# A Smart Assistant for MRI Technologists

> **NIH NIH R41** · BIOPAC SYSTEMS, INC. · 2021 · $256,015

## Abstract

Abstract
Magnetic resonance imaging (MRI) is critically important for pediatric care and the unusable data caused by
patient motion has been estimated to cost $1.4B per year in the United States alone. Currently, a radiologist
assesses if the images are satisfactory or not, but an MRI technologist does the imaging, and coordination of
communication between the two is costly and slow. We propose to develop a device that monitors motion
during an MRI scan without creating an MRI artifact or posing a burden to the subject. We propose to develop
and assess a device based on MRI compatible MEMS technology that will measure motion and allow an MRI
technologist to intervene to improve image quality by reminding the subject to hold still, and to assess the final
image quality associated with the imaging data acquired. This will save valuable imaging time and reduce
costs by improving the rate of diagnostic quality images, and save time by assisting the MR technologist to
decide if the images are sufficient or if they need to be repeated. In this Phase I study, we will develop and
validate an MRI compatible gyroscope and an MRI compatible magnetic field sensor, which in combination
with an existing MRI compatible accelerometer will allow for rapid calibration of the device to the MRI
coordinate system and the sensing of six degree of freedom motion. BIOPAC currently makes and sells an
MRI compatible accelerometer. We will develop an MRI compatible gyroscope and magnetometer and a
combined MRI compatible accelerometer/gyroscope in the same form factor as the current accelerometer. The
sensor measurements will be converted to a digital signal through the existing BIOPAC MP160 hardware
interface. We will write a software interface to enable each sensor to be used with the BIOPAC AcqKnowledge
data acquisition software. These sensors will then be tested for their ability to operate safely in a clinical 3T
MRI environment, tested for their ability to not create artifacts due to either RF interference or magnetic
susceptibility changes, and tested for the accuracy of the sensor measurements in the MRI.

## Key facts

- **NIH application ID:** 10385269
- **Project number:** 1R41EB031739-01A1
- **Recipient organization:** BIOPAC SYSTEMS, INC.
- **Principal Investigator:** Alan MACY
- **Activity code:** R41 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $256,015
- **Award type:** 1
- **Project period:** 2021-09-20 → 2022-06-19

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10385269

## Citation

> US National Institutes of Health, RePORTER application 10385269, A Smart Assistant for MRI Technologists (1R41EB031739-01A1). Retrieved via AI Analytics 2026-06-11 from https://api.ai-analytics.org/grant/nih/10385269. Licensed CC0.

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