PREDICTION OF SHAPES
    1.
    发明申请
    PREDICTION OF SHAPES 审中-公开
    形状预测

    公开(公告)号:US20160335776A1

    公开(公告)日:2016-11-17

    申请号:US15218067

    申请日:2016-07-24

    申请人: Materialise N.V.

    摘要: Systems and methods for predicting shape are provided. A system for predicting shape can include a database, a training analysis module, a subject analysis module, and a prediction module. The database can store two sets of training models characterized by first and second parameters, respectively (e.g., bone and cartilage), as well as a subject model characterized by the first parameter (e.g., a bone model). The relationships between these models can be determined by a training analysis module and a subject module. Based on these relationships, the prediction module can generate a predicted shape characterized by the second parameter (e.g., a predicted cartilage model corresponding to the bone model).

    摘要翻译: 提供了用于预测形状的系统和方法。 用于预测形状的系统可以包括数据库,训练分析模块,主题分析模块和预测模块。 数据库可以分别存储由第一和第二参数(例如,骨骼和软骨)表征的两组训练模型,以及以第一参数(例如,骨骼模型)为特征的对象模型。 这些模型之间的关系可以由训练分析模块和主题模块确定。 基于这些关系,预测模块可以生成由第二参数(例如,对应于骨骼模型​​的预测软骨模型)表征的预测形状。

    SYSTEM AND METHOD FOR CONSTRUCTING A STATISTICAL SHAPE MODEL
    2.
    发明申请
    SYSTEM AND METHOD FOR CONSTRUCTING A STATISTICAL SHAPE MODEL 有权
    用于构造统计形状模型的系统和方法

    公开(公告)号:US20160267352A1

    公开(公告)日:2016-09-15

    申请号:US15159541

    申请日:2016-05-19

    申请人: Materialise N.V.

    发明人: Joris VAN DEUN

    IPC分类号: G06K9/62 G06K9/48

    摘要: Systems and methods are provided for constructing a statistical shape model from a set of training shapes. In one embodiment, two shapes in the training set can be parameterized to a common base domain. Correspondence between the shapes can be evaluated using shape-specific data, such as, for the case of anatomical shapes, anatomical curves and/or anatomical landmarks. In evaluating correspondence, the shape-specific data about the second shape can be mapped to the shape-specific data about the first shape, and the mapping can be optimized based at least in part on a deformation energy of the mapping.

    摘要翻译: 提供了从一组训练形状构建统计形状模型的系统和方法。 在一个实施例中,训练集中的两个形状可被参数化为公共基本域。 形状之间的对应可以使用特定形状的数据来评估,例如对于解剖形状,解剖曲线和/或解剖标志的情况。 在评估对应时,关于第二形状的形状特定数据可以映射到关于第一形状的形状特定数据,并且可以至少部分地基于映射的变形能来优化映射。