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A Modified Tri-Exponential Model for Multi-b-value Diffusion-Weighted Imaging: A Method to Detect the Strictly Diffusion-Limited Compartment in Brain.


ABSTRACT: Purpose: To present a new modified tri-exponential model for diffusion-weighted imaging (DWI) to detect the strictly diffusion-limited compartment, and to compare it with the conventional bi- and tri-exponential models. Methods: Multi-b-value diffusion-weighted imaging (DWI) with 17 b-values up to 8,000 s/mm2 were performed on six volunteers. The corrected Akaike information criterions (AICc) and squared predicted errors (SPE) were calculated to compare these three models. Results: The mean f0 values were ranging 11.9-18.7% in white matter ROIs and 1.2-2.7% in gray matter ROIs. In all white matter ROIs: the AICcs of the modified tri-exponential model were the lowest (p < 0.05 for five ROIs), indicating the new model has the best fit among these models; the SPEs of the bi-exponential model were the highest (p < 0.05), suggesting the bi-exponential model is unable to predict the signal intensity at ultra-high b-value. The mean ADCvery-slow values were extremely low in white matter (1-7 × 10-6 mm2/s), but not in gray matter (251-445 × 10-6 mm2/s), indicating that the conventional tri-exponential model fails to represent a special compartment. Conclusions: The strictly diffusion-limited compartment may be an important component in white matter. The new model fits better than the other two models, and may provide additional information.

SUBMITTER: Zeng Q 

PROVIDER: S-EPMC5834430 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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A Modified Tri-Exponential Model for Multi-<i>b</i>-value Diffusion-Weighted Imaging: A Method to Detect the Strictly Diffusion-Limited Compartment in Brain.

Zeng Qiang Q   Shi Feina F   Zhang Jianmin J   Ling Chenhan C   Dong Fei F   Jiang Biao B  

Frontiers in neuroscience 20180226


<b>Purpose:</b> To present a new modified tri-exponential model for diffusion-weighted imaging (DWI) to detect the strictly diffusion-limited compartment, and to compare it with the conventional bi- and tri-exponential models. <b>Methods:</b> Multi-<i>b</i>-value diffusion-weighted imaging (DWI) with 17 <i>b</i>-values up to 8,000 s/mm<sup>2</sup> were performed on six volunteers. The corrected Akaike information criterions (AICc) and squared predicted errors (SPE) were calculated to compare the  ...[more]

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