Breast cancer is one of the deadly disease which leads to death in women now a days. The challenges in assessing malignant tumor heterogeneity force existing clinical evaluations to their limits and account for most targeted therapy failures and clinical outcome uncertainties in breast cancer patients. A novel decision support system for malignant tumor is proposed using 3D reconstruction and volumetric analysis. The tumor region is extracted using OTSU thres holding and the 3D reconstruction is done by adopting interpolation techniques. After the image reconstruction, the volumetric analysis is done by summing the quantity of voxels set apart as the object of interest within. The absolute mean curvature per unit area is determined by summing the absolute value of the mean curvature γ above the object of interest surface. A decision can be made on whether the patient has to undergo lumpectomy or quadrantectomy or mastectomy based on the volumetric analysis.
Volume 12 | Issue 3