FDTD computation of fat layer effects on SAR distribution in a multilayered superquadric-ellipsoidal head model and MRI-based heads proximate to a dipole antenna

Summary form only given. The results are presented of an extensive FDTD computation of fat layer effects on the SAR distribution of head models close to a dipole antenna at 900 and 1800 MHz. In order to quantify the effect of the fat layer in the human head on the SAR distribution conveniently, the head is modeled to be a multi-layered superquadric ellipsoid (with the ears), which comprises 9 different tissues: skin; cartilage; fat; muscle; bone; blood; nerve; brain; eye-lens. The thickness of the fat layer (and other tissue layers together with the shape of the head) can be easily defined and changed. Two MRI-based head models, the Brooks and NIT head models, of which the fat-layer thickness is fixed, are also used to compare with the computational results of the proposed head model. Trends in the fat-layer effects on the SAR distribution are the same for the three head models. The study of fat layer effects of the head may be important for the investigation of exposure assessment for wireless handset antennas.