A 32-element loop/dipole hybrid array for human head imaging at 7 T

Nikolai I. Avdievich, Anton V. Nikulin, Loreen Ruhm, Arthur W. Magill, Felix Glang, Anke Henning, Klaus Scheffler

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: To improve whole-brain SNR at 7 Tesla, a novel 32-element hybrid human head array coil was developed, constructed, and tested. Methods: Our general design strategy is based on 2 major ideas: Firstly, following suggestions of previous works based on the ultimate intrinsic SNR theory, we combined loops and dipoles for improvement of SNR near the head center. Secondly, we minimized the total number of array elements by using a hybrid combination of transceive (TxRx) and receive (Rx) elements. The new hybrid array consisted of 8 folded-end TxRx-dipole antennas and 3 rows of 24 Rx-loops all placed in a single layer on the surface of a tight-fit helmet. Results: The developed array significantly improved SNR in vivo both near the center (∼20%) and at the periphery (∼20% to 80%) in comparison to a common commercial array coil with 8 transmit (Tx) and 32 Rx-elements. Whereas 24 loops alone delivered central SNR very similar to that of the commercial coil, the addition of complementary dipole structures provided further improvement. The new array also provided ∼15% higher Tx efficiency and better longitudinal coverage than that of the commercial array. Conclusion: The developed array coil demonstrated advantages in combining complementary TxRx and Rx resonant structures, that is, TxRx-dipoles and Rx-loops all placed in a single layer at the same distance to the head. This strategy improved both SNR and Tx-performance, as well as simplified the total head coil design, making it more robust.

Original languageEnglish (US)
JournalMagnetic resonance in medicine
DOIs
StateAccepted/In press - 2022

Keywords

  • central SNR enhancement
  • folded-end dipole
  • human head array
  • hybrid array coil
  • ultimate intrinsic SNR
  • ultrahigh field MRI

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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