High-quality reconstruction of four-dimensional cone beam CT from motion registration prior image.
10.12122/j.issn.1673-4254.2019.02.12
- Author:
Meiling CHEN
1
;
Yi HUANG
1
;
Wufan CHEN
2
;
Xin CHEN
1
;
Hua ZHANG
2
Author Information
1. Equipment Department, Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.
2. Department of Biomedical Engineering, Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou 510515, China.
- Publication Type:Journal Article
- Keywords:
four-dimensional cone beam CT;
motion artifact;
prior image;
prior image constrained compressed sensing algorithm
- MeSH:
Algorithms;
Cone-Beam Computed Tomography;
methods;
Four-Dimensional Computed Tomography;
Humans;
Image Processing, Computer-Assisted;
Organ Motion;
Radiographic Image Enhancement;
instrumentation;
methods;
Respiration
- From:
Journal of Southern Medical University
2019;39(2):201-206
- CountryChina
- Language:Chinese
-
Abstract:
Four-dimensional cone beam CT (4D-CBCT) imaging can provide accurate location information of real-time breathing for imaging-guided radiotherapy. How to improve the accuracy of 4D-CBCT reconstruction image is a hot topic in current studies. PICCS algorithm performs remarkably in all 4D-CBCT reconstruction algorithms based on CS theory. The improved PICCS algorithm proposed in this paper improves the prior image on the basis of the traditional PICCS algorithm. According to the location information of each phase, the corresponding prior image is constructed, which completely eliminates the motion blur of the reconstructed image caused by the mismatch of the projection data. Meanwhile, the data fidelity model of the proposed method is consistent with the traditional PICCS algorithm. The experimental results showed that the reconstructed image using the proposed method had a clearer organization boundary compared with that of images reconstructed using the traditional PICCS algorithm. This proposed method significantly reduced the motion artifact and improved the image resolution.
