Matthias F. Mueller
University of Würzburg
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Featured researches published by Matthias F. Mueller.
Topics in Magnetic Resonance Imaging | 2004
Martin Blaimer; Felix A. Breuer; Matthias F. Mueller; Robin M. Heidemann; Mark A. Griswold; Peter M. Jakob
Fast imaging methods and the availability of required hardware for magnetic resonance tomography (MRT) have significantly reduced acquisition times from about an hour down to several minutes or seconds. With this development over the last 20 years, magnetic resonance imaging (MRI) has become one of the most important instruments in clinical diagnosis. In recent years, the greatest progress in further increasing imaging speed has been the development of parallel MRI (pMRI). Within the last 3 years, parallel imaging methods have become commercially available, and therefore are now available for a broad clinical use. The basic feature of pMRI is a scan time reduction, applicable to nearly any available MRI method, while maintaining the contrast behavior without requiring higher gradient system performance. Because of its faster image acquisition, pMRI can in some cases even significantly improve image quality. In the last 10 years of pMRI development, several different pMRI reconstruction methods have been set up which partially differ in their philosophy, in the mode of reconstruction as well in their advantages and drawbacks with regard to a successful image reconstruction. In this review, a brief overview is given on the advantages and disadvantages of present pMRI methods in clinical applications, and examples from different daily clinical applications are shown.
Magnetic Resonance in Medicine | 2005
Felix A. Breuer; Martin Blaimer; Robin M. Heidemann; Matthias F. Mueller; Mark A. Griswold; Peter M. Jakob
In all current parallel imaging techniques, aliasing artifacts resulting from an undersampled acquisition are removed by means of a specialized image reconstruction algorithm. In this study a new approach termed “controlled aliasing in parallel imaging results in higher acceleration” (CAIPIRINHA) is presented. This technique modifies the appearance of aliasing artifacts during the acquisition to improve the subsequent parallel image reconstruction procedure. This new parallel multi‐slice technique is more efficient compared to other multi‐slice parallel imaging concepts that use only a pure postprocessing approach. In this new approach, multiple slices of arbitrary thickness and distance are excited simultaneously with the use of multi‐band radiofrequency (RF) pulses similar to Hadamard pulses. These data are then undersampled, yielding superimposed slices that appear shifted with respect to each other. The shift of the aliased slices is controlled by modulating the phase of the individual slices in the multi‐band excitation pulse from echo to echo. We show that the reconstruction quality of the aliased slices is better using this shift. This may potentially allow one to use higher acceleration factors than are used in techniques without this excitation scheme. Additionally, slices that have essentially the same coil sensitivity profiles can be separated with this technique. Magn Reson Med 53:684–691, 2005.
Magnetic Resonance in Medicine | 2006
Felix A. Breuer; Martin Blaimer; Matthias F. Mueller; Nicole Seiberlich; Robin M. Heidemann; Mark A. Griswold; Peter M. Jakob
The CAIPIRINHA (Controlled Aliasing In Parallel Imaging Results IN Higher Acceleration) concept in parallel imaging has recently been introduced, which modifies the appearance of aliasing artifacts during data acquisition in order to improve the subsequent parallel imaging reconstruction procedure. This concept has been successfully applied to simultaneous multi‐slice imaging (MS CAIPIRINHA). In this work, we demonstrate that the concept of CAIPIRINHA can also be transferred to 3D imaging, where data reduction can be performed in two spatial dimensions simultaneously. In MS CAIPIRINHA, aliasing is controlled by providing individual slices with different phase cycles by means of alternating multi‐band radio frequency (RF) pulses. In contrast to MS CAIPIRINHA, 2D CAIPIRINHA does not require special RF pulses. Instead, aliasing in 2D parallel imaging can be controlled by modifying the phase encoding sampling strategy. This is done by shifting sampling positions from their normal positions in the undersampled 2D phase encoding scheme. Using this modified sampling strategy, coil sensitivity variations can be exploited more efficiently in multiple dimensions, resulting in a more robust parallel imaging reconstruction. Magn Reson Med, 2006.
Magnetic Resonance in Medicine | 2005
Mark A. Griswold; Martin Blaimer; Felix A. Breuer; Robin M. Heidemann; Matthias F. Mueller; Peter M. Jakob
In this article it is shown that GRAPPA reconstruction can be reformulated as a matrix operator, similar to ladder or propagator operators used in quantum mechanics, that shifts data in k‐space. Using this formalism, it is shown that there exists an infinitesimal GRAPPA operator that shifts data in k‐space by arbitrarily small amounts. Other desired k‐space shifts can then be accomplished through repeated applications of this infinitesimal GRAPPA operator. Implications of these ideas are described. Magn Reson Med, 2005.
Magnetic Resonance in Medicine | 2006
Martin Blaimer; Felix A. Breuer; Matthias F. Mueller; Nicole Seiberlich; Dmitry Ebel; Robin M. Heidemann; Mark A. Griswold; Peter M. Jakob
When using parallel MRI (pMRI) methods in combination with three‐dimensional (3D) imaging, it is beneficial to subsample the k‐space along both phase‐encoding directions because one can then take advantage of coil sensitivity variations along two spatial dimensions. This results in an improved reconstruction quality and therefore allows greater scan time reductions as compared to subsampling along one dimension. In this work we present a new approach based on the generalized autocalibrating partially parallel acquisitions (GRAPPA) technique that allows Fourier‐domain reconstructions of data sets that are subsampled along two dimensions. The method works by splitting the 2D reconstruction process into two separate 1D reconstructions. This approach is compared with an extension of the conventional GRAPPA method that directly regenerates missing data points of a 2D subsampled k‐space by performing a linear combination of acquired data points. In this paper we describe the theoretical background and present computer simulations and in vivo experiments. Magn Reson Med, 2006.
Journal of Magnetic Resonance Imaging | 2006
Martin Blaimer; Felix A. Breuer; Nicole Seiberlich; Matthias F. Mueller; Robin M. Heidemann; Vladimir Jellus; Graham C. Wiggins; Lawrence L. Wald; Mark A. Griswold; Peter M. Jakob
To combine the specific advantages of the generalized autocalibrating partially parallel acquisitions (GRAPPA) technique and sensitivity encoding (SENSE) with two‐dimensional (2D) undersampling.
Journal of Magnetic Resonance Imaging | 2009
Beatrice Sandner; Deepu R. Pillai; Robin M. Heidemann; Gerhard Schuierer; Matthias F. Mueller; Ulrich Bogdahn; Felix Schlachetzki; Norbert Weidner
To investigate the feasibility of obtaining high‐resolution MR images for the detection of pathological changes occurring in the injured rat spinal cord with a routine clinical 3.0T imaging system.
Journal of Magnetic Resonance Imaging | 2013
Sairamesh Raghuraman; Matthias F. Mueller; Štefan Zbýň; Peter Baer; Felix A. Breuer; Klaus M. Friedrich; Siegfried Trattnig; Titus Lanz; Peter M. Jakob
To develop a coil configuration for high‐resolution imaging of different regions of the hand and wrist at 7 T.
NMR in Biomedicine | 2006
Mark A. Griswold; Felix A. Breuer; Martin Blaimer; Stephan Kannengiesser; Robin M. Heidemann; Matthias F. Mueller; Mathias Nittka; Vladimir Jellus; Berthold Kiefer; Peter M. Jakob
Topics in Magnetic Resonance Imaging | 2004
Martin Blaimer; Felix A. Breuer; Matthias F. Mueller; Robin M. Heidemann; Mark A. Griswold; Peter M. Jakob