公开(公告)号：US20150164366A1

公开(公告)日：2015-06-18

申请号：US14419961

申请日：2012-08-09

Applicant: Brainlab AG

Inventor： Rainer Lachner ,  Andreas Blumhofer

IPC: A61B5/055 ,  G06F19/00 ,  A61B5/00

CPC classification number: A61B5/055 ,  A61B5/4893 ,  A61B5/7275 ,  G06F19/34 ,  G06T7/11 ,  G06T2207/10092 ,  G06T2207/20128 ,  G06T2207/30016

Abstract: A data processing method for determining a path of a neural fibre in a patient, comprising the steps of: a) acquiring an atlas dataset representing an atlas of a fibrous structure comprising the neural fibre b) acquiring a nerve indicating dataset comprising information suitable for identifying the neural fibre in the patient c) calculating a matched atlas dataset by registering the atlas dataset with the nerve indicating dataset d) obtaining a generic path of the neural fibre from the matched atlas dataset e) defining a constraining volume in the patient around the generic path, the constraining volume having at least two end surfaces on which the generic path ends and f) determining the path of the neural fibre between end surfaces using a probabilistic approach, wherein the determined path lies completely within the constraining volume.

Abstract translation: 一种用于确定患者中的神经纤维的路径的数据处理方法，包括以下步骤：a）获取表示包含所述神经纤维的纤维结构的图集的图谱数据集b）获取神经指示数据集，其包含适于识别的信息 患者中的神经纤维c）通过将图谱数据集与神经指示数据集注册来计算匹配的图集数据集d）从匹配的图集数据集获得神经纤维的通用路径e）在通用的定义周围的患者中定义约束体积 所述约束体积具有至少两个端面，所述通用路径终止于所述至少两个端面，以及f）使用概率方法确定所述神经纤维在端面之间的路径，其中所确定的路径完全位于约束体积内。

公开(公告)号：US11741614B2

公开(公告)日：2023-08-29

申请号：US17579245

申请日：2022-01-19

Applicant: Brainlab AG

Inventor： Rainer Lachner ,  Katrin Unterlindner

IPC: G06T7/00 ,  G06T7/62 ,  G06T7/12 ,  G06T7/30 ,  G06T7/70 ,  A61N5/10 ,  G06V10/44 ,  G06V10/75

CPC classification number: G06T7/12 ,  A61N5/1049 ,  G06T7/0012 ,  G06T7/30 ,  G06T7/62 ,  G06T7/70 ,  G06V10/443 ,  G06V10/755 ,  G06T2207/20128 ,  G06T2207/30016 ,  G06T2207/30101

Abstract: Disclosed is a computer-implemented method of determining one or more position and/or orientation parameters of an anatomical structure of a body portion. The anatomical structure has a longitudinal shape defining a longitudinal axis. The method includes generating and/or reading, by a data processing system, volumetric data of at least a portion of a subject. The method further includes generating and/or reading, by the data processing system, a deformable template which provides an estimate for a location of the longitudinal axis in the portion of the subject. The method further includes matching, by the data processing system, the deformable template to the volumetric data, thereby obtaining a matched template. The matching comprises using one or more internal energy functions and one or more external energy functions for optimizing an objective function. The method further includes determining, by the data processing system, the at least one position and/or orientation parameter based on the matched template.

公开(公告)号：US20220138980A1

公开(公告)日：2022-05-05

申请号：US17579245

申请日：2022-01-19

Applicant: Brainlab AG

Inventor： Rainer Lachner ,  Katrin Unterlindner

IPC: G06T7/70 ,  G06T7/62 ,  G06T7/30 ,  A61N5/10 ,  G06T7/00 ,  G06V10/44 ,  G06V10/75

Abstract: Disclosed is a computer-implemented method of determining one or more position and/or orientation parameters of an anatomical structure of a body portion. The anatomical structure has a longitudinal shape defining a longitudinal axis. The method includes generating and/or reading, by a data processing system, volumetric data of at least a portion of a subject. The method further includes generating and/or reading, by the data processing system, a deformable template which provides an estimate for a location of the longitudinal axis in the portion of the subject. The method further includes matching, by the data processing system, the deformable template to the volumetric data, thereby obtaining a matched template. The matching comprises using one or more internal energy functions and one or more external energy functions for optimizing an objective function. The method further includes determining, by the data processing system, the at least one position and/or orientation parameter based on the matched template.

