Brno University of Technology

About: Brno University of Technology is a education organization based out in Brno, Czechia. It is known for research contribution in the topics: Computer science & Fracture mechanics. The organization has 6339 authors who have published 15226 publications receiving 194088 citations. The organization is also known as: Vysoké učení technické v Brně & BUT.

Superresolution of ultrasound images using the first and second harmonic signal

Abstract: This paper presents a new method of blind two-dimensional (2-D) homomorphic deconvolution and speckle reduction applied to medical ultrasound images. The deconvolution technique is based on an improved 2-D phase unwrapping scheme for pulse estimation. The input images are decomposed into minimum-phase and allpass components. The 2-D phase unwrapping is applied only to the allpass component. The 2-D phase of the minimum-phase component is derived by a Hilbert transform. The accuracy of 2-D phase unwrapping is also improved by processing small (16/spl times/16 pixels) overlapping subimages separately. This takes the spatial variance of the ultrasound pulse into account. The deconvolution algorithm is applied separately to the first and second harmonic images, producing much sharper images of approximately the same resolution and different speckle patterns. Speckle reduction is made by adding the envelope images of the deconvolved first and second harmonic images. Neither the spatial resolution nor the frame rate decreases, as the common compounding speckle reduction techniques do. The method is tested on sequences of clinical ultrasound images, resulting in high-resolution ultrasound images with reduced speckle noise.

Comparative study of plasmonic antennas fabricated by electron beam and focused ion beam lithography.

Abstract: We present a comparative study of plasmonic antennas fabricated by electron beam lithography and direct focused ion beam milling. We have investigated optical and structural properties and chemical composition of gold disc-shaped plasmonic antennas on a silicon nitride membrane fabricated by both methods to identify their advantages and disadvantages. Plasmonic antennas were characterized using transmission electron microscopy including electron energy loss spectroscopy and energy dispersive X-ray spectroscopy, and atomic force microscopy. We have found stronger plasmonic response with better field confinement in the antennas fabricated by electron beam lithography, which is attributed to their better structural quality, homogeneous thickness, and only moderate contamination mostly of organic nature. Plasmonic antennas fabricated by focused ion beam lithography feature weaker plasmonic response, lower structural quality with pronounced thickness fluctuations, and strong contamination, both organic and inorganic, including implanted ions from the focused beam. While both techniques are suitable for the fabrication of plasmonic antennas, electron beam lithography shall be prioritized over focused ion beam lithography due to better quality and performance of its products.

A conventional value for the geoid reference potential $$W_{0}$$

Abstract: $$W_{0}$$ is defined as the potential value of a particular level surface of the Earth’s gravity field called the geoid. Since the most accepted definition of the geoid is understood to be the equipotential surface that coincides with the worldwide mean ocean surface, a usual approximation of $$W_{0}$$ is the averaged potential value $$W_{\mathrm{S}}$$ at the mean sea surface. In this way, the value of $$W_{0}$$ depends not only on the Earth’s gravity field modelling, but also on the conventions defining the mean sea surface. $$W_{0}$$ computations performed since 2005 demonstrate that current published estimations differ by up to $$-2.6~\hbox {m}^{2}~\hbox {s}^{-2}$$ (corresponding to a level difference of about 27 cm), which could be caused by the differences in the treatment of the input data. The main objective of this study is to perform a new $$W_{0}$$ estimation relying on the newest gravity field and sea surface models and applying standardised data and procedures. This also includes a detailed description of the processing procedure to ensure the reproducibility of the results. The following aspects are analysed in this paper: (1) sensitivity of the $$W_{0}$$ estimation to the Earth’s gravity field model (especially omission and commission errors and time-dependent Earth’s gravity field changes); (2) sensitivity of the $$W_{0}$$ estimation to the mean sea surface model (e.g., geographical coverage, time-dependent sea surface variations, accuracy of the mean sea surface heights); (3) dependence of the $$W_{0}$$ empirical estimation on the tide system; and (4) weighted computation of the $$W_{0}$$ value based on the input data quality. Main conclusions indicate that the satellite-only component $$(n = 200)$$ of a static (quasi-stationary) global gravity model is sufficient for the computation of $$W_{0}$$ . This model should, however, be based on a combination of, at least, satellite laser ranging (SLR), GRACE and GOCE data. The mean sea surface modelling should be based on mean sea surface heights referring to a certain epoch and derived from a standardised multi-mission cross-calibration of several satellite altimeters. We suggest that the uncertainties caused by geographically correlated errors, including shallow waters in coastal areas and sea water ice content at polar regions should be considered in the computation of $$W_{0}$$ by means of a weighed adjustment using the inverse of the input data variances as a weighting factor. This weighting factor should also include the improvement provided by SLR, GRACE and GOCE to the gravity field modelling. As a reference parameter, $$W_{0}$$ should be time-independent (i.e., quasi-stationary) and it should remain fixed for a long-term period (e.g., 20 years). However, it should have a clear relationship with the mean sea surface level (as this is the convention for the realisation of the geoid). According to this, a suitable recommendation is to adopt a potential value obtained for a certain epoch as the reference value $$W_{0}$$ and to monitor the changes of the mean potential value at the sea surface $$W_{\mathrm{S}}$$ . When large differences appear between $$W_{0}$$ and $$W_{\mathrm{S}}$$ (e.g., $${>}\pm 2$$ m $$^{2}$$ s $$^{-2})$$ , the adopted $$W_{0}$$ may be replaced by an updated (best estimate) value. In this paper, the potential value obtained for the epoch 2010.0 (62,636,853.4 m $$^{2}$$ s $$^{-2})$$ is recommended as the present best estimate for the $$W_{0}$$ value. It differs $$-2.6~\hbox {m}^{2}~\hbox {s}^{-2}$$ from the so-called IERS $$W_{0}$$ value (62,636,856.0 m $$^{2}$$ s $$^{-2})$$ , which corresponds to the best estimate available in 1998.