Rapid Multiparametric Assessment of Hip Cartilage with MR Fingerprinting The goal of this project is to develop a new non-invasive method for the diagnosis and staging of hip cartilage damage in femoroacetabular impingement (FAI). We will employ concepts from magnetic resonance fingerprinting (MRF) to develop a technique for simultaneous high-resolution mapping of cartilage T1, T2 and T2* in clinically feasible scan time. The proposed method will be useful to accurately assess articular cartilage damage preoperatively, predict risk for progression, impact management decisions, for example by identifying patients who will benefit from arthroscopy, and monitor the effectiveness of joint preserving surgeries, as well as cartilage repair procedures, in preventing hip osteoarthritis. Successful completion of this project will enable to investigate a new classification system for articular cartilage lesions in the hip, based on preoperative quantitative biochemical measurements, which are intrinsically more sensitive to early cartilage damage than standard X-ray and magnetic resonance imaging (MRI). We will effectively translate MR-based biochemical assessment of cartilage into clinical application, which will have a dramatic impact on the care of patients with FAI and other degenerative joint diseases. The proposed technique will allow in-vivo rapid volumetric multiparametric mapping and could have an impact for quantitative imaging in other anatomical structures (e.g., the brain).

Public Health Relevance

The goal of this project is to develop a magnetic resonance (MR) technique for rapid multiparametric biochemical assessment of the hip articular cartilage in femoroacetabular impingement (FAI). We will employ the principles of MR fingerprinting to enable for the first time simultaneous in-vivo mapping of T1, T2 and T2* in clinically feasible scan time. Based on a comprehensive biochemical preoperative assessment, this method will be useful to stage the severity of cartilage damage, predict risk for progression and impact patient management decisions.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Exploratory/Developmental Grants (R21)
Project #
1R21EB020096-01
Application #
8868696
Study Section
Biomedical Imaging Technology Study Section (BMIT)
Program Officer
Liu, Guoying
Project Start
2015-05-01
Project End
2017-04-30
Budget Start
2015-05-01
Budget End
2016-04-30
Support Year
1
Fiscal Year
2015
Total Cost
$211,875
Indirect Cost
$86,875
Name
New York University
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
121911077
City
New York
State
NY
Country
United States
Zip Code
10016
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Lattanzi, Riccardo; Zhang, Bei; Knoll, Florian et al. (2018) Phase unwinding for dictionary compression with multiple channel transmission in magnetic resonance fingerprinting. Magn Reson Imaging 49:32-38
Assländer, Jakob; Cloos, Martijn A; Knoll, Florian et al. (2018) Low rank alternating direction method of multipliers reconstruction for MR fingerprinting. Magn Reson Med 79:83-96
Yu, Zidan; Zhao, Tiejun; Assländer, Jakob et al. (2018) Exploring the sensitivity of magnetic resonance fingerprinting to motion. Magn Reson Imaging 54:241-248
Cloos, Martijn A; Knoll, Florian; Zhao, Tiejun et al. (2016) Multiparametric imaging with heterogeneous radiofrequency fields. Nat Commun 7:12445