Abstract：Objective To propose a rigid registration method of CT-MRI 3D/3D based on surface feature points (method 1 ) and
a rigid registration method of CT-MRI 3D/3D based on surface contour point cloud ( method 2 ), to provide the necessary basis
for image fusion scenes required by clinic, such as the sketch of head tumor target area. Methods After 3D surface rendering and
reconstruction of CT and MRI image sequences using the open-source graphic application library Visualization Toolkit (VTK), facial
feature points were picked up and registered with the 3D feature point set based on the iterative nearest point algorithm. In order to
reduce the human interference in picking up the feature points, a method was further proposed which extracted the face contour of 2D
image and reconstructed it to face feature point cloud, limited the registration interval, the effectiveness of two registration methods
were compared. Results After evaluation from multiple angles, method 1 had a lower Dice score compared to method 2 due to the
error in manually picking feature points. Compared with other registration methods, the root mean square error values of the two
registration methods were lower, and the performance of the method 2 was more prominent. The two methods had good performance
in registration accuracy, robustness, inverse consistency and registration speed. Conclusion The advantages of method 1 were mainly
reflected in the registration speed, and the advantages of method 2 were mainly reflected in the registration accuracy. Both methods
have good performance in terms of robustness and inverse consistency. Both methods can get good registration results, which is of
great positive value for the accurate diagnosis of head tumors or the formulation of appropriate treatment plans.
和陆兴，和树仁，何炳春，和秋遇，贺建林. 基于面部区域的CT与MRI影像的3D/3D配准[J]. 中国医疗设备, 2023, 38(11): 73-80.
HE Luxing, HE Shuren, HE Bingchun, HE Qiuyu, HE Jianlin. 3D/3D Registration of CT and MRI Image Based on Face Region. China Medical Devices, 2023, 38(11): 73-80.
