Permeability of tumor vasculature can be a major barrier to successful drug delivery, particularly for high molecular weight agents such as monoclonal antibodies and their diagnostic or therapeutic conjugates. In this study, changes in permeability of SCCVII tumor vessels after radiation treatment were evaluated by dynamic magnetic resonance imaging as a function of time after irradiation using...

Artificially engineered multiphase heterostructures with high permittivity, high permeability and low dielectric and magnetic losses are desired for microwave applications. In addition, the direct conversion of electrical (and/or magnetic) energy to mechanical work through a material response is important for many practical applications. Thus, there is a need for sensitive and quantifiable tech...

This paper presents a method for inverting ground penetrating radargrams in terms of one-dimensional profiles. We resort to a special type of linearization of the damped E-field wave equation to solve the inverse problem. The numerical algorithm for the inversion is iterative and requires the solution of several forward problems, which we evaluate using the matrix propagation approach. Analytic...

BACKGROUND AND PURPOSE Increased blood-brain barrier (BBB) permeability occurs in cerebral small vessel disease. It is not known if BBB changes predate progression of small vessel disease. METHODS We followed-up patients with nondisabling lacunar or cortical stroke and BBB permeability magnetic resonance imaging after their original stroke. Approximately 3 years later, we assessed functional ...

We derive the effective permeability and permittivity of a nanostructured metallic photonic crystal by analysing the complex reflection and transmission coefficients for slabs of various thicknesses. These quantities were calculated using the transfer matrix method. Our results indicate that these structures could be used to realize a negative effective permeability, at least up to infrared fre...

Three-Dimensional electromagnetic numerical modelling is used in inversion problems, commonly for determining the distribution of electrical parameters such as conductivity or permeability. This type of problems is a non-linear and ill-conditioned problem needs two phase resolutions: the forward and the inverse phase. In this paper we describe a numerical approach to image the electrical permea...