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Abstract #3193

Semi-Automated Profile Generation for Functional Cartilage Imaging

Daniel Ross Thedens1, Noelle F. Klocke2, Annunziato Amendola2, Douglas R. Pedersen2

1Radiology, University of Iowa, Iowa City, IA, United States; 2Orthopaedics and Rehabilitation, University of Iowa, Iowa City, IA, United States

A comprehensive assessment of cartilage function may use multiple quantitative techniques such as T2, T1ρ, and dGEMRIC, and may follow the subject over multiple time points. The purpose of this study was to develop a semi-automated technique to generate accurate and reproducible line profiles along the joint surface of the knee for T2, T1ρ, and dGEMRIC to permit direct registration, comparison, and correlation between functional cartilage imaging methods. This work demonstrates the feasibility of an edge-based line growing technique to generate anatomical correspondence between multiple modalities and time points to directly correlate and contrast the measurements from each.