Anatomical Landmark Detection Using Nearest Neighbor Matching and Submodular Optimization
Anatomical Landmark Detection Using Nearest Neighbor Matching and Submodular Optimization
复制标题
使用最近邻匹配和子模优化进行解剖标志检测
DOI：
10.1007/978-3-642-33454-2_49
复制
发表时间：
2012
期刊：
影响因子：
--
通讯作者：
S. Zhou
中科院分区：
文献类型：
--
作者：
David Liu;S. Zhou
We present a two-stage method for effective and efficient detection of one or multiple anatomical landmarks in an arbitrary 3D volume. The first stage of nearest neighbor matching is to roughly estimate the landmark locations. It searches out of 100,000 volumes for the closest to an input volume and then transfers landmark annotations to the input. The second stage of submodular optimization is to refine the landmark locations by running discriminative landmark detectors within the search ranges constrained by the first stage results. Further it coordinates multiple detectors with a search strategy optimized on the fly to reduce the overall computation cost arising in a submodular formulation. We validate the accuracy, speed and robustness of our approach by detecting body regions and landmarks in a dataset of 2500 CT scans.
