Meeting Banner
Abstract #2086

Influences of B-Value on the Reproducibility and Accuracy of Diffusion Kurtosis Imaging

Ming-Chung Chou1, Wan-Hsin Wen1, Sheng-Fang Huang1, Cheng-Wen Ko2, Ping-Hong Lai3

1Department of Medical Imaging and Radiological Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan; 2Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan; 3Department of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan

Diffusion kurtosis imaging (DKI) was demonstrated to successfully estimate the non-Gaussian distribution of water diffusion in vivo and has been applied in many clinical applications. Similar to diffusion tensor imaging, b-value is an important factor in the measurement of DKI indices and may have influential effects on them. Rapid DKI with three b-values was proposed to obtain DKI indices in clinically acceptable time, but the results may be affected by the choice of b-value. This study performed repeated measurement to investigate the effects of b-value on the reproducibility and accuracy of DKI indices and found that both reproducibility and accuracy were impacted by b-values.

Keywords

acceptable account accuracy accurate acquisition affected affine alterations always anisotropic anisotropy applications applied assessed asset besides better biases brain calculating choice clinical clinically coefficient collinear combined comparing compensate computer concomitant constraints construct corpus corrected dataset datasets decomposed decrease definite dependency dependent derived detect diffusion distribution elements employed engineering errors estimation exhibited fang fifteen fitting full general generalized generate global gold gradient gray healthy helped hence highly hinder homogeneous hong hospital human impacted important imposed in vivo influences influential investigate isotropic kurtosis larger lengthening male many maps materials matrices matrix medical ming model motion national necessary overestimated parameterized ping polynomials positive preferable previous proposed radiological radiology rapid reduce registration repeated reproducibility respectively resultant robustly rotation science sciences semi separated separations significantly slice studies subject successfully suggesting table take tensor tissues twelve underestimated utilized variation variations veterans water white year