摘要
目的 :实现颅颌面CT MR医学图像的配准。材料和方法 :基于轮廓特征的奇异值分解 迭代最近点法 (SingularValueDecomposition IterativeClosestPoint ,SVD ICP)。结果 :该配准操作简便、图像满意、可靠性好 ,尚可以用于任意维度向量集合的匹配。结论 :在临床实践中颅颌面CT MR医学图像的配准是可行的 。
Purpose: To achieve the registration of cranio jaw facial CT and MR image. Materials and Methods: The SVD ICP (Singular Value Decomposition Iterative Closest Poing) method based on contour feature was used. Results: The registration was operated easily, its images were satisfactory and its reliability was good. Meanwhile, It was in fact an appropriate solution to match any dimension space points. Conclusion: In clinical practice, the registration of cranio jaw facial CT and MR image is feasible. It provides the basis of further image fusion.
出处
《中国医学影像学杂志》
CSCD
2002年第2期123-125,共3页
Chinese Journal of Medical Imaging
基金
国家自然科学基金资助 (项目号 3990 0 1 65)