Image reconstructions with the rotating RF coil

Trakic, Adnan; Wang, Hang; Weber, Ewald; Li, B.K.; Poole, Michael; F, Liu; Crozier, Stuart

doi:10.1016/j.jmr.2009.09.009

Cited by 18 publications

(34 citation statements)

References 34 publications

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“…In our previous works [10,11], the rotating coil was pneumatically driven to achieve up to 870 rpm for human head imaging with negligible acoustic noise, compared with noise generated by the gradient system. For animal imaging, the rotating speed can easily exceed 10,000 rpm.…”

Section: Rotating Speed and Acoustic Noisementioning

confidence: 99%

“…As an alternative method, we have introduced the rotating radiofrequency coil (RRFC) [10,11] and the rotating radiofrequency coil array (RRFCA) [12][13][14] to reduce scan duration by using SENSE-like reconstruction methods. Both rotating RF systems are capable of encoding k-space data with varying sensitivity profiles ( 1 B  ), which benefit the signal encoding process and reconstruction algorithms.…”

Section: Introductionmentioning

confidence: 99%

“…Both rotating RF systems are capable of encoding k-space data with varying sensitivity profiles ( 1 B  ), which benefit the signal encoding process and reconstruction algorithms. By adopting the time-division multiplexing sensitivity encoding (TDM-SENSE), the RRFC demonstrated a 2-fold scan time reduction for human brain imaging [11]. The RRFCA used a rotating-SENSE algorithm that featured time-varying sensitivity profiles for image reconstruction.…”

Section: Introductionmentioning

confidence: 99%

“…Since the rotating-SENSE algorithm needs sensitivity information for image reconstruction, in our previous studies [11,14], a small number of sensitivity maps acquired at several angular positions was numerically rotated to estimate sensitivity at other positions. This technique was used for human brain imaging at 2 Tesla [10,11] owing to the negligible coil-tissue interaction [15][16][17][18][19] (dielectric resonance [20][21][22][23][24]). …”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

In vivo sensitivity estimation and imaging acceleration with rotating RF coil arrays at 7 Tesla

Jin

Zuo

et al. 2015

Journal of Magnetic Resonance

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Using a new rotating SENSitivity Encoding (rotating-SENSE) algorithm, we have successfully demonstrated that the rotating radiofrequency coil array (RRFCA) is capable of achieving a significant reduction in scan time and a uniform image reconstruction for a homogeneous phantom at 7 Tesla. However, at 7 Tesla the in vivo with the same number of coil elements, the RRFCA was able to reconstruct good quality images at a high reduction factor. It is hoped that the proposed sensitivity estimation algorithm and the acceleration ability of the RRFCA will be particularly useful for ultra high field MRI.

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Section: Rotating Speed and Acoustic Noisementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

In vivo sensitivity estimation and imaging acceleration with rotating RF coil arrays at 7 Tesla

Jin

Zuo

et al. 2015

Journal of Magnetic Resonance

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“…The coil-load model, as shown in Fig.3, consists of a 3mm-resolution, realistic human model [5], and an unshielded single-loop Rotating RF Coil (RRFC) [9] operating at 470MHz. The coil parameters are: R=14.7cm, Length = 15cm, opening angle = 32 degrees and rotating speed=2000rpm.…”

Section: B Mri Application -B 1 -Shimmingmentioning

confidence: 99%

GPU accelerated FDTD solver and its application in MRI

Chi

Jin

et al. 2010

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology

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The finite difference time domain (FDTD) method is a popular technique for computational electromagnetics (CEM). The large computational power often required, however, has been a limiting factor for its applications. In this paper, we will present a graphics processing unit (GPU)-based parallel FDTD solver and its successful application to the investigation of a novel B1 shimming scheme for high-field magnetic resonance imaging (MRI). The optimized shimming scheme exhibits considerably improved transmit B(1) profiles. The GPU implementation dramatically shortened the runtime of FDTD simulation of electromagnetic field compared with its CPU counterpart. The acceleration in runtime has made such investigation possible, and will pave the way for other studies of large-scale computational electromagnetic problems in modern MRI which were previously impractical.

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Receiver Loop Arrays

Wright

2011

Encyclopedia of Magnetic Resonance

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Image reconstructions with the rotating RF coil

Cited by 18 publications

References 34 publications

In vivo sensitivity estimation and imaging acceleration with rotating RF coil arrays at 7 Tesla

In vivo sensitivity estimation and imaging acceleration with rotating RF coil arrays at 7 Tesla

GPU accelerated FDTD solver and its application in MRI

Receiver Loop Arrays

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