Eddy-current-induced distortion correction using maximum reconciled mutual information in diffusion MR imaging

Purpose In diffusion tensor imaging, a large number of diffusion-weighted (DW) images with different diffusion gradient directions are attained during scanning. However, subjects’ involuntary head movements and eddy current effect related to large diffusion-sensitizing gradients will cause distortio...

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Veröffentlicht in:	International journal for computer assisted radiology and surgery Jg. 14; H. 3; S. 463 - 472
Hauptverfasser:	Liang, Junling, Zhao, Shujun, Di, Liqing, Wang, Jingjuan, Sun, Pengcheng, Chai, Xinyu, Li, Heng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 01.03.2019 Springer Nature B.V
Schlagworte:	Algorithms Anisotropy Brain Communication channels Complexity Computer Imaging Computer Science Diffusion effects Distortion Eddy currents Entropy (Information theory) Head movement Health Informatics Image registration Imaging Magnetic resonance imaging Medical imaging Medicine Medicine & Public Health Methods Original Article Pattern Recognition and Graphics Quantitative analysis Radiology Registration Sensitizing Similarity Similarity measures Software Surgery Tensors Vision Diffusion-weighted imaging Reconcile entropy Diffusion MR Registration Mutual information
ISSN:	1861-6410, 1861-6429, 1861-6429
Online-Zugang:	Volltext
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