Estimation of liver T*2 in transfusion‐related iron overload in patients with weighted least squares T*2 IDEAL |
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| Authors: | Shreyas S. Vasanawala Huanzhou Yu Ann Shimakawa Michael Jeng Jean H. Brittain |
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| Affiliation: | 1. Department of Radiology, Stanford University Medical School, Stanford, California, USA;2. Applied Science Laboratory, GE Healthcare, Menlo Park, California, USA;3. Department of Pediatrics, Division of Hematology/Oncology, Stanford University Medical School, Stanford, California, USA;4. Applied Science Laboratory, GE Healthcare, Madison, Wisconsin, USA |
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| Abstract: | ![]()
MRI imaging of hepatic iron overload can be achieved by estimating T2* values using multiple‐echo sequences. The purpose of this work is to develop and clinically evaluate a weighted least squares algorithm based on T2* Iterative Decomposition of water and fat with Echo Asymmetry and Least‐squares estimation (IDEAL) technique for volumetric estimation of hepatic T2* in the setting of iron overload. The weighted least squares T2* IDEAL technique improves T2* estimation by automatically decreasing the impact of later, noise‐dominated echoes. The technique was evaluated in 37 patients with iron overload. Each patient underwent (i) a standard 2D multiple‐echo gradient echo sequence for T2* assessment with nonlinear exponential fitting, and (ii) a 3D T2* IDEAL technique, with and without a weighted least squares fit. Regression and Bland–Altman analysis demonstrated strong correlation between conventional 2D and T2* IDEAL estimation. In cases of severe iron overload, T2* IDEAL without weighted least squares reconstruction resulted in a relative overestimation of T2* compared with weighted least squares. Magn Reson Med, 2011. © 2011 Wiley‐Liss, Inc. |
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| Keywords: | iron overload T2* hemosiderosis |
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