Simulating a target coverage for deep brain stimulation

    公开(公告)号:US11495345B2

    公开(公告)日:2022-11-08

    申请号:US16828484

    申请日:2020-03-24

    Applicant: Brainlab AG

    Abstract: A system is disclosed for determining a coverage of a target anatomical structure by an electric stimulation field. The system includes a computer to acquire patient image data and the atlas data, determine, based on the patient image data and the atlas data, target structure position data describing a position of the target anatomical structure in the medical image of the anatomical body part of the patient. The system also acquires electrode position data and stimulation field data describing an electric stimulation field around the position of the electrode. The system also includes an electrode configuring device for adjusting an emission configuration of the electrode.

    Simulating a Target Coverage for Deep Brain Stimulation

    公开(公告)号:US20200222690A1

    公开(公告)日:2020-07-16

    申请号:US16828484

    申请日:2020-03-24

    Applicant: Brainlab AG

    Abstract: A system is disclosed for determining a coverage of a target anatomical structure by an electric stimulation field. The system includes a computer to acquire patient image data and the atlas data, determine, based on the patient image data and the atlas data, target structure position data describing a position of the target anatomical structure in the medical image of the anatomical body part of the patient. The system also acquires electrode position data and stimulation field data describing an electric stimulation field around the position of the electrode. The system also includes an electrode configuring device for adjusting an emission configuration of the electrode.

    Generation of a Patient-Specific Anatomical Atlas
    4.
    发明申请
    Generation of a Patient-Specific Anatomical Atlas 有权
    生成患者特异性解剖图谱

    公开(公告)号:US20160171692A1

    公开(公告)日:2016-06-16

    申请号:US14904309

    申请日:2013-07-11

    Applicant: BRAINLAB AG

    Abstract: A medical data processing method of matching a medical image of an anatomical structure of a patient's body with an atlas-based representation of the anatomical structure, the method being constituted to be executed by a computer and comprising the following steps; acquiring patient image data describing a medical image representation of the anatomical structure in the medical image; determining, based on the patient image data, patient substructure data describing a plurality of patient substructure representations each describing a different patient substructure of the anatomical structure; acquiring general substructure data describing a general substructure representation of each of a plurality of general substructures for each of the patient substructures; determining, for each of the patient substructures and based on the patient substructure data and the general substructure data, substructure matching data describing a matching general substructure representation which matches the respective patient substructure representation; determining, based on the general substructure data and the substructure matching data, anatomical structure atlas data describing an atlas representation of the anatomical structure; determining, based on the patient image data and the anatomical structure atlas data, matching transformation data describing an atlas-patient matching transformation between the medical image representation of the anatomical structure and the atlas representation of the anatomical structure.

    Abstract translation: 一种医疗数据处理方法,其将患者身体的解剖结构的医学图像与解剖结构的基于图集的表示进行匹配,所述方法被构造成由计算机执行,并且包括以下步骤: 获取描述医学图像中的解剖结构的医学图像表示的患者图像数据; 基于患者图像数据确定描述多个患者子结构表示的患者子结构数据,每个患者子结构表示描述解剖结构的不同患者子结构; 获取描述每个患者子结构的多个通用子结构中的每一个的一般子结构表示的一般子结构数据; 确定对于每个患者子结构并且基于患者子结构数据和一般子结构数据,描述与相应患者子结构表示匹配的匹配的一般子结构表示的子结构匹配数据; 基于一般子结构数据和子结构匹配数据,确定描述解剖结构的图集表示的解剖结构图集数据; 基于患者图像数据和解剖结构图集数据确定描述解剖结构的医学图像表示与解剖结构的图集表示之间的图谱 - 患者匹配变换的匹配变换数据。

    Simulating a Target Coverage for Deep Brain Stimulation

    公开(公告)号:US20170177827A1

    公开(公告)日:2017-06-22

    申请号:US15431575

    申请日:2017-02-13

    Applicant: Brainlab AG

    Abstract: Disclosed is a computer-implemented method for determining a coverage of a target anatomical structure by an electric stimulation field, the method comprising executing, on at least one processor of at least one computer, steps of: a) acquiring patient image data describing a medical image of the anatomical body part of a patient, wherein the anatomical body part includes the target anatomical structure b) acquiring atlas data describing a model of the anatomical body part and information about the position of a model target structure in the model of the anatomical body part, the model target structure corresponding to the target anatomical structure; c) determining, based on the patient image data and the atlas data, target structure position data describing a position of the target anatomical structure in the medical image of the anatomical body part of the patient; d) acquiring, electrode position data describing a relative position between a position of an electrode and a position of the anatomical body part of the patient as it is described by the patient image data; e) acquiring stimulation field data describing an electric stimulation field around the position of the electrode; f) determining, based on the patient image data and the atlas data and the electrode position data and the stimulation field data, target coverage data describing a coverage of the target anatomical structure by the electric stimulation field.

