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Abstract #2052

Optimizing Myocardium T2* Mapping using a Novel Multi-Dimension Integration (MDI) Method

Wenbo Sun1, Lan Lan1, Junpu Hu2, Yanqun Teng2, Yongquan Ye3, Jingyuan Lyu3, Jian Xu3, Haibo Xu1, and XiaoChun Zhang1
1Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, China, 2United Imaging Healthcare, Shanghai, China, 3UIH America Inc., Houston, TX, United States

Traditional myocardium T2* mapping based on curve fitting methods generally suffers from artifacts, suboptimal SNR and poor reproducibility. This study aimed to evaluate the benefits of a novel multi-dimension integration (MDI) method on myocardium T2* mapping. Five patients with known myocardial infarction were recruited. The MDI method was compared with curve fitting methods based on exponential and linear models. Results showed our MDI method had higher image quality and diagnose sensitivity, as well as much faster computation speed than curve fitting methods. MDI has the potential to provide accurate and reliable measurements for myocardial iron content.

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