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Maxwell's equations-based dynamic laser-tissue interaction model.
Ahmed, Elharith M; Barrera, Frederick J; Early, Edward A; Denton, Michael L; Clark, C D; Sardar, Dhiraj K.
Afiliação
  • Ahmed EM; Department of Physics and Astronomy, University of Texas at San Antonio, One UTSA Circle, San Antonio, TX 78249, USA; TASC Inc., 4141 Petroleum Road, Ft. Sam Houston, TX 78234-2644, USA.
Comput Biol Med ; 43(12): 2278-86, 2013 Dec.
Article em En | MEDLINE | ID: mdl-24290944
ABSTRACT
Since its invention in the early 1960s, the laser has been used as a tool for surgical, therapeutic, and diagnostic purposes. To achieve maximum effectiveness with the greatest margin of safety it is important to understand the mechanisms of light propagation through tissue and how that light affects living cells. Lasers with novel output characteristics for medical and military applications are too often implemented prior to proper evaluation with respect to tissue optical properties and human safety. Therefore, advances in computational models that describe light propagation and the cellular responses to laser exposure, without the use of animal models, are of considerable interest. Here, a physics-based laser-tissue interaction model was developed to predict the dynamic changes in the spatial and temporal temperature rise during laser exposure to biological tissues. Unlike conventional models, the new approach is grounded on the rigorous electromagnetic theory that accounts for wave interference, polarization, and nonlinearity in propagation using a Maxwell's equations-based technique.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pele / Terapia a Laser / Modelos Biológicos Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Comput Biol Med Ano de publicação: 2013 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pele / Terapia a Laser / Modelos Biológicos Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Comput Biol Med Ano de publicação: 2013 Tipo de documento: Article