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Dynamic parallel imaging at 9.4 T using reconfigurable receive coaxial dipoles.

Authors :
Solomakha, Georgiy A.
Glang, Felix
Bosch, Dario
Steffen, Theodor
Scheffler, Klaus
Avdievich, Nikolai I.
Source :
NMR in Biomedicine; Jun2024, Vol. 37 Issue 6, p1-15, 15p
Publication Year :
2024

Abstract

Parallel imaging is one of the key MRI technologies that allow reduction of image acquisition time. However, the parallel imaging reconstruction commonly leads to a signal‐to‐noise ratio (SNR) drop evaluated using a so‐called geometrical factor (g‐factor). The g‐factor is minimized by increasing the number of array elements and their spatial diversity. At the same time, increasing the element count requires a decrease in their size. This may lead to insufficient coil loading, an increase in the relative noise contribution from the RF coil itself, and hence SNR reduction. Previously, instead of increasing the channel number, we introduced the concept of electronically switchable time‐varying sensitivities, which was shown to improve parallel imaging performance. In this approach, each reconfigurable receive element supports two spatially distinct sensitivity profiles. In this work, we developed and evaluated a novel eight‐element human head receive‐only reconfigurable coaxial dipole array for human head imaging at 9.4 T. In contrast to the previously reported reconfigurable dipole array, the new design does not include direct current (DC) control wires connected directly to the dipoles. The coaxial cable itself is used to deliver DC voltage to the PIN diodes located at the ends of the antennas. Thus, the novel reconfigurable coaxial dipole design opens a way to scale the dynamic parallel imaging up to a realistic number of channels, that is, 32 and above. The novel array was optimized and tested experimentally, including in vivo studies. It was found that dynamic sensitivity switching provided an 8% lower mean and 33% lower maximum g‐factor (for Ry × Rz = 2 × 2 acceleration) compared with conventional static sensitivities. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09523480
Volume :
37
Issue :
6
Database :
Complementary Index
Journal :
NMR in Biomedicine
Publication Type :
Academic Journal
Accession number :
177113470
Full Text :
https://doi.org/10.1002/nbm.5118