Yin Wu1,2, Chao Zou1,2, Lijuan
Zhang1,2, Wei Liu1,2, Rui-Bin Dai1,2, Na
Zhang1,2, Xin Liu1,2
1Paul C. Lauterbur Research
Centre for Biomedical Imaging, Shenzhen Institutes of Advanced Technology,
Shenzhen, Guangdong, China, People's Republic of; 2Key Laboratory of
Biomedical Informatics & Health Engineering, Chinese Academy of Sciences,
Shenzhen, Guangdong, China, People's Republic of
Conventional DTI assumes a free Gaussian process of water diffusion, which may not apply in tissues with complex structures. In this study, effect of b-values on myocardium DTI indices (FA, mean diffusivity, axial and radial diffusivities) was assessed and two fitting models for DWI data were evaluated on LV myocardium. DTI indices substantially decreased with increasing b values. Stat model demonstrated a better fitting for the DWI signals than Monoexp model. This study confirmed the conspicuous influence of b-value on DTI indices quantification, and demonstrated the necessity of optimizing b-value and DWI fitting model for better characterizing the myocardium microstructure.
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