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    Determining medical outcome quality
    41.
    发明授权
    Determining medical outcome quality 有权

    公开(公告)号：US10769240B2

    公开(公告)日：2020-09-08

    申请号：US15311833

    申请日：2015-04-30

    Applicant: Brainlab AG

    Inventor： Stefan Vilsmeier ,  Bálint Varkuti

    IPC: G06Q10/00 ,  G06Q50/00 ,  G06F19/00 ,  G16H50/70 ,  G16H50/20 ,  G16H40/63

    Abstract: The present invention relates to a medical data processing method of determining an outcome quality of a medical procedure, the method comprising the following steps which are constituted to be executed by a computer: a) acquiring (S1) pre-completion medical image data describing an anatomical structure of a patient's body in a state before the medical procedure has been completed on the anatomical structure, the anatomical structure being subject to the medical procedure; b) acquiring (S1) pre-completion non-image medical data describing a state and medical history of the patient before the medical procedure has been completed on the anatomical structure; c) acquiring (S2) medical procedure planning data describing a plan for execution of the medical procedure to be carried out on the anatomical structure; d) determining (S2), based on the pre-completion medical image data and the medical procedure planning data, procedure application describing an application of the medical procedure planning data to the pre-completion medical image data; e) acquiring (S5) post-completion non-image medical data describing a state and medical history of the patient after the medical procedure has been completed on the anatomical structure; f) acquiring (S5) post-completion medical image data describing the anatomical structure in a state after the medical procedure has been completed on the anatomical structure; g) determining (S6, S7), based on the procedure application data and the pre-completion non-image medical data and the post-completion non-image medical data and the post-completion medical image data, outcome quality data comprising a quality measure describing a quality of the outcome of the medical procedure, the quality measure for example being specific to the indication in question, properties of the patient and the executive medical entity.

    Controlling a process of monitoring the position of a patient during radiation treatment
    42.
    发明授权
    Controlling a process of monitoring the position of a patient during radiation treatment 有权

    公开(公告)号：US10357664B2

    公开(公告)日：2019-07-23

    申请号：US14835884

    申请日：2015-08-26

    Applicant: Brainlab AG

    Inventor： Stefan Vilsmeier ,  Stephan Erbel

    IPC: A61N5/10

    Abstract: The invention is directed to a method for controlling a process of monitoring the position of at least a part of a patient's body (1) during a radiation treatment, the method comprising the following steps: a) providing an energy value which is dependent on the radiation energy applied to the patient's body (1); b) controlling the time at which the monitoring process is performed, in accordance with the energy value.

    Method of managing a brain stroke
    44.
    发明授权
    Method of managing a brain stroke 有权

    公开(公告)号：US09788754B2

    公开(公告)日：2017-10-17

    申请号：US14279357

    申请日：2014-05-16

    Applicant: Brainlab AG

    Inventor： Stefan Vilsmeier

    IPC: A61B5/05 ,  A61B5/055 ,  A61B6/04 ,  A61B6/00 ,  A61B5/00 ,  A61B6/03

    CPC classification number: A61B5/055 ,  A61B5/0073 ,  A61B5/0082 ,  A61B5/0555 ,  A61B6/032 ,  A61B6/0407 ,  A61B6/501 ,  A61B6/504 ,  A61B2562/17

    Abstract: The present invention relates to a medical method of managing a cerebrovascular insult, the method comprising the following steps in this order: a) placing a patient on a patient support unit; b) positioning a mobile tomographic imaging system in a predetermined position relative to the patient support unit with the patient placed on the patient support unit; c) imaging at least part of the patient's brain using an imaging unit of the tomographic imaging system, the imaging comprising in particular generating an image describing the functioning of the patient's blood vessel system; d) determining, in dependence on the result of the imaging, whether the patient support unit should be rotated relative to the tomographic imaging system with the patient placed on the patient support unit so that the patient is free of the imaging unit in order to conduct a medical intervention on the patient's blood vessel system, or whether the patient support unit may remain in its position relative to the tomographic imaging system with the patient placed on the patient support unit.

