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| 基于4D-CT最大呼吸气相位图像获取三维肺通气的信息 | |
| 引用本文： | 张国前,张书旭,余 辉,林生趣,谭剑明,韩鹏慧,王琳婧. 基于4D-CT最大呼吸气相位图像获取三维肺通气的信息[J]. 中国组织工程研究, 2012, 16(52): 9807-9812. DOI: 10.3969/j.issn.2095-4344.2012.52.023 |
| 作者姓名： | 张国前 张书旭 余 辉 林生趣 谭剑明 韩鹏慧 王琳婧 |
| 作者单位： | 广州医学院附属肿瘤医院放疗中心,广东省广州市 510095 |
| 摘 要： | 背景：传统的肺功能成像技术存在诸多不便,利用4D-CT中蕴含的通气信息进行功能图像的快速提取对肺部疾病的诊断和治疗有非常重要的意义。目的：探讨基于三维变形图像配准算法从4D-CT最大吸气相位和最大呼气相位图像中获取肺通气的三维分布的可行性。方法：利用电影模式采集自由呼吸状态下的胸部CT图像并利用已开发的4D-CT软件进行四维重建,得到吸气末和呼气末双相位CT图像,依次进行肺组织分割、利用基于体积的变形图像配准算法进行三维图像配准、量化分析三维空间象素的位移矢量,最后得到通气度量图即肺功能区的三维分布图。结果与结论：利用三维变形图像配准算法,实现了从4D-CT最大吸气相位和最大呼气相位图像中获取在任意横断位、冠状位和矢状位的肺通气分布。 |
| 关 键 词： | 肺功能 通气成像 变形配准 雅克比行列式 4D-CT |
| 收稿时间： | 2012-05-05 |
Three-dimensional pulmonary ventilation imaging based on four-dimensional computed tomography at peak-exhale and peak-inhale phases |
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| Zhang Guo-qian,Zhang Shu-xu,Yu Hui,Lin Sheng-qu,Tan Jian-ming,Han Peng-hui,Wang Lin-jing. Three-dimensional pulmonary ventilation imaging based on four-dimensional computed tomography at peak-exhale and peak-inhale phases[J]. Chinese Journal of Tissue Engineering Research, 2012, 16(52): 9807-9812. DOI: 10.3969/j.issn.2095-4344.2012.52.023 | |
| Authors: | Zhang Guo-qian Zhang Shu-xu Yu Hui Lin Sheng-qu Tan Jian-ming Han Peng-hui Wang Lin-jing |
| Affiliation: | Department of Radiotherapy, Guangzhou Medical University Cancer Institute and Hospital, Guangzhou 510095, Guangdong Province, China |
| Abstract: | BACKGROUND:Traditional pulmonary functional imaging techniques have great inconvenience. Using the ventilation information in four-dimensional computed tomography to rapidly obtain the pulmonary functional imaging has important value for the diagnosis and treatment of lung diseases.OBJECTIVE:To investigate the feasibility of getting the pulmonary ventilation imaging distribution based on paired four-dimensional computed tomography images at the peak-exhale and peak-inhale phases by means of three-dimensional deformable image registration.METHODS:The computed tomography data of thoracic undergoing free breathing were acquired in Cine mode, and the previously developed four-dimensional computerized tomography software was used for the four-dimensional reconstruction. Computed tomography images at the peak-exhale and peak-inhale phases were obtained, the process of lung segmentation, three dimensional image registration based on deformable image registration algorithm, and quantization analysis of three-dimensional pixel displacement vector were in progress, and the regional ventilation images were obtained finally.RESULTS AND CONCLUSION:By means of three-dimensional deformable image registration, the goal that extracting pulmonary ventilation images include transverse, coronal and sagittal based on paired four-dimensional computed tomography at the peak-exhale and peak-inhale phases was realized. |
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