Three dimensional reconstruction of brain tumor along with space occupying in lesions

The three-dimensional models of brain tumors serve as diagnostic assistance for physicians, surgeons, and radiologists. The proposed system establishes an accurate 3D model of the skull vault and overcomes the limitations in the traditional tumors localization methods reported in previous studies. The three-dimensional Gradient Vector Flow (GVF) System recommended in this study uses Magnetic Resonance Images (MRI) and Computed Tomography (CT) as input. It detects the contour of the tumor and the skull region in different slices. Thus, the system constructs a 3D model of the tumor and the skull surface and excludes other tissues. The accuracy of the reconstructed 3D model depends on the accuracy of the tumor contour detection since GVFS plays a significant role in confirming the results obtained without any data loss. Various experiments are conducted to evaluate its accuracy in contour detection and compared the results with those traditional contour detection methods. The recorded results demonstrate that the GVFS method has the highest accuracy in contour detection. Though identifying the suspected region depends on the observer, the outcome is optimistic and unbiased in GVFS. The 2D model can easily be converted into 3D by triggering the elasticity which is already present in GVFS. Hence the proposed method employs direct reconstruction rather than using two different approaches to produce segmentation and reconstruction.