# Enhanced MR for morphological characterization of ligaments, tendons and bone

> **NIH NIH U01** · STATE UNIVERSITY OF NEW YORK AT BUFFALO · 2021 · $728,932

## Abstract

PROJECT SUMMARY/ABSTRACT
According to Council for Disability Awareness, diseases of the musculoskeletal system and connective tissue,
such as the ligaments, tendons and bone are the #1 cause of disability in the United States. MR imaging has
been increasingly becoming the diagnostic tool of choice for evaluation and management of these diseases
and injuries due to its potential of providing information on not only anatomic structure but also function
noninvasively. However, the capability of MRI in studying human ligaments, tendons and bone is limited by
inadequate sensitivity and slow acquisitions of conventional MR technology. Semi-solid/solid tissues, including
collagen-rich tissues such as calcified ligaments and tendons, as well as periosteum, cortical bone and
trabecular bone, provide very little MR signal with traditional MRI due to their very short transverse (T2)
relaxation time of a few milliseconds or less. In addition, during the long acquisition times, involuntary
movements of human subjects introduce motion artifacts, posing a critical challenge in obtaining high-
resolution images with diagnostic value. Several recently developed technologies have the potential to address
these limitations. Ultrahigh field 7T MRI, parallel imaging, and compressed sensing have demonstrated unique
advantages of high sensitivity and fast acquisitions in vivo. Studies on musculoskeletal imaging using ultra-
short echo time (UTE) and zero echo time (ZTE) methods have shown unparalleled capability to image short
T2 species normally invisible in MRI. However, the implementation of these technologies at ultrahigh fields is
challenging due to design difficulties of the required high frequency multichannel coil arrays, as well as the
problems associated with ultrahigh fields, e.g. increased susceptibility, B1 inhomogeneity, and increased SAR.
In this study, through a synergistic bioengineering research partnership, we propose a comprehensive project
for developing advanced hardware and imaging methods at 7T to enable morphological and functional
characterization of human ligaments, tendons and bone. These developments aim to produce highly sensitive,
isotropic ~100-150um resolution images of semi-solid connective tissues with clinically relevant contrast in 1
minute scan time. Hardware developments will include multichannel coil arrays for knee and extremities using
quadrature and flexible array technology with metamaterial decoupling, as well as application of pyrolytic
graphite materials for reducing susceptibility artifacts. Imaging acquisition developments will be based on
improved UTE/ZTE sequences, and we propose new integrated techniques for improved semi-solid tissue
contrast, motion correction, and acceleration using parallel imaging and compressed sensing. We will also
validate the methods developed and assess the performance and safety/SAR. This research would provide
sensitive imaging tools for morphological and functional characterization of lig...

## Key facts

- **NIH application ID:** 10246251
- **Project number:** 5U01EB023829-03
- **Recipient organization:** STATE UNIVERSITY OF NEW YORK AT BUFFALO
- **Principal Investigator:** Xiaojuan Li
- **Activity code:** U01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $728,932
- **Award type:** 5
- **Project period:** 2020-08-05 → 2025-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10246251

## Citation

> US National Institutes of Health, RePORTER application 10246251, Enhanced MR for morphological characterization of ligaments, tendons and bone (5U01EB023829-03). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10246251. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*