公开(公告)号：US20160106515A1

公开(公告)日：2016-04-21

申请号：US14895019

申请日：2013-12-12

Applicant: BRAINLAB AG

Inventor： Sabine Kling ,  Luise Poitzsch ,  Melanie Stulpe ,  Mario Schubert ,  Christianäß Brack ,  Timo Neubauer

IPC: A61B5/00 ,  A61B5/11 ,  A61B17/60

Abstract: A data processing method for determining the positional information of characteristic points of a leg, the method comprising the following steps performed by a computer: a) acquiring, by detecting via a hand-held device a stationary reference (R3) and at least one further information, at least four different positions of the femur (F), wherein the pelvis within which the femur (F) can turn is stationary with respect to the stationary reference (R3) and the femur (F) is in a different position each time a positional information value of the femur (F) is acquired; b) determining from the at least four different acquired positional information values of the femur (F) the position of the center of rotation (COR) of the femoral head in relation to a femur reference (R1, R4); c) acquiring a femur information by detecting via a hand-held device a femur reference (R1), and at least one further information; d) determining from the femur information and the at least one further information acquired in step c) the distal end point of the femur axis and the proximal end point of the tibia axis at least in relation to the femur reference (R1); and e) determining the distal end point of the tibia axis by acquiring via a hand-held device the positional information of an ankle reference (R2) being at the distal end point of the tibia axis.

Abstract translation: 一种用于确定腿的特征点的位置信息的数据处理方法，所述方法包括由计算机执行的以下步骤：a）通过手持设备检测静态参考（R3）和至少另外一个 信息，股骨（F）的至少四个不同位置，其中股骨（F）可以在其内转动的骨盆相对于静止参考点（R3）是静止的，而股骨（F）每次处于不同的位置 获取股骨（F）的位置信息值; b）从所述股骨（F）的至少四个不同的获取的位置信息值确定股骨头相对于股骨参考（R1，R4）的旋转中心（COR）的位置; c）通过手持设备检测股骨参考（R1）和至少一个其他信息来获取股骨信息; d）从股骨信息和至少一个进一步的信息确定，所述至少一个进一步信息至少相对于股骨参考（R1）在步骤c）股骨轴线的远端点和胫骨轴线的近端点处获得; 以及e）通过经由手持装置获取在胫骨轴线的远端点处的脚踝参考（R2）的位置信息来确定胫骨轴线的远端点。

公开(公告)号：US20150320512A1

公开(公告)日：2015-11-12

申请号：US14762904

申请日：2013-01-29

Applicant: BRAINLAB AG

Inventor： Jürgen Gassner ,  Uli Mezger ,  Valentin Elefteriu ,  Swen Woerlein

IPC: A61B19/00

CPC classification number: A61B90/20 ,  A61B34/25 ,  A61B90/37 ,  A61B2034/2055 ,  A61B2090/364 ,  A61B2090/367 ,  A61B2090/373 ,  G06F19/00

Abstract: The invention relates to a data processing method of determining a positional transformation (T, M) for correcting the registration of an anatomical body part with a medical imaging apparatus, the method being executed by a computer and comprising the following steps: a) acquiring initial body part position data comprising initial body part position information describing an initial relative position (1) between the medical imaging apparatus and the anatomical body part; b) acquiring, from the medical imaging apparatus, body part medical image data comprising body part medical image information describing an image of the anatomical body part; c) acquiring, based on the body part medical imaging data, actual body part position data comprising actual body part position information describing an actual relative position (2, 4) between the anatomical body part and the medical imaging apparatus; d) determining, based on the actual body part position data and the initial body part position data, body part position transformation data comprising body part position transformation information describing a transformation (T, M) between the initial relative position (1) between the anatomical body part and the medical imaging apparatus, and the actual relative position (2, 4) between the anatomical body part and the medical imaging apparatus.

