A semi-automatic method for developing an anthropomorphic numerical model of dielectric anatomy by MRI

• Published in: Physics in medicine & biology 2003-10, Vol.48 (19), p.3157-3170
• Main Authors: Mazzurana, M, Sandrini, L, Vaccari, A, Malacarne, C, Cristoforetti, L, Pontalti, R
• Format: Article
• Language: English
• Subjects: Algorithms; Anthropometry - methods; Biological and medical sciences; Body Burden; Computer Simulation; Electric Impedance; Humans; Image Interpretation, Computer-Assisted - methods; Magnetic Resonance Imaging - instrumentation; Magnetic Resonance Imaging - methods; Medical sciences; Microwaves; Models, Anatomic; Models, Biological; Phantoms, Imaging; Radiation Dosage; Radiometry - methods; Radiotherapy. Instrumental treatment. Physiotherapy. Reeducation. Rehabilitation, orthophony, crenotherapy. Diet therapy and various other treatments (general aspects); Raphanus; Relative Biological Effectiveness; Reproducibility of Results; Sensitivity and Specificity; Technology. Biomaterials. Equipments. Material. Instrumentation; Whole-Body Counting - methods
• ISSN: 0031-9155; 1361-6560
• DOI: 10.1088/0031-9155/48/19/005

Complex permittivity values have a dominant role in the overall consideration of interaction between radiofrequency electromagnetic fields and living matter, and in related applications such as electromagnetic dosimetry. There are still some concerns about the accuracy of published data and about their variability due to the heterogeneous nature of biological tissues. The aim of this study is to provide an alternative semi-automatic method by which numerical dielectric human models for dosimetric studies can be obtained. Magnetic resonance imaging (MRI) tomography was used to acquire images. A new technique was employed to correct nonuniformities in the images and frequency-dependent transfer functions to correlate image intensity with complex permittivity were used. The proposed method provides frequency-dependent models in which permittivity and conductivity vary with continuity--even in the same tissue--reflecting the intrinsic realistic spatial dispersion of such parameters. The human model is tested with an FDTD (finite difference time domain) algorithm at different frequencies; the results of layer-averaged and whole-body-averaged SAR (specific absorption rate) are compared with published work, and reasonable agreement has been found. Due to the short time needed to obtain a whole body model, this semi-automatic method may be suitable for efficient study of various conditions that can determine large differences in the SAR distribution, such as body shape, posture, fat-to-muscle ratio, height and weight.