Fast modified Self-organizing Deformable Model: Geometrical feature-preserving mapping of organ models onto target surfaces with various shapes and topologies.
Fast modified Self-organizing Deformable Model: Geometrical feature-preserving mapping of organ models onto target surfaces with various shapes and topologies.
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DOI：
10.1016/j.cmpb.2018.01.028
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发表时间：
2018-04
影响因子：
6.1
通讯作者：
Shoko Miyauchi;K. Morooka;Tokuo Tsuji;Yasushi Miyagi;Takaichi Fukuda;R. Kurazume
中科院分区：
文献类型：
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作者：
Shoko Miyauchi;K. Morooka;Tokuo Tsuji;Yasushi Miyagi;Takaichi Fukuda;R. Kurazume
背景与目的本文提出了一种将人体器官的表面模型映射到与器官同属的目标表面上的新方法。方法在所提出的方法中，称为改进的自组织可变形模型（mSDM），映射问题被公式化为目标函数的最小化，该目标函数被定义为四个能量函数的加权线性组合：模型适应性、无折叠、地标映射精度和几何特征保留。结果通过对不同孔数的器官模型的映射结果分析，可以看出Fast mSDM算法能够有效、稳定地将器官模型映射到目标表面上，并且在保持几何特征的前提下不会出现折叠现象。结论Fast mSDM算法能够有效、稳定地将器官模型映射到目标表面上，并且适用于包括统计形状模型的医学应用。
Background and ObjectiveThis paper proposes a new method for mapping surface models of human organs onto target surfaces with the same genus as the organs.MethodsIn the proposed method, called modified Self-organizing Deformable Model (mSDM), the mapping problem is formulated as the minimization of an objective function which is defined as the weighted linear combination of four energy functions: model fitness, foldover-free, landmark mapping accuracy, and geometrical feature preservation. Further, we extend mSDM to speed up its processes, and call it Fast mSDM.ResultsFrom the mapping results of various organ models with different number of holes, it is observed that Fast mSDM can map the organ models onto their target surfaces efficiently and stably without foldovers while preserving geometrical features.ConclusionsFast mSDM can map the organ model onto the target surface efficiently and stably, and is applicable to medical applications including Statistical Shape Model.