# TR&D 2: Unshackling the Scanners of the Future: Flexible, self-correcting, multisensor machines

> **NIH NIH P41** · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · 2021 · $279,301

## 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 (TR&D) Project 2 aims to re-evaluate biomedical imaging hardware in light of rapidly evolving
modern capabilities for image 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 RF technologies, along with enabling tools
for physiology-based safety assurance in MRI, and tools for evaluation as well as optimization of advanced
imaging methods. We will also explore what information can be gleaned from new types of sensors, including
unconventional flexible RF detector arrays and a broad array of other emerging sensing modalities. The
prospect of self-driving cars, continuously probing their environment with LIDAR and other sensors, has
captured the public imagination. We will explore what may be required for an analogous model of “self-driving
scanners,” outfitted with a sufficient number and variety of sensors to be able to navigate through substantial
inhomogeneities and dynamic variations in imaging conditions.

## Key facts

- **NIH application ID:** 10246948
- **Project number:** 5P41EB017183-08
- **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:** 2021
- **Award amount:** $279,301
- **Award type:** 5
- **Project period:** 2014-09-30 → 2024-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10246948

## Citation

> US National Institutes of Health, RePORTER application 10246948, TR&D 2: Unshackling the Scanners of the Future: Flexible, self-correcting, multisensor machines (5P41EB017183-08). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10246948. Licensed CC0.

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