Abstract #2254

Robust Fitting Methods for Knee Cartilage T1ρ Quantification with Varied SNR – Preliminary results from a Multi-vendor Multi-site study

Zhiyuan Zhang^1,2,3, Jeehun Kim^1,2,4, Richard Latery^1,2, Carl Scherman Winalski^1,2,5, Jing Liu⁶, Thomas Link⁶, Qi Peng⁷, Leslie Ying^8,9, Peter Hardy¹⁰, and Xiaojuan Li^1,2,5

¹Program of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, Cleveland, OH, United States, ²Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, United States, ³Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, ⁴Department Electrical, Computer, and Systems Engineering, Case Western Reserve University, Cleveland, OH, United States, ⁵Department of Diagnostic Radiology, Imaging Institute, Cleveland Clinic, Cleveland, OH, United States, ⁶Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, ⁷Department of Radiology, Albert Einstein College of Medicine, Bronx, NY, United States, ⁸Department of Biomedical Engineering, University at Buffalo, Buffalo, OH, United States, ⁹Department of Electrical Engineering, University at Buffalo, Buffalo, NY, United States, ¹⁰Department of Radiology, University of Kentucky, Lexington, KY, United States

Synopsis

Keywords: Cartilage, MSK

Motivation: High-resolution T1ρ mapping is desired for improved sensitivity to small lesions and less partial volume averaging effects. However, the low image SNR can induce bias in T1ρ quantification.

Goal(s): To develop and evaluate advanced fitting methods of high-resolution T1ρ mapping in a multi-site multi-vendor setting.

Approach: High-resolution T1ρ mapping in volunteers were collected with a harmonized protocol from three sites and three MR platforms. Data were fitted with nonlinear least-squares (NLS) fitting, noise-corrected NLS fitting (NCNLS), and maximum-likelihood estimation (MLE).

Results: :NLS overestimated T1ρ while NCNLS and MLE reduced the overestimation. The results were consistent across all sites

Impact: Advanced fitting methods can reduce fitting errors induced by low SNR for high-resolution T1ρ mapping, which may provide improved diagnosis of osteoarthritis.

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