Nexus Console#

Open-Source Python Framework for a Versatile Low-Field MRI Console#

Welcome to the documentation for the Nexus console—an open-source software framework for an advanced low-field MRI console. This console is driven by measurement cards from Spectrum-Instrumentation and is controlled by open-source software written in Python. It offers a cost-effective solution for advanced low-field imaging techniques involving additional sensor information, e.g. for EMI mitigation or B0-field tracking. Also it serves as a reconstruction system with enough power for deep-learning-based image optimization or model-based reconstruction. Successfully implemented and tested on a low-field MRI scanner, Nexus demonstrates real-time computed Pulseq sequences with high fidelity compared to measured waveforms. Explore the documentation to delve into the technical details and possibilities offered by the Spectrum-Console. The documentation provides insights, including quick-start guide, user guide, hands-on examples and the API reference.

Quick Start Guide

This guide provides a quick introduction and explains which requirements must be met, how the software can be installed and what an example program looks like.

To the quick start guide

Examples

Examples that show how the package is used. A prerequisite is a successful installation.

To the examples

User Guide

The key concept guide contains general information about the package components and their functionality. The concept guide contains more general information independent of the implementation.

To the concepts

API Reference

The API reference guide contains a detailed description of the Spectrum-Console API. The reference describes how the methods work and which parameters can be used. It assumes that you have an understanding of the key concepts.

To the reference

The console has been presented at ISMRM 2024 in Singapore:

Schote D, Silemek B, Seifert F, et al. Beyond Boundaries – A versatile Console ­for Advanced Low-Field MRI. In: Proc. Intl. Soc. Mag. Reson. Med. Vol 33. Singapore; 2024.

The project can also be found on opensourceimaging.org.

Content Overview#