PULSAR: A Matlab toolbox for parallel magnetic resonance imaging using array coils and multiple channel receivers

Ji, Jim; Son, Jong Bum; Rane, Swati

doi:10.1002/cmr.b.20081

Cited by 56 publications

(43 citation statements)

References 35 publications

(23 reference statements)

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“…10. The accelerated images were reconstructed with generalized auto-calibrating partially parallel acquisitions (GRAPPA) using the PULSAR toolbox [49]. In the reconstruction, 18 autocalibration signal (ACS) lines were used for each reduced rate.…”

Section: Resultsmentioning

confidence: 99%

Multichannel Double-Row Transmission Line Array for Human MR Imaging at Ultrahigh Fields

Yan

Pedersen

Wei

et al. 2015

IEEE Trans. Biomed. Eng.

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Objective In microstrip transmission line (MTL) transmit/receive (transceive) arrays used for ultrahigh field MRI, the array length is often constrained by the required resonant frequency, limiting the image coverage. The purpose of this study is to increase the imaging coverage and also improve its parallel imaging capability by utilizing a double-row design. Methods A 16-channel double-row MTL transceive array was designed, constructed, and tested for human head imaging at 7 T. Array elements between two rows were decoupled by using the induced current elimination or magnetic wall decoupling technique. In vivo human head images were acquired, and g-factor results were calculated to evaluate the performance of this double-row array. Results Testing results showed that all coil elements were well decoupled with a better than −18 dB transmission coefficient between any two elements. The double-row array improves the imaging quality of the lower portion of the human head, and has low g-factors even at high acceleration rates. Conclusion Compared with a regular single-row MTL array, the double-row array demonstrated a larger imaging coverage along the z-direction with improved parallel imaging capability. Significance The proposed technique is particularly suitable for the design of large-sized transceive arrays with large channel counts, which ultimately benefits the imaging performance in human MRI.

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Section: Resultsmentioning

confidence: 99%

Multichannel Double-Row Transmission Line Array for Human MR Imaging at Ultrahigh Fields

Yan

Pedersen

Wei

et al. 2015

IEEE Trans. Biomed. Eng.

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“…6 shows the original and rate-4 accelerated images of human head in the sagittal plane. The accelerated images were reconstructed with generalized auto calibrating partially parallel acquisitions (GRAPPA) using the PULSAR toolbox [23]. In the reconstruction, 32 auto-calibration signal (ACS) lines were used.…”

Section: Resultsmentioning

confidence: 99%

Hybrid Monopole/Loop Coil Array for Human Head MR Imaging at 7 T

et al. 2015

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The monopole coil and loop coil have orthogonal radiofrequency (RF) fields and thus are intrinsically decoupled electromagnetically if they are laid out appropriately. In this study, we proposed a hybrid monopole/loop technique which could combine the advantages of both loop arrays and monopole arrays. To investigate this technique, a hybrid RF coil array containing 4 monopole channels and 4 loop channels was developed for human head MR imaging at 7T. In vivo MR imaging and g-factor results using monopole-only channels, loop-only channels and all channels of the hybrid array were acquired and evaluated. Compared with the monopole-only and loop-only channels, the proposed hybrid array has higher SNR and better parallel imaging performance. Sufficient electromagnetic decoupling and diverse RF magnetic field (B1) distributions of monopole channels and loop channels may contribute to this performance improvement. From experimental results, the hybrid monopole/loop array has low g-factor and excellent SNR at both periphery and center of the brain, which is valuable for human head imaging at ultrahigh fields.

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“…SENSE and GRAPPA methods were then applied to reconstruct the images from the subsampled k-space images. The PULSAR toolbox [21] was used for the SENSE and GRAPPA reconstruction. The proposed denoising algorithm was then applied over all the 3 reconstructed magnitude images (i.e., SoS, SENSE and GRAPPA).…”

Section: Experiments and Resultsmentioning

confidence: 99%

Nonlocal maximum likelihood estimation method for denoising multiple-coil magnetic resonance images

Rajan¹,

Veraart²,

Audekerke³

et al. 2012

Magnetic Resonance Imaging

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PULSAR: A Matlab toolbox for parallel magnetic resonance imaging using array coils and multiple channel receivers

Cited by 56 publications

References 35 publications

Multichannel Double-Row Transmission Line Array for Human MR Imaging at Ultrahigh Fields

Multichannel Double-Row Transmission Line Array for Human MR Imaging at Ultrahigh Fields

Hybrid Monopole/Loop Coil Array for Human Head MR Imaging at 7 T

Nonlocal maximum likelihood estimation method for denoising multiple-coil magnetic resonance images

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