公开(公告)号：US09042620B2

公开(公告)日：2015-05-26

申请号：US13416508

申请日：2012-03-09

申请人： Timo Kohlberger ,  Michal Sofka ,  Jens Wetzl ,  Jingdan Zhang ,  Shaohua Kevin Zhou ,  Neil Birkbeck ,  Jerome Declerck ,  Jens Kaftan

发明人： Timo Kohlberger ,  Michal Sofka ,  Jens Wetzl ,  Jingdan Zhang ,  Shaohua Kevin Zhou ,  Neil Birkbeck ,  Jerome Declerck ,  Jens Kaftan

IPC分类号： G06K9/00 ,  G06T7/00 ,  G06K9/62

CPC分类号： G06T7/0083 ,  G06K9/6209 ,  G06T7/12 ,  G06T2207/10081 ,  G06T2207/20081 ,  G06T2207/20161 ,  G06T2207/30048 ,  G06T2207/30084

摘要： A method and system for automatic multi-organ segmentation in a 3D image, such as a 3D computed tomography (CT) volume using learning-base segmentation and level set optimization is disclosed. A plurality of meshes are segmented in a 3D medical image, each mesh corresponding to one of a plurality of organs. A level set in initialized by converting each of the plurality of meshes to a respective signed distance map. The level set optimized by refining the signed distance map corresponding to each one of the plurality of organs to minimize an energy function.

摘要翻译： 公开了一种3D图像自动多器官分割的方法和系统，例如使用学习型基础分割和级别集优化的3D计算机断层摄影（CT）体积。 在3D医学图像中分割多个网格，每个网格对应于多个器官中的一个。 通过将多个网格中的每一个转换为相应的带符号距离图来初始化的级别。 通过精化对应于多个器官中的每一个的有符号距离图来最优化能量函数来优化的级别集合。

公开(公告)号：US10416257B2

公开(公告)日：2019-09-17

申请号：US15437969

申请日：2017-02-21

申请人： Jens Wetzl ,  Christoph Forman ,  Peter Speier

发明人： Jens Wetzl ,  Christoph Forman ,  Peter Speier

IPC分类号： G01R33/48 ,  G01R33/567

摘要： A method for generating at least one acquisition template for an acquisition of magnetic resonance signals, an acquisition template generating unit, a magnetic resonance apparatus and a computer program product. At least one acquisition template is generated with an acquisition template generating unit. The at least one acquisition template has a plurality of spiral-like spokes in a k-space, each spoke having a plurality of spiral points.

公开(公告)号：US20170242086A1

公开(公告)日：2017-08-24

申请号：US15437969

申请日：2017-02-21

申请人： Jens Wetzl ,  Christoph Forman ,  Peter Speier

发明人： Jens Wetzl ,  Christoph Forman ,  Peter Speier

IPC分类号： G01R33/48 ,  G01R33/567

CPC分类号： G01R33/4824 ,  G01R33/4826 ,  G01R33/5673 ,  G01R33/5676

摘要： A method for generating at least one acquisition template for an acquisition of magnetic resonance signals, an acquisition template generating unit, a magnetic resonance apparatus and a computer program product. At least one acquisition template is generated with an acquisition template generating unit. The at least one acquisition template has a plurality of spiral-like spokes in a k-space, each spoke having a plurality of spiral points.

公开(公告)号：US20120230572A1

公开(公告)日：2012-09-13

申请号：US13416508

申请日：2012-03-09

申请人： Timo Kohlberger ,  Michal Sofka ,  Jens Wetzl ,  Jingdan Zhang ,  Shaohua Kevin Zhou ,  Neil Birkbeck ,  Jerome Declerck ,  Jens Kaftan

发明人： Timo Kohlberger ,  Michal Sofka ,  Jens Wetzl ,  Jingdan Zhang ,  Shaohua Kevin Zhou ,  Neil Birkbeck ,  Jerome Declerck ,  Jens Kaftan

IPC分类号： G06K9/34

CPC分类号： G06T7/0083 ,  G06K9/6209 ,  G06T7/12 ,  G06T2207/10081 ,  G06T2207/20081 ,  G06T2207/20161 ,  G06T2207/30048 ,  G06T2207/30084

摘要： A method and system for automatic multi-organ segmentation in a 3D image, such as a 3D computed tomography (CT) volume using learning-base segmentation and level set optimization is disclosed. A plurality of meshes are segmented in a 3D medical image, each mesh corresponding to one of a plurality of organs. A level set in initialized by converting each of the plurality of meshes to a respective signed distance map. The level set optimized by refining the signed distance map corresponding to each one of the plurality of organs to minimize an energy function.

摘要翻译： 公开了一种3D图像自动多器官分割的方法和系统，例如使用学习型基础分割和级别集优化的3D计算机断层摄影（CT）体积。 在3D医学图像中分割多个网格，每个网格对应于多个器官中的一个。 通过将多个网格中的每一个转换为相应的带符号距离图来初始化的级别。 通过精化对应于多个器官中的每一个的有符号距离图来最优化能量函数来优化的级别集合。