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      In vivo MRI with Concurrent Excitation and Acquisition using Automated Active Analog Cancellation

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          Abstract

          Magnetic resonance imaging (MRI) provides excellent cross-sectional images of the soft tissues in patients. Unfortunately, MRI is intrinsically slow, it exposes patients to severe acoustic noise levels, and is limited in the visualization of certain tissues such as bone. These limitations are partly caused by the timing structure of the MRI exam which first generates the MR signal by a strong radio-frequency excitation and later acquires the weak MRI signal. Concurrent excitation and acquisition (CEA) can overcome these limitations, but is extremely challenging due to the huge intensity difference between transmit and receive signal (up to 100 dB). To suppress the strong transmit signals during signal reception, a fully automated analog cancellation unit was designed. On a 3 Tesla clinical MRI system we achieved an on-resonance analog isolation of 90 dB between the transmit and receive path, so that CEA images of the head and the extremities could be acquired with an acquisition efficiency of higher than 90% at sound pressure levels close to background noise. CEA with analog cancellation might provide new opportunities for MRI in tissues with very short T 2 relaxation times, and it offers a silent and time-efficient MRI acquisition.

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          Experiment-driven Characterization of Full-Duplex Wireless Systems

          , , (2012)
          We present an experiment-based characterization of passive suppression and active self-interference cancellation mechanisms in full-duplex wireless communication systems. In particular, we consider passive suppression due to antenna separation at the same node, and active cancellation in analog and/or digital domain. First, we show that the average amount of cancellation increases for active cancellation techniques as the received self-interference power increases. Our characterization of the average cancellation as a function of the self-interference power allows us to show that for a constant signal-to-interference ratio at the receiver antenna (before any active cancellation is applied), the rate of a full-duplex link increases as the self-interference power increases. Second, we show that applying digital cancellation after analog cancellation can sometimes increase the self-interference, and thus digital cancellation is more effective when applied selectively based on measured suppression values. Third, we complete our study of the impact of self-interference cancellation mechanisms by characterizing the probability distribution of the self-interference channel before and after cancellation.
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            The Nuclear Induction Experiment

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              Selection of a convolution function for Fourier inversion using gridding [computerised tomography application].

              In the technique known as gridding, the data samples are weighted for sampling density and convolved with a finite kernel, then resampled on a grid preparatory to a fast Fourier transform. The authors compare the artifact introduced into the image for various convolving functions of different sizes, including the Kaiser-Bessel window and the zero-order prolate spheroidal wave function (PSWF). They also show a convolving function that improves upon the PSWF in some circumstances.
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                Author and article information

                Contributors
                ali.oezen@uniklinik-freiburg.de
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                13 July 2018
                13 July 2018
                2018
                : 8
                : 10631
                Affiliations
                [1 ]Department of Radiology, Medical Physics, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
                [2 ]ISNI 0000 0004 0492 0584, GRID grid.7497.d, German Cancer Consortium Partner Site Freiburg, , German Cancer Research Center (DKFZ), ; Heidelberg, Germany
                [3 ]ISNI 0000 0001 0723 2427, GRID grid.18376.3b, Department of Electrical and Electronics Engineering, , Bilkent University, ; Ankara, Turkey
                [4 ]ISNI 0000 0001 0075 5874, GRID grid.7892.4, Institute of Microstructure Technology, , Karlsruhe Institute of Technology, ; Karlsruhe, Germany
                Author information
                http://orcid.org/0000-0003-4354-7295
                http://orcid.org/0000-0001-9720-3506
                Article
                28894
                10.1038/s41598-018-28894-w
                6045667
                30006628
                95e0ad68-d944-4a0e-8e92-5aa13e2c287b
                © The Author(s) 2018

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 15 January 2018
                : 27 June 2018
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