Improving the correction of eddy current-induced distortion in diffusion-weighted images by excluding signals from the cerebral spinal fluid

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• 作者：Wei Liu ; Xiaozheng Liu ; Guang Yang ; Zhenyu Zhou ; Yongdi Zhou ; Gengying Li ; Marc Dubin ; Ravi Bansal ; Bradley S. Peterson ; Dongrong Xu
• 关键词：ADC ; apparent diffusion coefficient ; BET ; Brain Extraction Tool ; CSF ; cerebral spinal fluid ; DTI ; diffusion tensor image ; DW ; diffusion weighted ; DWI ; diffusion weighted imaging ; EAR ; ellipsoidal area ratio ; EC ; eddy current ; ECC ; entropy correlation coef
• 刊名：Computerized Medical Imaging and Graphics
• 出版年：2012
• 出版时间：October, 2012
• 年：2012
• 卷：36
• 期：7
• 页码：542-551
• 全文大小：1236 K

文摘

Iterative cross-correlation (ICC) is the most popularly used schema for correcting eddy current (EC)-induced distortion in diffusion-weighted imaging data, however, it cannot process data acquired at high b-values. We analyzed the error sources and affecting factors in parameter estimation, and propose an efficient algorithm by expanding the ICC framework with a number of techniques: (1) pattern recognition for excluding brain ventricles; (2) ICC with the extracted ventricle for parameter initialization; (3) gradient-based entropy correlation coefficient (GECC) for optimal and finer registration. Experiments demonstrated that our method is robust with high accuracy and error tolerance, and outperforms other ICC-family algorithms and popular approaches currently in use.