计算机科学 ›› 2020, Vol. 47 ›› Issue (11A): 241-243.doi: 10.11896/jsjkx.200400060

• 计算机图形学&多媒体 • 上一篇    下一篇

肝脏多b值扩散加权图像的三维配准

张文华, 刘晓鸽, 王沛沛, 刘静静, 程敬亮   

  1. 郑州大学第一附属医院磁共振科 郑州 450052
  • 出版日期:2020-11-15 发布日期:2020-11-17
  • 通讯作者: 程敬亮(cjr.chjl@vip.163.com)
  • 作者简介:15626045800@163.com
  • 基金资助:
    河南省医学科技攻关计划省部共建项目(201701011)

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).

摘要: 针对肝脏扩散加权图像采集过程中病人的呼吸运动以及b值较高时图像的变形会导致不同b值的图像间出现偏差,提出一种新的三维配准算法以提高多b值扩散图像间的重叠率。应用体素不相干运动(intra-voxel incoherent motion,IVIM)模型,对图像进行参数拟合得到拟合精度,然后利用拟合精度构造权重矩阵对图像中不同位置自适应地加权自由形变(Free-Form Deformation,FFD)实现多b值弥散图像的精确配准。12组图像经过配准后,不同b值图像之间的重叠率明显高于配准前,在b值较高时效果更加明显,其差异具有统计学意义。本文提出的方法具有优良的配准效果,能够帮助临床诊断进行精确的量化分析。

关键词: 扩散加权图像, 三维配准, 体素不相干运动模型, 自由形变

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

中图分类号: 

  • TP391
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