31.12.2013 Views

DRAFT Recommended Practice for Measurements and ...

DRAFT Recommended Practice for Measurements and ...

DRAFT Recommended Practice for Measurements and ...

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

1/29/98 127 C95.3-1991 Revision — 2 nd Draft<br />

10/98 Draft<br />

provide a discrete set of values, at a given distance apart (resolution), <strong>and</strong> hence, the<br />

calculation of 1-gram averaged SARs leads to the same difficulty, particularly if<br />

anatomically-detailed phantoms are used. If regularly-shaped models are used the<br />

problem of calculating the 1-gram SAR is lessened, but then the effects of the shape <strong>and</strong><br />

properties of the ear <strong>and</strong> other features, which definitely affect the SAR distribution, are<br />

not considered.<br />

D5.8 Generalized Multipole Technique (GMT).<br />

During the 1980’s several groups developed what were later unified under the name<br />

generalized multipole technique (GMT) [Ludwig, 1989]. GMT refers to methods which<br />

approximate the unknown field in each domain by several sets of functions which, in<br />

contrast to the method of moments, do not have singularities within their respective<br />

domains or their boundaries.<br />

The expansions are matched at discrete points on the boundary of the domains resulting<br />

in an overdetermined system of equations with a dense matrix. The overdetermination<br />

factor is typically between 2 <strong>and</strong> 10. The system is solved in the least squares sense,<br />

usually with QR-factorization methods [Golub, et al., 1989].<br />

Since the global expansion functions of the GMT are very smooth at the boundaries, the<br />

accuracy close to the boundaries is very high, which is important <strong>for</strong> dosimetry<br />

applications. The greatest advantage of the GMT, however, lies in the fact that the<br />

residual errors resulting from the least squares technique can be employed to validate<br />

the quality of the results [Kuster, 1992a]. Since the largest errors usually occur at the<br />

boundaries, the accuracy of the entire solution can be precisely determined [Regli, 1993].<br />

The GMT, there<strong>for</strong>e, leads to very reliable dosimetric assessments. Since the method is<br />

closely related to other analytical methods, accurate simulation of scattering problems<br />

ranging over many orders of magnitude in fields strength are possible.<br />

The severe limitation of the GMT is the difficulty involved in simulating real-world<br />

applications. In contrast to the method of moments, in which sequential basis functions<br />

are equivalent to a compact current, a GMT expansion is equivalent to a current<br />

distribution over the whole boundary of the domain. For geometrically complex bodies,<br />

the selection <strong>and</strong> location of the origin of the expansion functions is not quite obvious <strong>and</strong><br />

requires considerable expertise.<br />

The method is described in detail in [Hafner,1990]. Commercial software based on the<br />

GMT is commercially available, including a graphic interface <strong>for</strong> the PC. The code has<br />

been successfully applied to dosimetric studies [Kuster, 1992a, <strong>and</strong> Kuster, 1993], <strong>and</strong> to<br />

antenna design [Tay <strong>and</strong> Kuster, 1994].<br />

D5.9 Impedance Method.<br />

To obtain a detailed view of the power deposition pattern resulting from time-varying<br />

magnetic fields used in hyperthermia, a method of modeling portions of the human body<br />

using an impedance network has been developed [G<strong>and</strong>hi, et al., 1984]. The region of<br />

interest is subdivided into a number of cells, each of which is then replaced by an<br />

equivalent impedance, <strong>and</strong> currents induced in the resulting network due to the<br />

prescribed magnetic filed are found by the application of circuit theory. This approach<br />

allows very fine modeling of inhomogeneities in the human body, with cell sizes of 0.5 cm<br />

or smaller possible. In addition, the individual cells are assumed to have anisotropic<br />

electrical properties, <strong>and</strong> this allows accurate modeling of interfaces.<br />

Copyright © 1998 IEEE. All rights reserved. This is an unapproved IEEE St<strong>and</strong>ards Draft,<br />

subject to change.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!