Superconducting receiver arrays for magnetic resonance imaging

TL;DR

This paper explores the design and optimization of superconducting SQUID-based sensor arrays for MRI, analyzing how various parameters influence signal quality and noise, and providing tools for improved imaging performance.

Contribution

It offers a comprehensive analysis of design parameters affecting SQUID-based MRI sensors, including noise sources and array configurations, with practical guidelines for optimizing image quality.

Findings

Optimal sensor array configurations improve signal detection.

Noise mechanisms significantly impact image quality.

Design tools assist in making informed sensor design decisions.

Abstract

Superconducting QUantum-Interference Devices (SQUIDs) make magnetic resonance imaging (MRI) possible in ultra-low microtesla-range magnetic fields. In this work, we investigate the design parameters affecting the signal and noise performance of SQUID-based sensors and multichannel magnetometers for MRI of the brain. Besides sensor intrinsics, various noise sources along with the size, geometry and number of superconducting detector coils are important factors affecting the image quality. We derive figures of merit based on optimal combination of multichannel data, analyze different sensor array designs, and provide tools for understanding the signal detection and the different noise mechanisms. The work forms a guide to making design decisions for both imagingand sensor-oriented readers.