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运动配准先验图像的4D-CBCT优质重建

陈美玲 黄毅 陈武凡 陈歆 张华

南方医科大学学报2019,Vol.39Issue(2):201-206,6.
南方医科大学学报2019,Vol.39Issue(2):201-206,6.DOI:10.12122/j.issn.1673-4254.2019.09.12

运动配准先验图像的4D-CBCT优质重建

High-quality reconstruction of four-dimensional cone beam CT from motion registration prior image

陈美玲 1黄毅 2陈武凡 1陈歆 2张华1

作者信息

  • 1. 重庆医科大学第二附属医院设备处, 重庆 400010
  • 2. 南方医科大学生物医学工程学院-广东省医学图像处理重点实验室, 广东 广州 510515
  • 折叠

摘要

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.

关键词

四维锥束CT/运动伪影/先验图像/PICCS算法

Key words

four-dimensional cone beam CT/motion artifact/prior image/prior image constrained compressed sensing algorithm

引用本文复制引用

陈美玲,黄毅,陈武凡,陈歆,张华..运动配准先验图像的4D-CBCT优质重建[J].南方医科大学学报,2019,39(2):201-206,6.

基金项目

国家自然科学基金 (81501466) (81501466)

广东省自然科学基金 (2015A030310018) (2015A030310018)

广州市科技计划项目 (201710010099) (201710010099)

南方医科大学学报

OA北大核心CSCDCSTPCD

1673-4254

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