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A hardware and software system for MRI applications requiring external device data.

Karyna Isaieva¹, Marc Fauvel², Nicolas Weber¹

¹IADI, Université de Lorraine, INSERM U1254, Nancy, France.

Magnetic Resonance in Medicine

|May 4, 2022

Summary

This study introduces a novel hardware and software system for real-time data acquisition from external devices during Magnetic Resonance Imaging (MRI). The system enables synchronized online or offline MRI data analysis, improving flexibility and accuracy in various imaging applications.

Keywords:

hardware physiological data real-time signal processing software

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Area of Science:

Medical Imaging
Biomedical Engineering
Signal Processing

Background:

Magnetic Resonance Imaging (MRI) applications often necessitate integrating data from external devices.
Synchronizing external device data with MRI data is typically challenging, time-consuming, and restricted to offline analysis.

Purpose of the Study:

To develop and validate a versatile hardware and software system for acquiring external device data during MR imaging.
To enable real-time (online) and offline synchronization of external data with MRI data.

Main Methods:

A client-server architecture system was designed, integrating diverse external devices (ECG, respiration sensors, microphone) via a USB hub.
Custom communication protocols and data formats were established for seamless data transfer to open-source reconstruction software (Gadgetron).
System performance was assessed based on signal accuracy and real-time processing delays.

Main Results:

The developed system demonstrated low delays and jitters (approx. 1 ms) for real-time processing.
Successful applications included prospectively gated cardiac cine imaging and multi-modal vocal tract imaging (image, sound, respiration).
Online image reconstruction with nonrigid motion correction was achieved using external physiological data.

Conclusions:

The proposed system offers high performance and a flexible architecture for MRI applications.
It is well-suited for scenarios requiring synchronized online or offline use of external device data.