parallel transmit
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Author(s):  
Felipe Godinez ◽  
Raphael Tomi-Tricot ◽  
Bruno A J Quesson ◽  
Matthias Barthel ◽  
Gunthard Lykowsky ◽  
...  

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0254378
Author(s):  
Sandra Da Costa ◽  
Jérémie Clément ◽  
Rolf Gruetter ◽  
Özlem Ipek

Purpose The aim of the present study is to show a MR procedure for the evaluation of simultaneous left and right auditory functions with functional MRI, and high-resolution acquisition of anatomical auditory pathway using parallel-transmit (pTx) methods at 7T. Methods The time-efficient MR acquisition included two steps: RF weights were optimized for the regions-of-interest and high-resolution MR images of the inner-ear were acquired for the first 30 min (400 μm-iso resolution) followed by functional MRI acquisitions along the whole auditory pathway during the next 20 minutes. Data was processed with a linear cross-correlation analysis to define frequency preferences for each voxel in the auditory relays. Results Tonotopic maps revealed ordered bilateral frequency gradients in the auditory relays whereas at the level of the cochlear nuclei and superior olivary complexes the frequency gradients were less evident. A 21% increase in transmit-field efficiency was achieved over the left/right inner-ear regions and thus its main structures were clearly discernible using the pTx methods, compared to a single transmit RF coil. Conclusion Using 7T pTx allows a fast (less than 60 min in total) and qualitative evaluation of the simultaneous left and right auditory response along the entire auditory pathway, together with high-resolution anatomical images of the inner-ear. This could be further used for patient examination at 7T.


2021 ◽  
Vol 9 ◽  
Author(s):  
Sydney N. Williams ◽  
Sarah Allwood-Spiers ◽  
Paul McElhinney ◽  
Gavin Paterson ◽  
Jürgen Herrler ◽  
...  

Purpose: Parallel transmit technology for MRI at 7 tesla will significantly benefit from high performance transmit arrays that offer high transmit efficiency and low mutual coupling between the individual array elements. A novel dual-mode transmit array with nested array elements has been developed to support imaging the human brain in both the single-channel (sTx) and parallel-transmit (pTx) excitation modes of a 7 tesla MRI scanner. In this work, the design, implementation, validation, specific absorption rate (SAR) management, and performance of the head coil is presented.Methods: The transmit array consisted of a nested arrangement to improve decoupling between the second-neighboring elements. Two large cut-outs were introduced in the RF shield for an open-face design to reduce claustrophobia and to allow patient monitoring. A hardware interface allows the coil to be used in both the sTx and pTx modes. SAR monitoring is done with virtual observation points (VOP) derived from human body models. The transmit efficiency and coverage is compared with the commercial single-channel and parallel-transmit head coils.Results: Decoupling inductors between the second-neighboring coil elements reduced the coupling to less than −20 dB. Local SAR estimates from the electromagnetic (EM) simulations were always less than the EM-based VOPs, which in turn were always less than scanner predictions and measurements for static and dynamic pTx waveforms. In sTx mode, we demonstrate improved coverage of the brain compared to the commercial sTx coil. The transmit efficiency is within 10% of the commercial pTx coil despite the two large cut-outs in the RF shield. In pTx mode, improved signal homogeneity was shown when the Universal Pulse was used for acquisition in vivo.Conclusion: A novel head coil which includes a nested eight-channel transmit array has been presented. The large cut-outs improve patient monitoring and reduce claustrophobia. For pTx mode, the EM simulation and VOP-based SAR management provided greater flexibility to apply pTx methods without the limitations of SAR constraints. For scanning in vivo, the coil was shown to provide an improved coverage in sTx mode compared to a standard commercial head coil.


Author(s):  
Felipe Godinez ◽  
Raphael Tomi‐Tricot ◽  
Marylène Delcey ◽  
Steven E. Williams ◽  
Ronald Mooiweer ◽  
...  

Author(s):  
Ole Geldschläger ◽  
Dario Bosch ◽  
Steffen Glaser ◽  
Anke Henning

2021 ◽  
Vol 11 (13) ◽  
pp. 5795
Author(s):  
Christoph Risser ◽  
Holger Hewener ◽  
Marc Fournelle ◽  
Heinrich Fonfara ◽  
Selina Barry-Hummel ◽  
...  

Volumetric ultrasound imaging is of great importance in many medical fields, especially in cardiology, but also in therapy monitoring applications. For development of new imaging technologies and scanning strategies, it is crucial to be able to use a hardware platform that is as free and flexible as possible and does not restrict the user in his research in any way. For this purpose, multi-channel ultrasound systems are particularly suitable, as they are able to control each individual element of a matrix array without the use of a multiplexer. We set out to develop a fully integrated, compact 1024-channel ultrasound system that provides full access to all transmission parameters and all digitized raw data of each transducer element. For this purpose, we synchronize four research scanners of our latest “DiPhAS” ultrasound research system generation, each with 256 parallel channels, all connected to a single PC on whose GPUs the entire signal processing is performed. All components of the system are housed in a compact, movable 19-inch rack. The system is designed as a general-purpose platform for research in volumetric imaging; however, the first-use case will be therapy monitoring by tracking radiation-sensitive ultrasound contrast agents.


2021 ◽  
Author(s):  
Mehran Shams Kondori

Recent advances in ultra-high field magnetic resonance imaging have addressed substantial technological challenges in both hardware and software. These challenges, including transmit field inhomogeneity, primarily are due to the onset of far-field effects at the resonance frequencies at 7Tesla and 10.5Tesla MRI which becomes more demanding at higher field strengths. The advent of parallel imaging techniques in reception (multi-channel radio-frequency arrays), transmission (parallel transmit or pTx), and reconstruction (especially using deep learning models) has been an effort to address such challenges. Here, the most recent notable advances in MRI in both hardware and software fronts and their implications for human brain neuroscience applications are reviewed.


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