# Rapid Quantitative Assessment of Knee Joint with Compressed Sensing

> **NIH NIH R01** · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · 2021 · $571,494

## Abstract

PROJECT SUMMARY
Osteoarthritis (OA) is a degenerative joint disease, affecting more than 27 million people in the United States
alone. This large affected population and the severe consequent debility of OA lead to significant expenses to
the health care system. OA is characterized by biochemical, structural and morphologic degradation of
components of the extracellular matrix (ECM) of articular cartilage. The ECM is composed of primarily two
groups of macromolecules including proteoglycan (PG) and collagen fibers. Early diagnosis of cartilage
degeneration would require the ability to non-invasively detect changes in PG concentration and collagen
integrity before morphological changes occur. T1ρ and T2 relaxation times are affected by these pathological
processes and are the most widely used biochemical cartilage MRI sequences worldwide. .
The overarching goal of this proposal is to develop, optimize, and translate high spatial resolution 3D-isotropic-
MRI sequence (700µmX700µmX700µm) for simultaneous assessment of morphometry and biexponential 3D-
T1ρ (T2) mapping sequences (each protocol under 10 minutes) for improved quantitative assessment of
morphological (cartilage thickness and volume) and biochemical characterization of cartilage on a standard
clinical 3T scanner employing combinations of compressed sensing (CS) and parallel imaging (PI). The
proposed accelerated, isotropic, high spatial resolution, multicomponent 3D-T1ρ (T2) mapping techniques can
be easily incorporated into routine clinical protocols for biochemical assessment of cartilage in addition to
standard morphological evaluation and could serve as future imaging biomarkers for disease modifying
therapies for OA. The outcome of this proposed study will significantly impact our ability for personalized
treatment regimens and possibly prevent the development of premature OA.

## Key facts

- **NIH application ID:** 10227958
- **Project number:** 5R01AR076328-02
- **Recipient organization:** NEW YORK UNIVERSITY SCHOOL OF MEDICINE
- **Principal Investigator:** Ravinder Regatte
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $571,494
- **Award type:** 5
- **Project period:** 2020-08-03 → 2025-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10227958

## Citation

> US National Institutes of Health, RePORTER application 10227958, Rapid Quantitative Assessment of Knee Joint with Compressed Sensing (5R01AR076328-02). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10227958. Licensed CC0.

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