 3D model from the bias-influenced brain MR images. A Benchmark data set with different bias spectra is used for this research. The formulated 3D model is precise in its illustration without any organ loss.

Authors

A. Farzana¹, M. Mohamed Sathik²
Sadakathullah Appa College, India¹, Francis Xavier Engineering College, India²

Keywords

Brain MRI, Bias, Intensity In-Homogeneity, Segmentation, 3D Reconstruction