Encapsulation of VEGF165 into magnetic PLGA nanocapsules for potential local delivery and bioactivity in human brain endothelial cells.

Angiogenesis is an important repairing mechanism in response to ischemia. The administration of pro-angiogenic proteins is an attractive therapeutic strategy to enhance angiogenesis after an ischemic event. Their labile structures and short circulation times in vivo are the main obstacles that reduce the bioactivity and dosage of such proteins at the target site. We report on poly(d,l-lactic-co-glycolic acid) (PLGA) nanocapsules (diameter < 200 nm) containing bioactive vascular endothelial growth factor-165 (VEGF165) in the inner core and superparamagnetic iron oxide nanoparticles (SPIONs) embedded in the polymeric shell. The system showed good encapsulation efficiencies for both VEGF165 and SPIONs and a sustained protein release over 14 days. In vitro studies confirmed protein bioactivity in the form of significantly increased proliferation in human microvascular brain endothelial cell cultures once the protein was released. Through magnetic resonance imaging (MRI) measurements we demonstrated excellent T2 contrast image properties with r2 values as high as 213 mM-1 s-1. In addition, magnetic VEGF165-loaded PLGA nanocapsules could be displaced and accumulated under an external magnetic field for guiding and retention purposes. We therefore suggest that using VEGF165-loaded magnetic PLGA nanocapsules may become a new targeted protein-delivery strategy in the development of future pro-angiogenic treatments, as for instance those directed to neurorepair after an ischemic event.

Advanced methods for perfusion analysis in echocardiography.

It has been shown that besides positron emission tomography, single photon emission computed tomography and magnetic resonance imaging; contrast echocardiography can be used for qualitative and quantitative myocardial perfusion assessment. In this review, the properties of ultrasound contrast agents, imaging techniques and acquisition methods are shortly described and the possibilities of perfusion echocardiography are summarized. The main focus is put on the description of three perfusion models: mathematical models, physical models assuming an ideal inflow and physical models including inflow measurement.

3D simulation of diffraction in ultrasonic computed tomography.

The contribution presents further results in developing the exact means for simulating the realistic situation in the USCT (ultrasonic computed tomography) imaging system, aiming both at evaluating the approximations used in the existing USCT image reconstruction methods as to their precision and also (in a longer perspective) at iterative improvement of the obtained images via continuum mechanics based feedback. The mathematical models, generalised in comparison with [1], emerging from the transparent physical background, are presented for inhomogeneous media incorporating both the object tissue and the surrounding fluid. The equations are already general enough to employ complex nonlinear phenomena in three-dimensional space; and linearised 3D simulations (giving rise to wave equation, WE) have been performed enabling first conclusions on the feasibility of this approach with respect to the available computing resources. Some of the results of the numerical solution of the WE in 3D by means of the finite-element method show in local detail the diffraction phenomena on acoustic-impedance inhomogeneities. The spatial extent of the simulations is basically limited only by the available computing resources. The hardware requirements and related practical limitations are mentioned together with a few examples of presently available results. Together with conclusions, further perspectives of this branch of the USCT research are suggested.

Simulation checks in ultrasonic computed tomography.

The contribution presents some results obtained on the way to checking (and partly complementing) the standard reconstruction procedures in USCT by wave-equation based simulations. Mathematical models emerging from the transparent physical background for both the surrounding fluid and the object tissue are presented, followed by the present results of developing a realistic original finite-element-method based simulation. With respect to the need of comparison with the calibration measurements, a preliminary optimization of initial guesses to boundary conditions at the transducer array is discussed, based on a point-source model. The computational requirements of the procedures are also mentioned together with concrete examples of achieved results.

Estimation of ultrasound attenuation coefficient using log-spectrum domain processing.

Ultrasound attenuation coefficient is an important diagnostic parameter in medical ultrasonography. Furthermore, it is a parameter of a component related to the attenuation process of the space-variant point spread function, which can be used to improve the spatial resolution of ultrasound images through deconvolution. A recently published approach to the estimation of the ultrasound attenuation coefficient from B-scan radiofrequency data is extended and explained in a detail. First, a parametric image of the mean attenuation coefficients between the probe and a given pixel position is computed by applying linear regression to log-spectra of short segments of radiofrequency signals. Three methods of forming the parametric image are presented. As a second step, the local tissue-specific attenuation coefficients are estimated in small regions of the obtained parametric image. The method has been tested on synthetic radiofrequency data and on radiofrequency data recorded from a tissue-mimicking phantom. A fairly good correlation with the known reference values was achieved.