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

doi:10.1007/s12204-019-2056-8

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

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)

(School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China)

出版日期:2019-04-30 发布日期:2019-04-01
通讯作者: LI Min* (李敏) E-mail: ml025@njust.edu.cn

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)

(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

摘要/Abstract

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

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

中图分类号:

TP 399

XIANG Zhikang (相志康), LI Min* (李敏), XIAO Liang (肖亮), LIAN Zhichao (练智超), WEI Zhih. Deformable Registration of Chest Radiographs Using B-spline Based Method with Modified Residual Complexity[J]. Journal of Shanghai Jiao Tong University (Science), 2019, 24(2): 226-232.

XIANG Zhikang (相志康), LI Min* (李敏), XIAO Liang (肖亮), LIAN Zhichao (练智超), WEI Zhihui (韦志辉). Deformable Registration of Chest Radiographs Using B-spline Based Method with Modified Residual Complexity[J]. Journal of Shanghai Jiao Tong University (Science), 2019, 24(2): 226-232.

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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

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