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JACIII Vol.20 No.4 pp. 554-560
doi: 10.20965/jaciii.2016.p0554
(2016)

Paper:

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Anisotropic Sampling Shape of White Matter Microstructure Cannot Cheat Diffusional Kurtosis

Yuanyuan Chen*,**, Xin Zhao**,†, Miao Sha**, Yanan Liu**, Jianguo Ma*, Hongyan Ni***, Hongzhi Qi**,†, and Dong Ming**

*School of Electronics and Information Engineering, Tianjin University
92, Weijin Road, Nankai District, Tianjin, China

**School of Precision instrument & Optoelectronic Engineering, Tianjin University
92, Weijin Road, Nankai District, Tianjin, China

***Department of Radiology, Tianjin First Central Hospital
24, Fukang Road, Nankai District, Tianjin, China

†Corresponding author

Received:
October 30, 2015
Accepted:
April 13, 2016
Published:
July 19, 2016
Creative Commons License
Keywords:
diffusion tensor imaging, diffusion kurtosis imaging, white matter, anisotropic sampling
Abstract
Diffusion kurtosis imaging is a newly developed diffusion magnetic resonance imaging technique, which is becoming increasingly valuable in clinical practice. Although low-resolution sampling is commonly used to compensate the unsteadiness of kurtosis estimation, the influence of the sampling shape has not been investigated. In this study, by using two different acquisition protocols, isotropic and anisotropic sampling voxels were acquired and their influence on various white matter structures was observed. Fiber tracking, T-tests, and correlation analysis were used to quantify the difference between the anisotropic and isotropic sampling. A significant difference (p<0.01) was found in the fractional anisotropic level but not in kurtosis. The results presented here can provide a basis for higher resolution as well as higher quality kurtosis mapping, which may be of great significance in clinical examinations.
Cite this article as:
Y. Chen, X. Zhao, M. Sha, Y. Liu, J. Ma, H. Ni, H. Qi, and D. Ming, “Anisotropic Sampling Shape of White Matter Microstructure Cannot Cheat Diffusional Kurtosis,” J. Adv. Comput. Intell. Intell. Inform., Vol.20 No.4, pp. 554-560, 2016.
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