Computer Science ›› 2018, Vol. 45 ›› Issue (5): 243-249.doi: 10.11896/j.issn.1002-137X.2018.05.042

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Fitting Accuracy Guided Registration for Diffusion Weighted Images

ZHANG Wen-hua, ZHANG Ming-hui, GUO Yi-hao, LU Zhen-tai and LIU Ying   

  • Online:2018-05-15 Published:2018-07-25

Abstract: Quantifying analysis of diffusion-weighted images has been widely used in clinical diagnosis.But the misalignments among diffusion weighted images with different b values caused by patients’ respiratory and cardiac motion during scan lead to a reduced diagnostic value.Thus registration is a precondition for precise quantifying analysis.Conventional registration algorithms will cause unwanted distortions in the registration of different b-value images to b0 ima-ge,especially for high-b-value images,due to the signal attenuation among different b-value images and the inhomogeneity in b0 image.This paper proposed a new method that utilizes fitting accuracy to guide free-form deformation(FFD) model for precise registration of multi-b-value diffusion weighted images.Fitting accuracy was obtained by fitting DW images with intra-voxel incoherent motion(IVIM) model and then a weight matrix was constructed with fitting accuracy to adaptively weight step size in FFD for finding the optimal transformation field.The results of 5 series of multi-b-value diffusion weighted images indicate that the proposed method improves the registration property of diffusion weighted images and obtains more accurate IVIM parameters after registration.

Key words: Diffusion weighted images,Intra-voxel incoherent motion model,Fitting accuracy,Free form deformation

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