Abstract：Objective To obtain 3D distribution images of pulmonary ventilation based on 4D-CT and deformation image registration (DIR). Methods The 4D-CT data sets were acquired with patients in free-breathing. 3D displacement vector field (DVF) of two different phase 4D-CT image pairs was calculated out by using 3D B-spline DIR algorithms, which was converted to Jacobian determinant. Then, the axial section of grayscale ventilation was obtained by quantitative analysis of the determinant. The pseudo-color was put on the axial grayscale ventilation before fused with the reference CT images. And based on the axial ventilation, the coronal and sagittal sections of ventilations can be reconstructed. Thus, 3D visualization ventilations have been implemented. The contours of the ventilation regions with different Jacobian values were delineated and the volumes of them were calculated. Results Based on 4D-CT images of patients in free-breathing and multi-resolution 3D B-spline DIR, the 3D visualization ventilation can be easily obtained and quantified. The volume change of lung is significantly related with the volume of different ventilation regions at level 0.05 (bilateral). Conclusion It is simple, convenient and feasible to obtain the 3D distribution of pulmonary ventilation based on the 4D-CT images and 3D B-spline DIR.
张书旭，余辉，林生趣，张国前，王锐濠，齐斌. 基于4D-CT和变形图像配准获取肺通气功能的三维分布[J]. 中国医疗设备, 2013, 28(11): 19-22.
ZHANG Shu-xu, YU Hui, LIN Sheng-qu, ZHANG Guo-qian, WANG Rui-hao, QI Bin. Study on 3D Distribution of Pulmonary Ventilation Based on 4D-CT and Deformation Image Registration. China Medical Devices, 2013, 28(11): 19-22.
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