Volume 8, Issue 2
Research on XRII Image Distortion Correction Based on Biharmonic Spline Surface Interpolation

Yuanjin Li, Huazhong Shu, Yang Chen, Tao Wang, Zuogang Yue & Yang Wang

Journal of Fiber Bioengineering & Informatics, 8 (2015), pp. 329-336.

Published online: 2015-08

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  • Abstract

X-Ray Image Intensifier (XRII) suffers from serve distortion in C-arm CT imaging system. To overcome the challenging problem, this paper proposes a novel XRII correction based on the Biharmonic Spline Surface Interpolation (BSSI) framework. In our study, two functions X_2 =f(X_1, Y_1) and Y_2 =f(X_1, Y_1) are first developed to map the relation between pixels positions in the distorted XRII image and reference image. A bilinear interpolation can then be applied to estimate the corrected pixel intensities to achieve the final image. The proposed approach can well overcome the discontinuities problems in local algorithms and achieve improved accuracy in distortion correction. Experiment results demonstrate that the proposed algorithm is capable of providing XRII images with higher correction precision than classical algorithms.

  • Keywords

C-arm CT XRII Image Biharmonic Spline Surface Interpolation (BSSI) Distortion Correction Correction Precision

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@Article{JFBI-8-329, author = {}, title = {Research on XRII Image Distortion Correction Based on Biharmonic Spline Surface Interpolation}, journal = {Journal of Fiber Bioengineering and Informatics}, year = {2015}, volume = {8}, number = {2}, pages = {329--336}, abstract = {X-Ray Image Intensifier (XRII) suffers from serve distortion in C-arm CT imaging system. To overcome the challenging problem, this paper proposes a novel XRII correction based on the Biharmonic Spline Surface Interpolation (BSSI) framework. In our study, two functions X_2 =f(X_1, Y_1) and Y_2 =f(X_1, Y_1) are first developed to map the relation between pixels positions in the distorted XRII image and reference image. A bilinear interpolation can then be applied to estimate the corrected pixel intensities to achieve the final image. The proposed approach can well overcome the discontinuities problems in local algorithms and achieve improved accuracy in distortion correction. Experiment results demonstrate that the proposed algorithm is capable of providing XRII images with higher correction precision than classical algorithms.}, issn = {2617-8699}, doi = {https://doi.org/10.3993/jfbim00102}, url = {http://global-sci.org/intro/article_detail/jfbi/4713.html} }
TY - JOUR T1 - Research on XRII Image Distortion Correction Based on Biharmonic Spline Surface Interpolation JO - Journal of Fiber Bioengineering and Informatics VL - 2 SP - 329 EP - 336 PY - 2015 DA - 2015/08 SN - 8 DO - http://doi.org/10.3993/jfbim00102 UR - https://global-sci.org/intro/article_detail/jfbi/4713.html KW - C-arm CT KW - XRII Image KW - Biharmonic Spline Surface Interpolation (BSSI) KW - Distortion Correction KW - Correction Precision AB - X-Ray Image Intensifier (XRII) suffers from serve distortion in C-arm CT imaging system. To overcome the challenging problem, this paper proposes a novel XRII correction based on the Biharmonic Spline Surface Interpolation (BSSI) framework. In our study, two functions X_2 =f(X_1, Y_1) and Y_2 =f(X_1, Y_1) are first developed to map the relation between pixels positions in the distorted XRII image and reference image. A bilinear interpolation can then be applied to estimate the corrected pixel intensities to achieve the final image. The proposed approach can well overcome the discontinuities problems in local algorithms and achieve improved accuracy in distortion correction. Experiment results demonstrate that the proposed algorithm is capable of providing XRII images with higher correction precision than classical algorithms.
Yuanjin Li, Huazhong Shu, Yang Chen, Tao Wang, Zuogang Yue & Yang Wang. (2019). Research on XRII Image Distortion Correction Based on Biharmonic Spline Surface Interpolation. Journal of Fiber Bioengineering and Informatics. 8 (2). 329-336. doi:10.3993/jfbim00102
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