Abstract translation: 本发明涉及一种确定用于利用医学成像装置校正解剖体部分的登记的位置变换（T，M）的数据处理方法，该方法由计算机执行，包括以下步骤：a）获取初始 身体部位位置数据，其包括描述医学成像设备和解剖体部分之间的初始相对位置（1）的初始身体部位位置信息; b）从医疗成像设备获取包括描述解剖体部分的图像的身体部位医学图像信息的身体部位医学图像数据; c）基于所述身体部位医疗成像数据获取包括描述所述解剖体部分和所述医学成像装置之间的实际相对位置（2,4）的实际身体部位位置信息的实际身体部位位置数据; d）基于实际身体部位位置数据和初始身体部位位置数据确定身体部位位置变换数据，其包括身体部位位置变换信息，其描述解剖学上的初始相对位置（1）之间的变换（T，M） 身体部位和医疗成像装置以及解剖体部与医疗成像装置之间的实际相对位置（2,4）。

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

公开(公告)号：US20150287195A1

公开(公告)日：2015-10-08

申请号：US14437788

申请日：2013-10-22

Applicant: BRAINLAB AG

Inventor： Stefan Vilsmeier

IPC: 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，以及通过将确定的平均平均变换应用于 平均匹配的患者图像。

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：US20140324403A1

公开(公告)日：2014-10-30

申请号：US14363347

申请日：2011-12-09

Applicant: Brainlab AG

Inventor： Hubert Gotte

IPC: A61F2/46 ,  G06F19/12 ,  A61B19/00

CPC classification number: G16B5/00 ,  A61B34/10 ,  A61B34/20 ,  A61B90/37 ,  A61B2034/102 ,  A61B2034/105 ,  A61B2034/2068 ,  A61F2/38 ,  A61F2/4657 ,  A61F2002/4668

Abstract: A data processing method for determining a position of at least two body parts relative to one another, which at least two body parts are connected to one another by at least one joint, the method being executed by a computer and comprising acquiring initial body part position transformation data comprising initial body part position transformation information describing an initial transformation between positions of the at least two body parts in a predetermined pose of the at least two body parts; acquiring alteration transformation data comprising alteration transformation information describing a transformation between a position of a first alteration part of at least one first body part of the at least two body parts, which first alteration part represents a first virtual anatomical alteration to the at least one first body part, and a position of an anatomically unaltered part of the at least one first body part; determining, based on the initial body part position transformation data and the alteration transformation data, altered body part position transformation data comprising altered body part position transformation information describing a transformation between a position of the first alteration part and a position of a second other one of the at least two body parts in the predetermined pose.

Abstract translation: 一种用于确定至少两个身体部分相对于彼此的位置的数据处理方法，所述至少两个身体部分通过至少一个关节彼此连接，所述方法由计算机执行，并且包括获取初始身体部位位置 转换数据，包括描述在所述至少两个身体部位的预定姿势中的所述至少两个身体部位的位置之间的初始变换的初始身体部位位置变换信息; 获取改变变换数据，其包括描述在所述至少两个身体部位的至少一个第一身体部分的第一改变部分的位置之间的变换的改变变换信息，所述第一改变部分表示对所述至少一个第一身体部位的第一虚拟解剖学改变 所述至少一个第一身体部分的解剖学上未改变的部分的位置; 基于初始身体部位位置变换数据和改变变换数据，确定改变的身体部位位置变换数据，其包括改变的身体部位位置变换信息，该变化的身体部位位置变换信息描述第一改变部分的位置与第二改变部分的位置之间的变换 所述至少两个身体部位处于所述预定姿态。

公开(公告)号：US20140180239A1

公开(公告)日：2014-06-26

申请号：US14164667

申请日：2014-01-27

Applicant: Brainlab AG

Inventor： Stephan Mittermeyer ,  Andreas Hartlep

IPC: A61M25/00 ,  A61M5/168

CPC classification number: A61M25/0043 ,  A61B5/02158 ,  A61B5/031 ,  A61B5/036 ,  A61B5/6852 ,  A61B2562/0247 ,  A61M5/16854 ,  A61M5/1723 ,  A61M25/00 ,  A61M2005/14292 ,  A61M2025/0002

