Journal of Shanghai Jiao Tong University (Science) ›› 2019, Vol. 24 ›› Issue (2): 226-232.doi: 10.1007/s12204-019-2056-8

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Deformable Registration of Chest Radiographs Using B-spline Based Method with Modified Residual Complexity

Deformable Registration of Chest Radiographs Using B-spline Based Method with Modified Residual Complexity

XIANG Zhikang (相志康), LI Min* (李敏), XIAO Liang (肖亮), LIAN Zhichao (练智超), WEI Zhihui (韦志辉)   

  1. (School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China)
  2. (School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China)
  • Online:2019-04-30 Published:2019-04-01
  • Contact: LI Min* (李敏) E-mail: ml025@njust.edu.cn

Abstract: Accurate registration of chest radiographs plays an increasingly important role in medical applications. However, most current intensity-based registration methods rely on the assumption of intensity conservation that is not suitable for alignment of chest radiographs. In this study, we propose a novel algorithm to match chest radiographs, for which the conventional residual complexity (RC) is modified as the similarity measure and the cubic B-spline transformation is adopted for displacement estimation. The modified similarity measure is allowed to incorporate the neighborhood influence into variation of intensity in a justified manner of the weight, while the transformation is implemented with a registration framework of pyramid structure. The results show that the proposed algorithm is more accurate in registration of chest radiographs, compared with some widely used methods such as the sum-of-squared-differences (SSD), correlation coefficient (CC) and mutual information (MI) algorithms, as well as the conventional RC approaches.

Key words: deformable registration| chest radiograph| residual complexity (RC)| B-spline

摘要: Accurate registration of chest radiographs plays an increasingly important role in medical applications. However, most current intensity-based registration methods rely on the assumption of intensity conservation that is not suitable for alignment of chest radiographs. In this study, we propose a novel algorithm to match chest radiographs, for which the conventional residual complexity (RC) is modified as the similarity measure and the cubic B-spline transformation is adopted for displacement estimation. The modified similarity measure is allowed to incorporate the neighborhood influence into variation of intensity in a justified manner of the weight, while the transformation is implemented with a registration framework of pyramid structure. The results show that the proposed algorithm is more accurate in registration of chest radiographs, compared with some widely used methods such as the sum-of-squared-differences (SSD), correlation coefficient (CC) and mutual information (MI) algorithms, as well as the conventional RC approaches.

关键词: deformable registration| chest radiograph| residual complexity (RC)| B-spline

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