公开(公告)号：US09262685B2

公开(公告)日：2016-02-16

申请号：US14093866

申请日：2013-12-02

Applicant: Samsung Electronics Co., Ltd.

Inventor： Young-kyoo Hwang ,  Na-hyup Kang ,  Do-kyoon Kim ,  Jung-bae Kim ,  Young-taek Oh ,  Hyong-euk Lee

IPC: G06T15/00 ,  G06K9/46 ,  G06K9/62 ,  G06T7/00 ,  A61B8/08 ,  A61B8/00

CPC classification number: G06K9/4604 ,  A61B8/44 ,  A61B8/483 ,  G06K9/6206 ,  G06K2209/05 ,  G06T7/12 ,  G06T7/149 ,  G06T7/344 ,  G06T2207/10136 ,  G06T2207/20124 ,  G06T2207/30096 ,  G06T2207/30101

Abstract: Provided is a method of generating a model, the method including generating a first model representing a change in the location or the shape of the region of interest during the respiration cycle, using diagnostic images that are obtained at two points of time in the respiration cycle and that represent the region of interest; extracting shape information of one or more tissues included in the region of interest at a shape information extractor, using a 3D ultrasound image that is obtained at one point of time in the respiration cycle; determining a characteristic point of the 3D ultrasound image corresponding to a characteristic point of the first model by matching the first model with the extracted shape information; and generating a second model by updating the first model with the determined characteristic point.

Abstract translation: 提供了一种生成模型的方法，该方法包括使用在呼吸循环中的两个时间点获得的诊断图像来生成表示呼吸周期内的感兴趣区域的位置或形状的变化的第一模型 代表感兴趣的地区; 使用在呼吸循环中的一个时间点获得的3D超声图像，在形状信息提取器中提取包含在感兴趣区域中的一个或多个组织的形状信息; 通过将所述第一模型与所提取的形状信息进行匹配来确定与所述第一模型的特征点相对应的所述3D超声图像的特征点; 以及通过用所确定的特征点更新所述第一模型来生成第二模型。

公开(公告)号：US09953109B2

公开(公告)日：2018-04-24

申请号：US14825755

申请日：2015-08-13

Applicant: Samsung Electronics Co., Ltd.

Inventor： Nahyup Kang ,  Jiyeon Kim ,  Hyong-euk Lee ,  Hwiryong Jung

IPC: G06G7/48 ,  G06F17/50 ,  G06F17/10

CPC classification number: G06F17/50 ,  G06F17/10 ,  G06F17/5009 ,  G06F2217/16

Abstract: Provided is a method and apparatus for modeling objects that may include detecting an adjacent area that shares modeled particles of a first object and modeled particles of a second object, calculating an action force between the first object and the second object in the adjacent area based on information stored for grid points of a grid defined with respect to the adjacent area, and modelling the first object and the second object based on the calculated action force.