Abstract: A catheter for administering a substance into a patient's tissue including a number of pressure sensors for detecting changes in the shape of the catheter or s a backflow along the surface of the catheter. In response to the pressure distribution profile collected along the surface or length of the catheter, the physician may simulate or adapt the substance administration plan to accommodate the actual position of the catheter or the backflow along the surface of the catheter.

Abstract translation: 一种用于将物质施用到患者组织中的导管，包括用于检测导管形状的变化的多个压力传感器或沿着导管表面的回流。 响应于沿着导管的表面或长度收集的压力分布曲线，医师可以模拟或调整物质管理计划以适应导管的实际位置或沿导管表面的回流。

公开(公告)号：US20010007918A1

公开(公告)日：2001-07-12

申请号：US09756582

申请日：2001-01-08

Applicant: BrainLAB AG

Inventor： Stefan Vilsmeier ,  Stephan Frohlich

IPC: A61B005/00

CPC classification number: A61B90/36 ,  A61B34/20 ,  A61B2090/374 ,  A61B2090/3945 ,  A61B2090/3954 ,  A61B2090/3979

Abstract: The invention relates to a method for supporting the treatment of a patient, of which a patient data record was made available by an image-generating method, by means of a navigation system, the navigation system detecting and tracking the positions of the patient, of his/her parts of the body, and particularly of the target of the treatment and the treatment devices, wherein, either automatically or on demand, either one or several further current patient data records are created by means of an image-generating method, and wherein each current data record is integrated into the navigation system in a computer-aided manner.

Abstract translation: 本发明涉及一种用于支持患者的治疗的方法，其中利用图像生成方法使患者数据记录通过导航系统，导航系统检测和跟踪患者的位置， 身体的部分，特别是治疗和治疗装置的目标，其中，自动或按需，通过图像生成方法产生一个或多个当前患者数据记录，以及 其中每个当前数据记录以计算机辅助的方式集成到导航系统中。

公开(公告)号：US20250131556A1

公开(公告)日：2025-04-24

申请号：US18682215

申请日：2021-09-29

Applicant: Brainlab AG

Inventor： Manfred WEISER ,  Jörg UHDE

IPC: G06T7/00 ,  G06T7/136 ,  G06T7/73

Abstract: Provided is a computer-implemented method for assessing a medical image of an object imaged with an X-ray system. The method proposes to generate one or more positioning data sets, which differ in at least one positioning parameter. The X-ray system images medical images of the object with the one or more positioning data sets. The obtained medical images were assessed by measuring a quality measure in the medical images and comparing the measured quality measures with an evaluation criterion. A positive assessed medical image with the corresponding positioning data is then provided for further processing.

公开(公告)号：US20250086933A1

公开(公告)日：2025-03-13

申请号：US18566265

申请日：2021-06-29

Applicant: Brainlab AG

Inventor： Christoph MOSER ,  Nicolas BRIEU ,  Qianyu LIU ,  Santiago PUCH GINER

IPC: G06V10/74

Abstract: Disclosed is i.a. a computer-implemented method of determining a similarity between medical images which encompasses determining patches, i.e. subsets, of a medical image which is newly input to a data storage and of medical images which has been previously stored, analysing the patches for similar image features in a dimensionality-reduced reference system used for defining the image features, computing a distance between the image features in the dimensionality-reduced reference system, and based on the result of comparing the distances calculated for the newly input image and the previously stored medical images, determining whether the medical images are similar and for example originate from the same patient. Artificial intelligence is used to generate the dimensionality-reduced representation of the image features, i.e. to encode the medical images for further processing by the methods and the system disclosed herein.