Fast modified Self-organizing Deformable Model: Geometrical feature-preserving mapping of organ models onto target surfaces with various shapes and topologies

Computer Methods and Programs in Biomedicine
Shoko MiyauchiRyo Kurazume

Abstract

This paper proposes a new method for mapping surface models of human organs onto target surfaces with the same genus as the organs. In 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. From 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. Fast mSDM can map the organ model onto the target surface efficiently and stably, and is applicable to medical applications including Statistical Shape Model.

References

Sep 2, 2004·IEEE Transactions on Medical Imaging·Xianfeng GuShing-Tung Yau
Mar 27, 2007·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·Hidefumi Kobatake
Jan 30, 2008·Medical Image Analysis·Frithjof Kruggel
Jun 16, 2009·Medical Image Analysis·Tobias Heimann, Hans-Peter Meinzer
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Sep 21, 2013·IEEE Transactions on Visualization and Computer Graphics·Xin ZhaoFeng Luo
Oct 7, 2015·IEEE Transactions on Pattern Analysis and Machine Intelligence·Zhengyu SuXianfeng Gu

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