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    AUTOMATED PRE-OPERATIVE ASSESSMENT OF IMPLANT PLACEMENT IN HUMAN BONE
    2.
    发明申请
    AUTOMATED PRE-OPERATIVE ASSESSMENT OF IMPLANT PLACEMENT IN HUMAN BONE 有权

    公开(公告)号：US20210322101A1

    公开(公告)日：2021-10-21

    申请号：US17260096

    申请日：2018-08-30

    Applicant: Brainlab AG

    Inventor： Bálint Varkuti ,  Bogdan Moldovan

    IPC: A61B34/10 ,  A61B34/00 ,  A61N1/375 ,  A61B90/14 ,  G06T19/20 ,  G06T7/11 ,  G06K9/00 ,  G16H20/40 ,  G16H10/60 ,  G16H50/30 ,  G16H30/20 ,  G16H30/40 ,  G16H20/30 ,  G16H15/00 ,  G16H40/63

    Abstract: A computer-assisted and automatic identification of possible cranial positions for any kind of implant is presented. In this method, skull data of the individual patient's skull are used as well as statistical skull data which include so-called skull avoidance zones. Further, a digital template of the implant is used to find these possible positions. The implant may be e.g. an IPG and/or the screws of a fixation frame, but these are only embodiments of implants and other implants may be used with the present invention as well. The computer-implemented medical method of the present invention removes the uncertainty whether a given patient can safely receive an implant, like for example a cranial IPG, which was previously only possible on the basis of human judgement. Furthermore, the present invention removes the uncertainty whether a given patient can be safely fixated in a stereotactic frame or a Mayfield head clamp. The present invention supports the localization of optimal implant location as well as neuro-navigation guided execution of surgery. This enhances safety and speed of the entire medical procedure, as will be explained in more detail hereinafter. The advantages described hereinbefore are in the same way realized by the computer program, the medical system and the navigation system for computer-assisted surgery of the present invention.

    Matching Patient Images of Different Imaging Modality Using Atlas Information
    4.
    发明申请
    Matching Patient Images of Different Imaging Modality Using Atlas Information 有权
    使用Atlas信息匹配不同成像模式的患者图像

    公开(公告)号：US20150294467A1

    公开(公告)日：2015-10-15

    申请号：US14437784

    申请日：2013-06-28

    Applicant: BRAINLAB AG

    Inventor： Andreas Blumhofer ,  Bálint Varkuti ,  Jens Schmaler

    IPC: G06T7/00 ,  G06T11/00

    CPC classification number: G06T7/0012 ,  G06F19/00 ,  G06F19/321 ,  G06T3/0056 ,  G06T7/30 ,  G06T7/32 ,  G06T7/38 ,  G06T11/008 ,  G06T2207/10004 ,  G06T2207/10076 ,  G06T2207/10081 ,  G06T2207/10084 ,  G06T2207/10088 ,  G06T2207/10116 ,  G06T2207/20081 ,  G06T2207/20104 ,  G06T2207/20128 ,  G06T2207/20221 ,  G06T2207/30004 ,  G06T2207/30196 ,  G16H50/50

    Abstract: The present invention relates to a medical data processing method of transforming a representation of an anatomical structure (1) of a patient in a first imaging modality into a representation of the anatomical structure (1′) in a second, other imaging modality, the method being constituted to be executed by a computer and comprising the following steps: a) acquiring (S1) first modality image data describing the first modality medical image containing the representation of the anatomical structure (1) in the first imaging modality; b) acquiring (S1) atlas data describing a first modality atlas image describing a general structure of the anatomical structure (1) in the first imaging modality, the atlas data containing information about the representation of the general structure in the second imaging modality; c) determining (S3), based on the first modality image data and the atlas data, a first matching transformation between the first modality medical image and the first modality atlas image; d) determining (S5), based on the first matching transformation and the first modality atlas image and the information about the representation of the general structure in the second imaging modality second modality, a second modality image representation of the first modality medical

