# TR&D 2: Unshackling the Scanners of the Future: From Rigid Control to Flexible Sensor-Rich Navigation

> **NIH NIH P41** · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · 2024 · $554,581

## Abstract

TRD2 Project Summary
The broad mission of our Center for Advanced Imaging Innovation and Research (CAI2R) is to bring together
collaborative translational research teams for the development of high-impact biomedical imaging
technologies, with the ultimate goal of changing day-to-day clinical practice. Technology Research and
Development (TRD) Project 2 aims to re-evaluate biomedical imaging hardware in light of rapidly evolving
modern capabilities for MRI acquisition and reconstruction. We have leading expertise in the development of
novel and state-of-the-art radiofrequency (RF) detectors and transmitters for high-performance magnetic
resonance imaging (MRI). We will continue to develop advanced flexible RF technologies to maximize SNR,
especially for low-field imaging and dynamic musculoskeletal imaging applications. We will also explore what
clinically valuable information can be collected with additional types of sensors that operate outside of the
Larmor frequency range with the goals of complementing clinical MRI data and potentially enabling risk
prediction and monitoring without the need for expensive and time-consuming MR scans. Finally, we will
develop computational tools for speed and flexibility in safety assurance in standard and novel MR systems.
Such tools will enable subject-specific anatomic-based safety assurance as well as evaluation of proposed
non-traditional, highly accessible MR systems and novel imaging methods.

## Key facts

- **NIH application ID:** 10939348
- **Project number:** 2P41EB017183-11
- **Recipient organization:** NEW YORK UNIVERSITY SCHOOL OF MEDICINE
- **Principal Investigator:** Christopher M Collins
- **Activity code:** P41 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $554,581
- **Award type:** 2
- **Project period:** 2014-09-30 → 2029-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10939348

## Citation

> US National Institutes of Health, RePORTER application 10939348, TR&D 2: Unshackling the Scanners of the Future: From Rigid Control to Flexible Sensor-Rich Navigation (2P41EB017183-11). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10939348. Licensed CC0.

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