Literature DB >> 11324948

Quasistatic zooming for regional hyperthermia treatment planning.

J B Van de Kamer1, A A De Leeuw, H Kroeze, J J Lagendijk.   

Abstract

Due to current computer limitations, specific absorption rate (SAR) distributions in regional hyperthermia treatment planning (HTP) are limited to centimetre resolution. However, since patient anatomy is highly structured on a millimetre scale, millimetre-resolution SAR modelling is required. A method called quasistatic zooming has been developed to obtain a high-resolution SAR distribution within a volume of interest (VOI): using the low-resolution E-field distribution and the high-resolution patient anatomy, the high-resolution SAR distribution is computed within a small zoom volume Q (small compared with the wavelength in water (lambda(w))). Repeating this procedure yields the zoomed-resolution SAR distribution in an arbitrary VOI. To validate this method for a VOI that is not small compared with lambda(w), high-resolution finite-difference time-domain (FDTD) modelling is needed. Since this is impractical for a clinical applicator, a computer model of a small applicator has been created. A partial patient anatomy is inserted into the applicator and both high- and low-resolution SAR distributions are computed for this geometry. For the same geometry, zoomed-resolution SAR distributions are computed with different sizes of Q. To compare the low- and zoomed-resolution SAR distributions with the high-resolution one, the correlation and averaged absolute difference are computed. These numbers are improved considerably using zooming (correlation 58% to 92%; averaged absolute difference 43% to 20%). These results appear to be independent of the size of Q, up to 0.3 lambda(w). Quasistatic zooming is a valuable tool in high-resolution regional HTP.

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Year:  2001        PMID: 11324948     DOI: 10.1088/0031-9155/46/4/308

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  2 in total

1.  Temperature superposition for fast computation of 3D temperature distributions during optimization and planning of interstitial ultrasound hyperthermia treatments.

Authors:  Vasant A Salgaonkar; Punit Prakash; Chris J Diederich
Journal:  Int J Hyperthermia       Date:  2012       Impact factor: 3.914

2.  Online feedback focusing algorithm for hyperthermia cancer treatment.

Authors:  Kung-Shan Cheng; Vadim Stakhursky; Paul Stauffer; Mark Dewhirst; Shiva K Das
Journal:  Int J Hyperthermia       Date:  2007-11       Impact factor: 3.914

  2 in total

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