Computer Science ›› 2020, Vol. 47 ›› Issue (11A): 241-243.doi: 10.11896/jsjkx.200400060

• Computer Graphics & Multimedia • Previous Articles     Next Articles

3D Registration for Multi-b-value Diffusion Weighted Images of Liver

ZHANG Wen-hua, LIU Xiao-ge, WANG Pei-pei, LIU Jing-jing, CHENG Jing-liang   

  1. Department of Magnetic Resonance,the First Affiliated Hospital of Zhengzhou University,Zhengzhou 450052,China
  • Online:2020-11-15 Published:2020-11-17
  • About author:ZHANG Wen-hua,born in 1992,master.His main research interest is medical image processing.
    CHENG Jing-liang,born in 1964,Ph.D,professor,Ph.D supervisor.His main research interests include diagnosis of CT and MRI.
  • Supported by:
    This work was supported by the Medical Science and Technology Project of Henan Province(201701011).

Abstract: Diffusion-weighted images with different b values have misalignments due to patients' respiratory movement during acquisition process and the image distortion when the b value is high.This paper proposes a new 3D registration algorithm to improve the overlapping rate of 3D multi-b-value diffusion-weighted images.Fitting accuracy is obtained by fitting DW images with intra-voxel incoherent motion (IVIM) model and then a weight matrix is constructed.The precise registration is performed by free-form deformation(FFD)which is weighted by the weight matrix adaptively.The overlapping rate of 12 series of multi-b-value DW images is obviously approved after registration especially for higher b-value images and the difference is significant.The proposed method has excellent registration property and is helpful for accurate quantitative analysis in clinical diagnosis.

Key words: 3D registration, Diffusion weighted images, Free form deformation, Intra-voxel incoherent motion model

CLC Number: 

  • TP391
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