Experimental Validation of Microwave Imaging Prototype and DBIM-IMATCS Algorithm for Bone Health Monitoring

The evaluation of the microwave imaging (MWI) prototype and algorithms on experimental bone phantoms is a precursor step before clinical testing for measuring in vivo dielectric properties human bones. To this end, paper presents tomographic image reconstruction normal diseased calcaneus using an MWI distorted Born iterative method (DBIM) algorithm health monitoring application. A two-layered simplified cylindrical-shaped 3-D printed phantom was used to mimic bone. external internal layers cortical trabecular bone, respectively. Liquid tissue-mimicking mixtures (TMM) osteoporotic osteoarthritis were prepared. placed in electromagnetic inverse scattering problem solved DBIM create complex permittivity images. An $L_{2}$ -based regularization approach adopted along with adaptive thresholding compressed sensing (IMATCS) overcome ill-posedness solve underdetermined set linear equations at each iteration. have shown that -IMATCS provides robust diverse acceptable accuracy. Moreover, distinguished based reconstructed average percentage difference 26% 3 GHz. This has made first attempt validate DBIM-based been employed classify phantoms.