Revised motion estimation algorithm for PROPELLER MRI

Pipe, James G.; Gibbs, Wende N.; Li, Zhiqiang; Karis, John P.; Schär, Michael; Zwart, Nicholas R.

doi:10.1002/mrm.24929

Cited by 39 publications

(45 citation statements)

References 7 publications

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“…Quiet PROPELLER uses a standard 2D modified radial sampling scheme with an acoustic noise model to optimize gradient waveforms. 23 The k-space trajectory and data sampling can be optimized so that gradient steps are smaller than those in conventional PROPELLER, resulting in a scan with noise levels Ͻ6 dBA above ambient levels.…”

Section: Discussionmentioning

confidence: 99%

Quiet PROPELLER MRI Techniques Match the Quality of Conventional PROPELLER Brain Imaging Techniques

Corcuera‐Solano

Doshi

Pawha

et al. 2015

AJNR Am J Neuroradiol

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BACKGROUND AND PURPOSE:Switching of magnetic field gradients is the primary source of acoustic noise in MR imaging. Sound pressure levels can run as high as 120 dB, capable of producing physical discomfort and at least temporary hearing loss, mandating hearing protection. New technology has made quieter techniques feasible, which range from as low as 80 dB to nearly silent. The purpose of this study was to evaluate the image quality of new commercially available quiet T2 and quiet FLAIR fast spin-echo PROPELLER acquisitions in comparison with equivalent conventional PROPELLER techniques in current day-to-day practice in imaging of the brain.

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Section: Discussionmentioning

confidence: 99%

Quiet PROPELLER MRI Techniques Match the Quality of Conventional PROPELLER Brain Imaging Techniques

Corcuera‐Solano

Doshi

Pawha

et al. 2015

AJNR Am J Neuroradiol

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“…In this paper as motion analysis core of SR technique a three degrees of freedom-based approach is adopted. Preliminary tests confirmed its usability in PROPELLER MRI [6]. This work goal is to reconstruct a High Resolution (HR) Magnetic Resonance image, from a Compressed Sensing (CS) k-space while keeping all the PROPELLER advantages.…”

Section: Introductionmentioning

confidence: 91%

“…In this background, one can approximate many structures as rigid bodies, with three degrees of freedom applied to the entire MRI volume in a time-varying manner. PROPELLER has been revealed to be quite effective in mitigating patient motion [6], but it is obviously not error-free.…”

Section: Introductionmentioning

confidence: 99%

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Semi-PROPELLER Compressed Sensing Image Reconstruction with Enhanced Resolution in MRI

Malczewski¹

2015

International Journal of Electronics and Telecommunications

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Abstract-Magnetic Resonance Imaging (MRI) reconstruction algorithm using semi-PROPELLER compressed sensing is presented in this paper. It is exhibited that introduced algorithm for estimating data shifts is feasible when super-resolution is applied. The offered approach utilizes compressively sensed MRI PROPELLER sequences and improves MR images spatial resolution in circumstances when highly undersampled k-space trajectories are applied. Compressed sensing (CS) aims at signal and images reconstructing from significantly fewer measurements than were traditionally thought necessary. It is shown that the presented approach improves MR spatial resolution in cases when Compressed Sensing (CS) sequences are used. The application of CS in medical modalities has the potential for significant scan time reductions, with visible benefits for patients and health care economics. These methods emphasize on maximizing image sparsity on known sparse transform domain and minimizing fidelity. This diagnostic modality struggles with an inherently slow data acquisition process. The use of CS to MRI leads to substantial scan time reductions [7] and visible benefits for patients and economic factors. In this report the objective is to combine Super-Resolution image enhancement algorithm with both PROPELLER sequence and CS framework. The motion estimation algorithm being a part of super resolution reconstruction (SRR) estimates shifts for all blades jointly, utilizing blade-pair correlations that are both strong and more robust to noise.

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“…Therefore, acquiring data with non-Cartesian trajectories under smoothly switched gradients have become the focus of intensive investigation by diverse groups of researchers in this field [3]. As signals from central part of the k-space determine the contrast and signal-to-noise ratio (SNR), the multi-strip central oversampling method, namely PROPELLER, is able to correct physiological and motion artifacts and therefore has been successfully applied in high-end MR equipments [4,5].…”

Section: Introductionmentioning

confidence: 99%

CUDA accelerated uniform re-sampling for non-Cartesian MR reconstruction

Feng

Zhao

2015

BME

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Abstract.A grid-driven gridding (GDG) method is proposed to uniformly re-sample non-Cartesian raw data acquired in PRO-PELLER, in which a trajectory window for each Cartesian grid is first computed. The intensity of the reconstructed image at this grid is the weighted average of raw data in this window. Taking consider of the single instruction multiple data (SIMD) property of the proposed GDG, a CUDA accelerated method is then proposed to improve the performance of the proposed GDG. Two groups of raw data sampled by PROPELLER in two resolutions are reconstructed by the proposed method. To balance computation resources of the GPU and obtain the best performance improvement, four thread-block strategies are adopted. Experimental results demonstrate that although the proposed GDG is more time consuming than traditional DDG, the CUDA accelerated GDG is almost 10 times faster than traditional DDG.

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Revised motion estimation algorithm for PROPELLER MRI

Abstract: The new algorithm compared favorably with the old in its ability to estimate bulk motion in a limited study of volunteer motion. A larger study of patients is planned for future work.

Cited by 39 publications

References 7 publications

Quiet PROPELLER MRI Techniques Match the Quality of Conventional PROPELLER Brain Imaging Techniques

Quiet PROPELLER MRI Techniques Match the Quality of Conventional PROPELLER Brain Imaging Techniques

Semi-PROPELLER Compressed Sensing Image Reconstruction with Enhanced Resolution in MRI

CUDA accelerated uniform re-sampling for non-Cartesian MR reconstruction

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