ABSTRACT
This chapter discusses that the potential three-dimensional (3D) level set optimization based medical image segmentation is very promising. The incidence of breast cancer is increasing rapidly with high levels of mortality. In microwave breast imaging, low power microwave signals are transmitted on the breast using antennas. Computationally efficient 3D level set method is implemented for microwave breast imaging in, which requires only one FDTD simulation per iteration. Human breast complex permittivity profile reconstruction is always challenging in three dimensions. Relative permittivity of human breast tissues is a function of temperature and frequency. Consider antenna placement surrounding numerical breast phantom for inverse scattering problem formulation. Level set based evolution and optimization approaches are described in great detail for inverse problems involving obstacles. Tikhonov regularization is a very well known technique. The adjoint solution of level set optimization is computationally heavy. Level set based optimization performs better than traditional optimization schemes due to its natural merging and breaking features.
