S Anzengruber et al 2008 J. Phys.: Conf. Ser. 135 012009 doi:10.1088/1742-6596/135/1/012009
S Anzengruber1, F Bauer2, A Leitão3 and R Ramlau1
Show affiliationsMagnetic Resonance Imaging with parallel data acquisition requires algorithms for reconstructing the patient's image from a small number of measured lines of the Fourier domain (k-space).
In contrast to well-known algorithms like SENSE and GRAPPA and its flavors we consider the problem as a non-linear inverse problem. However, in order to avoid cost intensive derivatives we will use Landweber-Kaczmarz iteration and in order to improve the overall results some additional sparsity constraints.
Issue 1 (2008)
S Anzengruber et al 2008 J. Phys.: Conf. Ser. 135 012009
Muhammad Mubashir Khan et al 2009 New J. Phys. 11 063043
Frank Bauer and Stefan Kindermann 2008 Inverse Problems 24 035002
Erik Pierstorff et al 2008 Nanotechnology 19 445104
Frank Bauer and Markus Reiß 2008 Inverse Problems 24 055009
Bo Zhou and Jun-Jie Zhu 2009 Nanotechnology 20 085604
G B Smith and A A Earp 2010 Nanotechnology 21 015203
R. O. Gray et al. 2003 The Astronomical Journal 126 2048
E-T Hwu et al 2009 Meas. Sci. Technol. 20 084005
Mohtashim H Shamsi and Kurt E Geckeler 2008 Nanotechnology 19 075604