Three-Dimensional Breast-Tumor Model Reconstruction Using Multispectral Contour Detection Method

We proposed a three-dimensional (3D) model reconstruction system for breast tumors, which will serve as a diagnostic reference for physicians and also address the shortcomings of the traditional breast needle localization method or other methods reported in previous studies. The proposed system uses multispectral breast magnetic resonance images as input and detects the contour of the tumor in different sections using a developed active contour method-multispectral gradient vector flow snake (MGVFS) method. Thus, the system constructs a 3D model of only the breast tumor and excludes other tissues. To confirm the results obtained with the MGVFS method, we conducted experiments to evaluate its accuracy in contour detection, and compared the results with traditional contour methods. Our results demonstrate that the MGVFS method has the highest accuracy with a correction rate as high as 99.79%.