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Optimal Model Mapping for Intravoxel Incoherent Motion MRI

Liao, Yen-Peng 京都大学 DOI:10.14989/doctor.k23117

2021.03.23

概要

In the intravoxel incoherent motion MRI (IVIM-MRI) study, generally, only one diffusion model would be applied to whole field-of-view voxels. However, the choice of the applied diffusion model can significantly influence the estimated diffusion parameters. The quality of the diffusion analysis can influence the reliability of the perfusion analysis. This study proposed an optimal model mapping method to improve the reliability of the perfusion parameter estimation in the IVIM study. Six normal subjects were examined with a whole-body 3T scanner Trio Tim (Siemens, Germany) with a 32-channel phased-array head coil. In IVIM-MRI, six motion probing gradient (MPG) directions ([1,1,0], [0,1,1], [1,0,1], [1,−1,0], [0,1,−1], [−1,0,1]) with 17 b-values ranging from 0 to 2500 s/mm2 were applied for a single set of IVIM-MRI images. Totally six sets of images were obtained, and different SNR data sets were derived by changing the numbers of average (NA) from one to six. The other imaging parameters were TR/TE = 2,600/80 ms; flip angle = 90°; voxel size = 3×3×3 mm3; acquisition matrix size = 64×48 (3/4 partial Fourier); image matrix size = 64×64; 22 slices and slice gap = 3 mm. The IVIM-MRI parameters were analyzed by using the asymptotic method. The threshold b-value of 600 s/mm2 was used. Gaussian, Kurtosis, and Gamma models were used for the optimal model mapping. The diffusion-relative parameters of mean diffusivity (MD) and apparent diffusional kurtosis (Kapp) were acquired model by model. The residual signals were then analyzed by the mono-exponential model for the perfusion-relative parameters of the perfusion fraction (fp) and the pseudo-diffusion coefficient (D*). The corrected Akaike Information Criterion (cAIC) was used to verify the optimal model for a voxel in each condition. The optimal parameters' volume was reconstructed by referring to the optimal model map and filling the optimal results to the corresponding voxels. The results showed that the Gaussian model, the Kurtosis model, and the Gamma model were found to be optimal for the CSF, white matter (WM), and gray matter (GM), respectively. In the mean perfusion fraction (fp) analysis, the GM/WM ratios were 1.16 (Gaussian model), 1.80 (Kurtosis model), 1.94 (Gamma model), and 1.54 (Optimal model mapping); in the mean pseudo diffusion coefficient (D*) analysis, the GM/WM ratios were 1.18 (Gaussian model), 1.19 (Kurtosis model), 1.56 (Gamma model), and 1.24 (Optimal model mapping). With the optimal model mapping method, the estimated fp and D* were reliable compared with the conventional methods. In addition, the optimal model maps, the associated products of this method, may provide additional information for clinical diagnosis.

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