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      Parallel imaging in non-bijective, curvilinear magnetic field gradients: a concept study

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          Abstract

          Objectives

          The paper presents a novel and more generalized concept for spatial encoding by non-unidirectional, non- bijective spatial encoding magnetic fields (SEMs). In combination with parallel local receiver coils these fields allow one to overcome the current limitations of neuronal nerve stimulation. Additionally the geometry of such fields can be adapted to anatomy.

          Materials and methods

          As an example of such a parallel imaging technique using localized gradients (PatLoc)- system, we present a polar gradient system consisting of 2 × 8 rectangular current loops in octagonal arrangement, which generates a radial magnetic field gradient. By inverting the direction of current in alternating loops, a near sinusoidal field variation in the circumferential direction is produced. Ambiguities in spatial assignment are resolved by use of multiple receiver coils and parallel reconstruction. Simulations demonstrate the potential advantages and limitations of this approach.

          Results and conclusions

          The exact behaviour of PatLoc fields with respect to peripheral nerve stimulation needs to be tested in practice. Based on geometrical considerations SEMs of radial geometry allow for about three times faster gradient switching compared to conventional head gradient inserts and even more compared to whole body gradients. The strong nonlinear geometry of the fields needs to be considered for practical applications.

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          Most cited references22

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          SENSE: Sensitivity encoding for fast MRI

          New theoretical and practical concepts are presented for considerably enhancing the performance of magnetic resonance imaging (MRI) by means of arrays of multiple receiver coils. Sensitivity encoding (SENSE) is based on the fact that receiver sensitivity generally has an encoding effect complementary to Fourier preparation by linear field gradients. Thus, by using multiple receiver coils in parallel scan time in Fourier imaging can be considerably reduced. The problem of image reconstruction from sensitivity encoded data is formulated in a general fashion and solved for arbitrary coil configurations and k-space sampling patterns. Special attention is given to the currently most practical case, namely, sampling a common Cartesian grid with reduced density. For this case the feasibility of the proposed methods was verified both in vitro and in vivo. Scan time was reduced to one-half using a two-coil array in brain imaging. With an array of five coils double-oblique heart images were obtained in one-third of conventional scan time. Magn Reson Med 42:952-962, 1999. Copyright 1999 Wiley-Liss, Inc.
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            Gradient coil design: a review of methods.

            R. Turner (1993)
            Methods of coil design for MRI gradient coils and other purposes are discussed. The conflicting requirements for satisfactory gradient coil performance are described and analyzed. Design methods are classified into discrete wire techniques and current density techniques. The advantages and disadvantages of each group of methods are described, and optimization methods are summarized. These include the target field approach, and constrained inductance and power minimization. Design for low fringe fields is described, including active shielding.
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              A target field approach to optimal coil design

              R. Turner (1986)
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                Author and article information

                Contributors
                juergen.hennig@uniklinik-freiburg.de
                Journal
                MAGMA
                Magma (New York, N.y.)
                Springer-Verlag (Berlin/Heidelberg )
                0968-5243
                1352-8661
                26 February 2008
                March 2008
                : 21
                : 1-2
                : 5-14
                Affiliations
                [1 ]Department of Diagnostic Radiology, Medical Physics, University Hospital, Hugstetterstr.55, 79106 Freiburg, Germany
                [2 ]Department of Microsystem Engineering, Laboratory for Simulation, Freiburg, Germany
                [3 ]Faculty for Natural Sciences, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
                Article
                105
                10.1007/s10334-008-0105-7
                2798019
                18299913
                11970d9b-d91e-426f-920e-8b4d6646a0b0
                © ESMRMB 2008
                History
                : 8 October 2007
                : 1 February 2008
                : 4 February 2008
                Categories
                Research Article
                Custom metadata
                © ESMRMB 2008

                Radiology & Imaging
                nonlinear high field,rapid imaging,image reconstruction,gradients
                Radiology & Imaging
                nonlinear high field, rapid imaging, image reconstruction, gradients

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