SBIR/STTR Research Award

Real-time head motion monitoring for all clinical MR sequences using Universal FIRMM

Award identifier 6ffa47a60f2c87bbf8cb68729633b6899de82ff8fe906bd28bba2850070b298bAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$699,964

Program and phase

SBIR · Phase I

Award year

2025

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
TURING MEDICAL TECHNOLOGIES INC
Proposal award date
2025-09-22
Contract end date
2026-09-21
UEI
DXK7YWNEZEL4
Solicitation number
PA24-245
Topic code
NIA

Research abstract

Project Abstract/Summary The objective of this SBIR Fast Track submission is to provide a method of detecting and reducing patient motion during MRI, with a specific focus on MRI screening for amyloid-related imaging abnormalities (ARIA). The recent approval of novel anti-amyloid therapies for Alzheimer’s disease treatment has produced a rapid increase in MRI scans for pre-screening and ARIA surveillance. This new MRI monitoring is expected to account for nearly 5-10 million new MRI scans for proper monitoring across the U.S. and Europe with an annual growth rate of 4% annually. The greatest problem for MRI is its susceptibility to patient motion, which is particularly the case in the ARIA surveillance protocol, where the counting of microhemorrhages is particularly motion sensitive. In US clinical practice 20% of clinical brain MRIs are distorted by motion – wasting ~$4 billion/year. Currently, MRI motion is dealt with by repeating scans or sedation. Both approaches diminish throughput, while increasing costs, patient burden, and health risks. While the existing FIRMM software system has demonstrated efficacy in reducing the impact of motion in MRI neuroimaging, it is currently limited to a subset of MRI imaging sequences that does not include key components of the ARIA screening protocol, or clinical neuroimaging protocols more generally. To address this, we propose to create Universal FIRMM using a novel RF-based motion tracking system that is compatible with all MRI pulse sequences while requiring no modification to the clinical MRI workflow. The proposed research focuses on delivering proof-of-concept for Universal FIRMM (Phase I) and building and validating a clinical-ready version of Universal FIRMM for pre-treatment screening and ARIA surveillance (Phase II). Universal FIRMM provides scan operators and physicians with real time motion information, leading to higher-quality and lower-cost MRI, supporting the new and growing need for ARIA surveillance.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

12 SBIR/STTR records share this UEI (2019–2025). Reported award amounts total $32,497,158. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: Department of Health and Human Services

Agency intelligence

Department of Health and Human Services

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