<![CDATA[ Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on - new TOC ]]>
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TOC Alert for Publication# 58 2014September29<![CDATA[IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control - Cover]]>6110c1c24647<![CDATA[IEEE Ultrasonics, Ferroelectrics, and Frequency Control Society - Administrative Committee]]>6110c3c3444<![CDATA[IEEE Ultrasonics, Ferroelectrics, and Frequency Control Society - Elected Administrative Committee]]>6110c4c4373<![CDATA[Table of contents]]>6110iii396<![CDATA[Information for contributors with multimedia addition]]>611015891592280<![CDATA[Domain-orientation-controlled potassium niobate family piezoelectric materials with hydrothermal powders]]>3 (PZT) because of their good piezoelectric properties, high Curie temperature, and so on. In particular, single-crystal potassium niobate is a promising ferroelectric material as a surface acoustic substrate and for functional optical effects. It is, however, well known that single crystals are difficult to fabricate because of the instability caused by temperature, external stress, and other factors.]]>6110159315987525<![CDATA[A transverse oscillation approach for estimation of three-dimensional velocity vectors, Part I: concept and simulation study]]>x and v_{y} depends on the flow angle ?? and ranges from 5% to 31% relative to the peak velocity magnitude of 1 m/s. For comparison, the range is 0.4 to 2% for v_{z}. The parameter study also reveals, that the velocity estimation breaks down with an SNR between -6 and -3 dB. In terms of computational load, the estimation of the three velocity components requires 0.75 billion floating point operations per second (0.75 Gflops) for a realistic setup. This is well within the capability of modern scanners.]]>6110159916072706<![CDATA[A transverse oscillation approach for estimation of three-dimensional velocity vectors, Part II: experimental validation]]>6110160816182918<![CDATA[Removal of residual nuclei following a cavitation event using low-amplitude ultrasound]]>6110161916261168<![CDATA[Bayesian approximation error approach in full-wave ultrasound tomography]]>6110162716372705<![CDATA[Comparison of 3-D synthetic aperture phased-array ultrasound imaging and parallel beamforming]]>6110163816505795<![CDATA[Statistical analysis of shear wave speed in the uterine cervix]]>6110165116601382<![CDATA[Targeted microbubble mediated sonoporation of endothelial cells in vivo]]>v??_{3}-targeted microbubbles attached to the vessel wall of the chicken embryo were insonified at 1 MHz at 150 kPa (1 ?? 10 000 cycles) and at 200 kPa (1 ?? 1000 cycles) peak negative acoustic pressure. Sonoporation was studied by intravital microscopy using the model drug propidium iodide (PI). Endothelial cell PI uptake was observed in 48% of microbubble-vessel-wall complexes at 150 kPa (n = 140) and in 33% at 200 kPa (n = 140). Efficiency of PI uptake depended on the local targeted microbubble concentration and increased up to 80% for clusters of 10 to 16 targeted microbubbles. Ultrasound or targeted microbubbles alone did not induce PI uptake. This intravital microscopy study reveals that sonoporation can be visualized and induced in vivo using targeted microbubbles.]]>6110166116674617<![CDATA[Acoustic characterization of contrast-to-tissue ratio and axial resolution for dual-frequency contrast-specific acoustic angiography imaging]]>61101668168718327<![CDATA[The iterative adaptive approach in medical ultrasound imaging]]>6110168816976828<![CDATA[A new active cavitation mapping technique for pulsed HIFU applications-bubble doppler]]>6110169817083695<![CDATA[Smart cymbal transducers with nitinol end caps tunable to multiple operating frequencies]]>6110170917192559<![CDATA[Opportunities for shear energy scaling in bulk acoustic wave resonators]]>2O_{5}/ SiO_{2} stacks showing suppression of the spurious modes.]]>6110172017284138<![CDATA[An efficient approach to computing third- order scattering of sound by sound with application to parametric arrays]]>6110172917412364<![CDATA[Automatic optimal input command for linearization of cMUT output by a temporal target]]>6110174217532019<![CDATA[In vivo real-time 3-D intracardiac echo using PMUT arrays]]>61101754176420120