# TR&D1: Ultra-Fast Multiparametric MR Imaging Methods for Quantitative PET/MR

> **NIH NIH P41** · YALE UNIVERSITY · 2024 · $333,320

## Abstract

Combining quantitative MR (qMR) with PET synergistically provides perfectly registered,
complementary physiological biomarkers. Our pioneering work during the initial funding cycle, Y1-4,
of our P41 in quantitative PET/MR, has provided solutions to some of the most vexing problems
affecting PET/MR, including reliable and accurate corrections for attenuation correction and
involuntary subject motion. These techniques achieve PET resolution close to the intrinsic resolution
of the scanner and enable a range of novel PET/MR applications. In this renewal application, we will
develop and deliver unique PET/MR imaging technologies that not only enable physiological high-
impact novel PET/MR but will also benefit standalone MR research. We focus our efforts on multi-
parametric qMR techniques by leveraging our recent breakthroughs on subspace/manifold modeling,
MR-physics informed deep learning (DL), and multi-contrast ultra-fast MR sequences. Our proposed
research focuses on developing and delivering new PET/MR imaging techniques along three axes: i)
multi-parametric, free-running, cardiac MRI method for motion corrected whole-heart membrane
potential imaging using PET/MR; ii) high resolution MRSI for multi-modality, multi-parametric,
molecular imaging using PET/MR; and iii) ultra-fast, multi-component quantitative MR using deep
learning and MR physics modeling. We will validate the proposed methods in TR&D3 PET/MR axes
of research and through collaborations with our Collaborative Projects. We will leverage the DL
methodologies proposed in TR&D2 to further improve image quality of quantitative PET/MR
techniques in TR&D1.

## Key facts

- **NIH application ID:** 10909228
- **Project number:** 7P41EB022544-08
- **Recipient organization:** YALE UNIVERSITY
- **Principal Investigator:** Georges El Fakhri
- **Activity code:** P41 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $333,320
- **Award type:** 7
- **Project period:** 2017-09-30 → 2028-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10909228

## Citation

> US National Institutes of Health, RePORTER application 10909228, TR&D1: Ultra-Fast Multiparametric MR Imaging Methods for Quantitative PET/MR (7P41EB022544-08). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10909228. Licensed CC0.

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