Generating supplementary slice images based on atlas data

    公开(公告)号:US09865057B2

    公开(公告)日:2018-01-09

    申请号:US15024542

    申请日:2013-09-30

    Applicant: Brainlab AG

    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.

    Identification Method Based on Connectivity Profiles
    6.
    发明申请
    Identification Method Based on Connectivity Profiles 有权
    基于连通性的识别方法

    公开(公告)号:US20160155005A1

    公开(公告)日:2016-06-02

    申请号:US14903806

    申请日:2013-07-08

    Applicant: BRAINLAB AG

    Abstract: The present invention relates to a medical data processing method for identifying an entity of the nervous system, in particular the brain, of a patient, wherein the method is designed to be executed by a computer and comprises the following steps: a) acquiring target connectivity data comprising target connectivity information about the probability of a target entity being connected to other entities of the nervous system; b) acquiring candidate connectivity data comprising candidate connectivity information about the probability of at least one candidate entity being connected to other entities of the nervous system; and c) determining similarity data for each of the at least one candidate entities on the basis of the candidate connectivity data and the target connectivity data, wherein the similarity data comprise similarity information about the similarity between the candidate entity and the target entity.

    Abstract translation: 本发明涉及用于识别患者的神经系统,特别是大脑的实体的医疗数据处理方法,其中该方法被设计为由计算机执行,并且包括以下步骤:a)获取目标连接 包括关于目标实体连接到神经系统的其他实体的概率的目标连接性信息的数据; b)获取候选连接数据,其包括关于至少一个候选实体连接到神经系统的其他实体的概率的候选连接性信息; 以及c)基于所述候选连接性数据和所述目标连通性数据确定所述至少一个候选实体中的每一个的相似性数据,其中所述相似性数据包括关于所述候选实体和所述目标实体之间的相似性的相似性信息。

    METHOD, SYSTEM AND COMPUTER PROGRAM FOR DETERMINING POSITION AND/OR ORIENTATION PARAMETERS OF AN ANATOMICAL STRUCTURE

    公开(公告)号:US20230021299A9

    公开(公告)日:2023-01-19

    申请号:US17579245

    申请日:2022-01-19

    Applicant: Brainlab AG

    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.

    METHOD, SYSTEM AND COMPUTER PROGRAM FOR DETERMINING POSITION AND/OR ORIENTATION PARAMETERS OF AN ANATOMICAL STRUCTURE

    公开(公告)号:US20200372669A1

    公开(公告)日:2020-11-26

    申请号:US16932349

    申请日:2020-07-17

    Applicant: Brainlab AG

    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.

    Automatic detection and identification of brain sulci in MRI

    公开(公告)号:US10068351B2

    公开(公告)日:2018-09-04

    申请号:US15533307

    申请日:2016-02-25

    Applicant: Brainlab AG

    Abstract: Disclosed is a method for determining a position of a brain sulcus in the brain of a patient, the method comprising executing, on at least one processor of at least one computer, steps of: acquiring, at the at least one processor, patient image data describing a digital medical image of at least part of the brain; acquiring, at the at least one processor, atlas data describing an image-based model of the at least part of the brain; determining, by the at least one processor and based on the patient image data and the atlas data, mapping data describing a transformation between the patient image data and the atlas data; and determining, by the at least one processor and based on the patient image data and the atlas data and the mapping data, sulcus position data describing the position of the brain sulcus in the digital medical image.

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