Chinese Journal of Tissue Engineering Research ›› 2012, Vol. 16 ›› Issue (52): 9807-9812.doi: 10.3969/j.issn.2095-4344.2012.52.023

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Three-dimensional pulmonary ventilation imaging based on four-dimensional computed tomography at peak-exhale and peak-inhale phases

Zhang Guo-qian, Zhang Shu-xu, Yu Hui, Lin Sheng-qu, Tan Jian-ming, Han Peng-hui, Wang Lin-jing   

  1. Department of Radiotherapy, Guangzhou Medical University Cancer Institute and Hospital, Guangzhou 510095, Guangdong Province, China
  • Received:2012-05-05 Revised:2012-07-09 Online:2012-12-23 Published:2012-12-23
  • Contact: Zhang Shu-xu, Doctor, Professor, Chief technician, Doctoral supervisor, Department of Radiotherapy, Guangzhou Medical University Cancer Institute and Hospital, Guangzhou 510095, Guangdong Province, China gthzsx@163.com
  • About author:Zhang Guo-qian★, Studying for master's degree, Department of Radiotherapy, Guangzhou Medical University Cancer Institute and Hospital, Guangzhou 510095, Guangdong Province, China zgqcc@126.com

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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