    Determining an anatomical atlas
    45.
    发明授权
    Determining an anatomical atlas 有权
    确定解剖图谱

    公开(公告)号：US09508144B2

    公开(公告)日：2016-11-29

    申请号：US14437788

    申请日：2013-10-22

    Applicant: Brainlab AG

    Inventor： Stefan Vilsmeier

    IPC: G06K9/00 ,  G06T7/00

    CPC classification number: G06T7/0014 ,  G06F19/00 ,  G06T7/30 ,  G06T2207/30004 ,  G16H50/50

    Abstract: A data processing method for determining data which are referred to as atlas data and comprise information on a description of an image of a general anatomical structure, wherein this image is referred to as the atlas image, the method comprising the following steps performed by a computer: acquiring patient data which comprise a description of a set of images of an anatomical structure of a set of patients, wherein the images are referred to as patient images and each patient image is associated with a parameter set which comprises one or more parameters which obtain when the patient images are generated, wherein the parameters influence representations of anatomical elements as expressed by image values in the patient images; acquiring model data which comprise information on a description of an image of a model of an anatomical structure of a (single or average or generic) patient which is referred to as the model image and is associated with the parameter set; determining matching transformations which are referred to as PM transformations and which are constituted to respectively match the set of patient images of the set of patients to the model image by matching images associated with the same parameter set; determining an inverse average transformation by applying an inverting and averaging operation to the determined PM transformations; and a) determining the atlas data by applying the determined inverse average transformation to the model data; or b) respectively applying the determined PM transformations to the respective patient images in order to determine matched patient images, averaging the matched patient images in order to determine an average matched patient image, and determining the atlas data by applying the determined inverse average transformation to the average matched patient image.

    Abstract translation: 一种用于确定被称为图集数据的数据的数据处理方法，并且包括关于一般解剖结构的图像的描述的信息，其中该图像被称为图集图像，该方法包括由计算机执行的以下步骤 ：获取患者数据，其包括对一组患者的解剖结构的一组图像的描述，其中所述图像被称为患者图像，并且每个患者图像与包括一个或多个参数的参数集相关联，所述参数集获得 当生成患者图像时，其中参数影响由患者图像中的图像值表示的解剖元件的表示; 获取包括关于被称为模型图像并与参数集相关联的（单个或平均或一般）患者的解剖结构的模型的图像的描述的信息的模型数据; 确定被称为PM变换的匹配变换，并且通过匹配与相同参数集相关联的图像，将匹配的患者图像集合分配为模型图像; 通过对所确定的PM变换应用反相和平均运算来确定逆平均变换; 以及a）通过将确定的反平均变换应用于模型数据来确定图集数据; 或b）分别将确定的PM变换应用于相应的患者图像，以便确定匹配的患者图像，对匹配的患者图像进行平均，以便确定平均匹配的患者图像，以及通过将所确定的逆平均变换应用于 平均匹配的患者图像。

    Correcting segmentation of medical images using a statistical analysis of historic corrections
    48.
    发明授权
    Correcting segmentation of medical images using a statistical analysis of historic corrections 有权

    公开(公告)号：US11861846B2

    公开(公告)日：2024-01-02

    申请号：US17281493

    申请日：2019-12-20

    Applicant: Brainlab AG

    Inventor： Stefan Vilsmeier ,  Andreas Blumhofer ,  Jens Schmaler

    IPC: G06T7/143 ,  G06T7/174 ,  G06T7/00 ,  G06T7/11 ,  G06N3/08 ,  G06N20/20

    CPC classification number: G06T7/143 ,  G06T7/0012 ,  G06T7/174 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/20092 ,  G06T2207/20128 ,  G06T2207/30004

    Abstract: Disclosed is a computer-implemented methods of determining distributions of corrections for correcting the segmentation of medical image data, determining corrections for correcting the segmentation of medical image data, training a learning algorithm for determining a segmentation of a digital medical image, and determining a relation between an image representation of the anatomical body part in an individual medical image and a label to be associated with the image representation of the anatomical body part in the individual medical image using the trained machine learning algorithm. The methods encompass reading a plurality of corrections to image segmentations, wherein the corrections themselves may have been manually generated, transforming these corrections into a reference system which is not patient-specific such as an atlas reference system, conducting a statistical analysis of the correction, and applying the re-transformed result of the statistical analysis to patient images. The result of the statistical analysis may also be used to appropriately train a machine learning algorithm for automatic segmentation of patient images. The application of such a trained machine learning algorithm is also part of this disclosure.

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