    Abstract translation: 本发明涉及将第一成像模式中的患者的解剖结构（1）的表示变换为第二其他成像模态中的解剖结构（1'）的表示的医疗数据处理方法，该方法 被构造为由计算机执行并且包括以下步骤：a）获取（S1）描述在第一成像模式中包含解剖结构（1）的表示的第一模态医学图像的第一模态图像数据; b）获取（S1）描述描述第一成像模态中解剖结构（1）的一般结构的第一模态图集的图像数据，所述图集数据包含关于第二成像模态中的一般结构的表示的信息; c）基于第一模态图像数据和图集数据确定（S3）第一模态医学图像和第一模态图谱之间的第一匹配变换; d）基于第一匹配变换和第一模态图集和关于第二成像模态第二模态中的一般结构的表示的信息来确定（S5），第一模态医学的第二模态图像表示

    Time-synchronized deep brain stimulation optimization
    5.
    发明授权
    Time-synchronized deep brain stimulation optimization 有权

    公开(公告)号：US12011290B2

    公开(公告)日：2024-06-18

    申请号：US16336001

    申请日：2017-11-08

    Applicant: Brainlab AG

    Inventor： Bálint Varkuti

    IPC: A61B5/00 ,  A61B5/053 ,  A61B5/0536 ,  A61B5/055 ,  G01R33/48

    CPC classification number: A61B5/4893 ,  A61B5/0042 ,  A61B5/0536 ,  A61B5/055 ,  G01R33/4806

    Abstract: A medical data processing method is provided and includes: acquiring medical image data describing a digital image of an anatomical body part containing at least one nerve fibre extending between an internal part of the anatomical body part and a substantially exterior part of the anatomical body part; and acquiring atlas data describing an image-based model of the anatomical body part. The method determines, based on the medical image data and the atlas data, exterior part data describing an association between the exterior part and the nerve fibre. The method further acquires a predetermined applied stimulation signal applied to, based on the exterior part data, the exterior part and an emitted stimulation signal emitted by the nerve fibre. Correspondence measure data describing a measure of correspondence between the applied stimulation signal and the emitted stimulation signal is then determined.

    Simulating a Target Coverage for Deep Brain Stimulation
    6.
    发明申请
    Simulating a Target Coverage for Deep Brain Stimulation 审中-公开

    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

    Inventor： Stefan Achatz ,  Bálint Varkuti

    IPC: A61N1/05 ,  G06F16/50 ,  A61N1/372 ,  G16H50/50 ,  A61N1/36

    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.

    Generating supplementary slice images based on atlas data
    7.
    发明授权
    Generating supplementary slice images based on atlas data 有权

    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

    Inventor： Rainer Lachner ,  Bálint Varkuti ,  Andreas Blumhofer

    IPC: G06K9/00 ,  G06T7/00 ,  G06T7/33 ,  A61B6/00

    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.

    Identification Method Based on Connectivity Profiles
    9.
    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

    Inventor： Bálint Varkuti ,  Rainer Lachner

    IPC: G06K9/00 ,  G06K9/62 ,  G06K9/46

    CPC classification number: G06K9/00885 ,  G06K9/4638 ,  G06K9/6232 ,  G06K9/627 ,  G06K9/6277 ,  G06K2009/00932 ,  G06T7/11 ,  G06T7/187 ,  G06T2207/10092 ,  G06T2207/20076 ,  G06T2207/20081 ,  G06T2207/30016

    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。

    Simulating a Target Coverage for Deep Brain Stimulation
    10.
    发明申请
    Simulating a Target Coverage for Deep Brain Stimulation 有权

    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

    Inventor： Stefan Achatz ,  Bálint Varkuti

    IPC: G16H30/40 ,  G06F16/50 ,  A61N1/372 ,  G16H50/50 ,  G16H30/20 ,  G16H20/30 ,  A61N1/05 ,  A61N1/36

    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.

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