Abstract #2910
Reliability of the diffusion indexes derived from fast diffusion kurtosis imaging
Wen-Chau Wu 1,2
1
National Taiwan University, Taipei, Taiwan,
2
Graduate
Institute of Biomedical Electronics and Bioinformatics,
National Taiwan University, Taipei, Taiwan
Diffusion kurtosis (DK) imaging is an extended diffusion
MR imaging technique that permits evaluation of
diffusion heterogeneity, a common characteristic of
biological tissue that causes non-Gaussian diffusion.
Jensen and coworkers recently proposed a fast DK imaging
method based on 3-b-value acquisition and closed-form
expressions. Although time efficient, the method may be
prone to extreme variability of a single data point (as
compared with to relatively time-consuming fitting over
multiple data points). In this study, we investigated
the variability of the indexes derived with fast DK
imaging in the context of signal-to-noise ratio. The
sensitivity of the indexes was compared with the
corresponding indexes derived from the stretched
exponential model imaging, another extended diffusion
imaging technique.
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