公开(公告)号：US11244472B2

公开(公告)日：2022-02-08

申请号：US16932349

申请日：2020-07-17

Applicant: Brainlab AG

Inventor： Rainer Lachner ,  Katrin Unterlindner

IPC: G06T7/30 ,  G06T7/149 ,  G06T7/70 ,  G06T7/62 ,  A61N5/10 ,  G06K9/46 ,  G06K9/62 ,  G06T7/00

Abstract: Disclosed is a computer-implemented method of determining one or more position and/or orientation parameters of an anatomical structure of a body portion. The anatomical structure has a longitudinal shape defining a longitudinal axis. The method includes generating and/or reading, by a data processing system, volumetric data of at least a portion of a subject. The method further includes generating and/or reading, by the data processing system, a deformable template which provides an estimate for a location of the longitudinal axis in the portion of the subject. The method further includes matching, by the data processing system, the deformable template to the volumetric data, thereby obtaining a matched template. The matching comprises using one or more internal energy functions and one or more external energy functions for optimizing an objective function. The method further includes determining, by the data processing system, the at least one position and/or orientation parameter based on the matched template.

公开(公告)号：US20180158547A1

公开(公告)日：2018-06-07

申请号：US15819995

申请日：2017-11-21

Applicant: Brainlab AG

Inventor： Rainer Lachner ,  Rowena Thomson ,  Christina von Freyberg

IPC: G16H30/40 ,  G06T7/00 ,  G06T7/136 ,  G06T7/11 ,  G06T7/174 ,  G06T5/00 ,  G06T5/20 ,  G06T7/60 ,  G06T7/187

CPC classification number: G16H30/40 ,  G06T5/002 ,  G06T5/20 ,  G06T7/001 ,  G06T7/0012 ,  G06T7/11 ,  G06T7/136 ,  G06T7/174 ,  G06T7/187 ,  G06T7/60 ,  G06T2207/10096 ,  G06T2207/20128 ,  G06T2207/20156 ,  G06T2207/20224 ,  G06T2207/30016 ,  G06T2207/30096

Abstract: A data processing method for determining an enhancing structure of interest within an anatomical body part, wherein the structure of interest exhibits an enhanced signal in an image of the anatomical body part generated by a medical imaging method using a contrast agent, said method being designed to be performed by a computer and comprising a region growing algorithm.

公开(公告)号：US20160232655A1

公开(公告)日：2016-08-11

申请号：US15024542

申请日：2013-09-30

Applicant: BRAINLAB AG

Inventor： Rainer Lachner ,  Bálint Varkuti ,  Andreas Blumhofer

IPC: G06T7/00

CPC classification number: G06T7/337 ,  G06T7/344 ,  G06T2207/10072 ,  G06T2207/10116 ,  G06T2207/20128 ,  G06T2207/20221 ,  G06T2207/30012 ,  G06T2207/30016

Abstract: A medical data processing method of determining a virtual image (2) of a part of a patient's body (4), the method being constituted to be executed by a computer and comprising the following steps: a) acquiring (S1) patient image data describing at least two two-dimensional patient images (1) of anatomical body parts (3) of the patient's body (4); b) acquiring (S2) atlas data describing a general structure (5) of at least part of the patient's body comprising correspondence parts corresponding to the anatomical body parts (3); c) acquiring correspondence part position data describing the positions of the correspondence parts in the general structure (5); determining (S4.1, S4.2, S4.3), based on the patient image data and the atlas data and the correspondence part position data, virtual image data describing a two-dimensional virtual image (2) of a part (21, 22) of the general structure (5) having a position in the general structure (5) which lies between the positions of the correspondence parts.

Abstract translation: 一种用于确定患者身体（4）的一部分的虚拟图像（2）的医疗数据处理方法，所述方法被构造成由计算机执行，并且包括以下步骤：a）获取（S1）描述的患者图像数据 患者身体（4）的解剖体部分（3）的至少两个二维患者图像（1）; b）获取（S2）描述包括对应于解剖体部分（3）的对应部分的患者身体的至少一部分的一般结构（5）的图形数据。 c）获取描述一般结构（5）中对应部分的位置的对应部位位置数据; 基于患者图像数据和图谱数据和对应部位位置数据确定（S4.1，S4.2，S4.3），描述部分（21）的二维虚像（2）的虚拟图像数据 ，具有在通用结构（5）中位于所述对应部件的位置之间的位置的通用结构（5）的端部（22）。