3D/2D Registration via Skeletal Near Projective Invariance in Tubular Objects
3D/2D Registration via Skeletal Near Projective Invariance in Tubular Objects
复制标题
通过管状物体的骨骼近投影不变性进行 3D/2D 配准
DOI：
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发表时间：
1998
期刊：
影响因子：
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通讯作者：
S. Pizer
中科院分区：
文献类型：
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作者：
Alan Liu;E. Bullitt;S. Pizer
提出了一种三维/二维图像配准方法。该算法基于管状目标的近射影不变性。管状解剖结构的骨架（例如，脑内血管）被用作配准原语。磁共振血管造影（MRA）患者研究以及模拟和实际x射线血管造影实验表明，该算法具有很高的准确性和鲁棒性。该算法只需要少量的原语。此外，该算法对管状结构的选择相对不敏感。包括证明这些主张的实验结果。
We present a method of 3D/2D image registration. The algorithm is based on the property of near projective invariance in tubular objects. The skeletons of tubular anatomical structures (e.g., intracerebral blood vessels) are used as registration primitives. Experiments with Magnetic Resonance Angiogram (MRA) patient studies and both simulated and actual X-ray angiograms suggest that the algorithm is very accurate and robust. The algorithm requires only a small number of primitives. In addition, the algorithm is relatively insensitive to the choice of tubular structures used. Experimental results justifying these claims are included.
在存在误差的情况下，根据成对的投影视图对曲线进行三维重建。
影响因子：
3.8
作者：
Bullitt,E;Liu,A;Pizer,SM
通讯作者：
Pizer,SM