In spine operations, an effective 2 D/3 D registration is of great importance yet a challenging task. Traditional2 D/3 D registration approach projects 3 D data to a 2 D plan then conducts a 2 D/2 D registration. It is difficult to obtain both high accuracy and good real-time performance, because the projection space has 3 translation and 3 rotation degrees of freedom and its complexity O(n6). In this paper we propose a method which combines machine learning strategy with geometric transformation. We build ...
引用格式陈智强,王作伟,方龙伟,菅凤增,吴毅红,李硕,何晖光.基于机器学习和几何变换的实时2D/3D脊椎配准.自动化学报,2018,44(7):1183-1194Real-time 2D/3D Registration of Vertebra via Machine Learning andGeometric TransformationCHEN Zhi-Qiang1,2WANG Zuo-Wei3,4FANG L
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