    Simulating a Target Coverage for Deep Brain Stimulation

    公开(公告)号:US20230099535A1

    公开(公告)日:2023-03-30

    申请号:US17957462

    申请日:2022-09-30

    Applicant: Brainlab AG

    Abstract: A system is disclosed for determining a coverage of a target anatomical structure by an electric stimulation field. The system includes a computer to acquire patient image data and the atlas data, determine, based on the patient image data and the atlas data, target structure position data describing a position of the target anatomical structure in the medical image of the anatomical body part of the patient. The system also acquires electrode position data and stimulation field data describing an electric stimulation field around the position of the electrode. The system also includes an electrode configuring device for adjusting an emission configuration of the electrode.

    Determining rotational orientation of a deep brain stimulation electrode in a three-dimensional image

    公开(公告)号:US11317880B2

    公开(公告)日:2022-05-03

    申请号:US15761752

    申请日:2017-01-24

    Applicant: Brainlab AG

    Abstract: Disclosed is a computer-implemented medical data processing method for determining an orientation of an electrode, the electrode being configured for electrically stimulating an anatomical structure of a patient and comprising a rotational orientation marker, the method comprising executing, on at least one processor of at least one computer, steps of: a) acquiring (S1.1), at the at least one processor, rotational image data describing two-dimensional medical images of the anatomical structure and the electrode, the two-dimensional medical images having been taken with a two-dimensional medical imaging apparatus during rotation of the medical imaging apparatus relative to the anatomical structure, the rotational image data further describing, for each of the two-dimensional medical images, an imaging perspective relative to the anatomical structure associated with the respective two-dimensional medical image; b) determining (S1.2), by the at least one processor and based on the rotational image data, rotational orientation data describing the rotational orientation of the electrode in the reference system of the two-dimensional medical images; c) acquiring (S1.3), at the at least one processor, tomographic image data describing a set of tomographic medical images of the anatomical structure; d) determining (S1.4), by the at least one processor and based on the rotational image data and the tomographic image data and the rotational orientation data, electrode orientation data describing a rotational orientation of the electrode in a reference system of the tomographic medical image data.

    Generation of a patient-specific anatomical atlas

    公开(公告)号:US10147190B2

    公开(公告)日:2018-12-04

    申请号:US15847102

    申请日:2017-12-19

    Applicant: Brainlab AG

    Abstract: A computer implemented method of matching a medical images of an anatomical structure of a patient's body with an atlas-based representation of the anatomical structure is described. The method includes acquiring patient image data; determining, based on the patient image data, patient substructure data; acquiring general substructure data; determining, for each of the patient substructures and based on the patient substructure data and the general substructure data, substructure matching data; determining, based on the general substructure data and the substructure matching data, anatomical structure atlas data; determining, based on the patient image data and the anatomical structure atlas data, matching transformation data describing an atlas-patient matching transformation between the medical image representation of the anatomical structure and the atlas representation of the anatomical structure.

    Generation of a Patient-Specific Anatomical Atlas

    公开(公告)号:US20180108131A1

    公开(公告)日:2018-04-19

    申请号:US15847102

    申请日:2017-12-19

    Applicant: Brainlab AG

    Abstract: A computer implemented method of matching a medical images of an anatomical structure of a patient's body with an atlas-based representation of the anatomical structure is described. The method includes acquiring patient image data describing a medical image representation of the anatomical structure in the medical image; determining, based on the patient image data, patient substructure data describing a plurality of patient substructure representations each describing a different patient substructure of the anatomical structure; acquiring general substructure data describing a general substructure representation of each of a plurality of general substructures for each of the patient substructures; determining, for each of the patient substructures and based on the patient substructure data and the general substructure data, substructure matching data describing a matching general substructure representation which matches the respective patient substructure representation; determining, based on the general substructure data and the substructure matching data, anatomical structure atlas data describing an atlas representation of the anatomical structure; determining, based on the patient image data and the anatomical structure atlas data, matching transformation data describing an atlas-patient matching transformation between the medical image representation of the anatomical structure and the atlas representation of the anatomical structure.

Patent Agency Ranking