|本期目录/Table of Contents|

[1]宋湘芬,林仕令,宋磊,等.基于B样条的医学图像弹性配准*[J].生物医学工程研究,2017,03:213-217.
 SONG Xiangfen,LIN Shiling,SONG Lei,et al.Elastic Registration of Medical Image Using B-Spline[J].Journal of Biomedical Engineering Research,2017,03:213-217.
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基于B样条的医学图像弹性配准*(PDF)

《生物医学工程研究》[ISSN:1006-6977/CN:61-1281/TN]

期数:
2017年03期
页码:
213-217
栏目:
出版日期:
2017-09-25

文章信息/Info

Title:
Elastic Registration of Medical Image Using B-Spline
文章编号:
1672-6278 (2017)03-0213-05
作者:
宋湘芬林仕令宋磊李文△
广西医科大学 基础医学院,广西 南宁 530021
Author(s):
SONG Xiangfen LIN Shiling SONG Lei LI Wen
School of Preclinical Medicine, Guangxi Medical University, Nanning 530021,Guangxi China
关键词:
弹性配准B样条自由形变梯度下降法SSD测度
Keywords:
Elastic registration B-Spline Free-form deformation Gradient descent measure Sum of squared differences measure
分类号:
R318
DOI:
10.19529/j.cnki.1672-6278.2017.03.05
文献标识码:
A
摘要:
为解决医学图像上的形变和偏移,本研究采用基于B样条自由形变的配准方法。建立一个由控制点组成的网格,并将其套用在待配准图像上,得到初始控制网格参数。以梯度下降法为优化算法,以SSD测度为相似性测度,不断修正该参数,参数的改变将引起控制点最近邻4×4控制网格内所有的像素点发生移动,移动后的坐标位置由B样条拟合得到。以双线性插值为插值算法,计算出该位置的灰度值,该位置相对于配准后图像,等同于像素点移动前的位置映射到参考图像相对应的位置,当配准后图像与参考图像对应位置的灰度差异度达到最小时,就达到图像的最佳配准。实验结果表明,该算法配准结果满意,从而验证了本研究算法的有效性。
Abstract:
In order to solve deformation or deviation on medical image, Free-form Deformation (FFD) based on the B-Spline was used as the registration algorithm, which established a grid consisting of control points that is applied to the moving image to obtain the initial control grid parameters. Gradient descent measure was used as the optimize algorithm and sum of squared differences measure was used as the similarity measure to revise the parameters constantly. The change of parameters would cause pixel points in the nearest 4×4 unit control grids to move and the coordinate position after moving were gotten by B-Spline interpolation. Bilinear interpolation was used as the interpolation algorithm to calculate the grayscale value in the position. The position in the moved image relatively was equivalent to that in the fixed image mapped by the pixel point before moving. It would get best image registration result when the gray difference degree reached the minimum between the two corresponding positions respectively in the moved image and fixed image. Experiment results shows that it can get satisfactory registration result, thus verify the algorithm in this paper is effective.

参考文献/References

备注/Memo

备注/Memo:
(收稿日期:2016-11-20) 广西医科大学青年基金资助项目(GXMUYSF201340)。△通信作者Email:vivien030832@163.com
更新日期/Last Update: 2017-09-25