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Proceedings Paper

Artifacts reduction method in 4DCBCT based on a weighted demons registration framework
Author(s): Shaohua Zhi; Bangliang Jiang; Marc Kachelrieß; Xuanqin Mou
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Paper Abstract

Motion blurring artifacts in CBCT can be alleviated by providing a sequence of phase-depended images through 4DCBCT technique. However, it introduces streaking artifacts due to the under-sampled projection problem for each phase. One possible solution is to use deformable registration algorithms to estimate the deformation vector fields (DVF) between different phase-depended images. Among them, the optical flow based Demons registration method is a major technique due to its simplicity and efficiency. However, current Demons algorithms still suffer from relative low registration precision due to only using gradient information of images to calculate the DVFs in different directions. To improve the registration precision, we took the interaction between the DVFs calculated in Demons process into account and then proposed a weighted Demons registration method. In this method, a joint distribution of the gradient magnitude and Laplace of Gaussian (GM-LoG) signal which could represent the edge features of magnitude and orientation was introduced. Such a joint distribution could be used to guide the calculation of DVF to preserve the more detailed features and topology structure of the image during the registration process. Both simulation and real data experiments have been carried out to verify the performance of our method. In specific, the image quality has been improved regarding to distinct features, especially in regions of interest of moving tissues. Quantitative evaluations were shown in terms of the rooted mean square error (RMSE) and correlation coefficient (CC) are achieved by our method when compared with existing single Demons method and double Demons method, respectively.

Paper Details

Date Published: 28 May 2019
PDF: 5 pages
Proc. SPIE 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 110722R (28 May 2019); doi: 10.1117/12.2534489
Show Author Affiliations
Shaohua Zhi, Xi'an Jiaotong Univ. (China)
Bangliang Jiang, Xi'an Jiaotong Univ. (China)
Marc Kachelrieß, German Cancer Research Ctr. (DKFZ) (Germany)
Xuanqin Mou, Xi'an Jiaotong Univ. (China)

Published in SPIE Proceedings Vol. 11072:
15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine
Samuel Matej; Scott D. Metzler, Editor(s)

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