Enhanced noninvasive imaging system for dispersive highly coherent space

A new noninvasive nearfield electromagnetic imaging (EMI) system for highly coherent and compressively sensed (CS) data at only few sensing positions is presented in this paper. Principal component analysis (PCA) in combination with spatial CS and background subtraction is implemented for the enhanced imaging of highly dispersive and coherent target space. The proposed imaging system is applied by forming an incoherent dictionary, which is later tested and validated for head imaging of single and multiple brain tumor targets using CS based sparse recovery. The head imaging model containing the tumor with an applicator antenna array around it is designed using CST Microwave Studio. Consequently, enhanced imaging results reveal the potential of the developed imaging system.