Abstract #1116

Reliable high-resolution in vivo human knee T1ρ imaging quantification with robust fitting methods

Zhiyuan Zhang^1,2,3, Jeehun Kim^1,3,4, Richard Lartey^1,3, Carl Scherman Winalski^1,3,5, and Xiaojuan Li^1,3,5

¹Program of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, Cleveland, OH, United States, ²Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, ³Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, United States, ⁴Electrical, Computer, and Systems Engineering, Case Western Reserve University, Cleveland, OH, United States, ⁵Department of Diagnostic Radiology, Imaging Institute, Cleveland Clinic, Cleveland, OH, United States

Synopsis

Keywords: Cartilage, Quantitative Susceptibility mappingQuantitative MR T1ρ and T2 imaging are promising methods to detect osteoarthritis at its early stage. Current T1ρ and T2 mapping in human subjects is limited to a relatively low resolution which has limited sensitivity to focal lesions due to partial-volume effects. One of the hurdles to achieving high resolution is the increase in fitting bias when using a conventional nonlinear least-squares fitting with low SNR images. In this study, we evaluated T1ρ quantification with in-vivo high-resolution imaging with different fitting methods.

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