Repeatability of ultrashort echo time‐based two‐component T2* measurements on cartilages in human knee at 3 T |
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Authors: | Yongxian Qian Ashley A. Williams Constance R. Chu Fernando E. Boada |
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Affiliation: | 1. MR Research Center, Department of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA;2. Department of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania, USA;3. Department of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA |
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Abstract: | Repeatability of in vivo measurement of multicomponent T2* relaxation in articular cartialges in human knee is important to clinical use. This study evaluated the repeatability of two‐component T2* relaxation on seven healthy human subjects. The left knee was scanned once a day in three consecutive days, on a clinical 3T MRI scanner with eight‐channel knee coil and ultrashort echo time pulse sequence at 11 echo times = 0.6–40 ms. The intrasubject and intersubject repeatability was evaluated via coefficient of variation (CV = standard deviation/mean) in four typical cartilage regions: patellar, anterior articular, femoral, and tibial regions. It was found that the intrasubject repeatability was good, with CV < 10% for the short‐ and long‐T2* relaxation time in the layered regions in the four cartilages (with one exception) and CV < 13% for the component intensity fraction (with two exceptions). The intersubject repeatability was also good, with CV ~8% (range 1–15%) for the short‐ and long‐T2* relaxation time and CV ~10% (range 2–20%) for the component intensity fraction. The long‐T2* component showed significantly better repeatability (CV ~8%) than the short‐T2* component (CV~12%) (P < 0.005). These CV values suggest that in vivo measurement of two‐component T2* relaxation in the knee cartilages is repeatable on clinical scanner at 3 T, with a signal‐to‐noise ratio of 90. Magn Reson Med, 2013. © 2012 Wiley Periodicals, Inc. |
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Keywords: | repeatability T2* relaxation multiple component knee cartilage ultrashort echo time imaging |
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