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    Generation of a patient-specific anatomical atlas
    31.
    发明授权
    Generation of a patient-specific anatomical atlas 有权

    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

    Inventor： Andreas Blumhofer ,  Balint Varkuti ,  Stefan Achatz

    IPC: G06K9/00 ,  G06T7/00 ,  G06T7/60 ,  G06T7/33 ,  G06T7/90

    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
    32.
    发明申请
    Generation of a Patient-Specific Anatomical Atlas 审中-公开

    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

    Inventor： Andreas Blumhofer ,  Balint Varkuti ,  Stefan Achatz

    IPC: G06T7/00 ,  G06T7/90 ,  G06T7/33 ,  G06T7/60

    CPC classification number: G06T7/0014 ,  G06T7/33 ,  G06T7/337 ,  G06T7/60 ,  G06T7/90 ,  G06T2207/20128 ,  G06T2207/30016

    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.

    Generation of a patient-specific anatomical atlas
    33.
    发明授权
    Generation of a patient-specific anatomical atlas 有权

    公开(公告)号：US09875540B2

    公开(公告)日：2018-01-23

    申请号：US14904309

    申请日：2013-07-11

    Applicant: Brainlab AG

    Inventor： Andreas Blumhofer ,  Bálint Várkuti ,  Stefan Achatz

    IPC: G06K9/00 ,  G06T7/00 ,  G06T7/60 ,  G06T7/33 ,  G06T7/90

    CPC classification number: G06T7/0014 ,  G06T7/33 ,  G06T7/337 ,  G06T7/60 ,  G06T7/90 ,  G06T2207/20128 ,  G06T2207/30016

    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.

    Generating Supplementary Slice Images Based On Atlas Data
    36.
    发明申请
    Generating Supplementary Slice Images Based On Atlas Data 有权
    基于Atlas数据生成补充片图像

    公开(公告)号：US20160232655A1

    公开(公告)日：2016-08-11

    申请号：US15024542

    申请日：2013-09-30

    Applicant: BRAINLAB AG

    Inventor： Rainer Lachner ,  Bálint Varkuti ,  Andreas Blumhofer

    IPC: G06T7/00

    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.

    Abstract translation: 一种用于确定患者身体（4）的一部分的虚拟图像（2）的医疗数据处理方法，所述方法被构造成由计算机执行，并且包括以下步骤：a）获取（S1）描述的患者图像数据 患者身体（4）的解剖体部分（3）的至少两个二维患者图像（1）; b）获取（S2）描述包括对应于解剖体部分（3）的对应部分的患者身体的至少一部分的一般结构（5）的图形数据。 c）获取描述一般结构（5）中对应部分的位置的对应部位位置数据; 基于患者图像数据和图谱数据和对应部位位置数据确定（S4.1，S4.2，S4.3），描述部分（21）的二维虚像（2）的虚拟图像数据 ，具有在通用结构（5）中位于所述对应部件的位置之间的位置的通用结构（5）的端部（22）。

    MATCHING PATIENT IMAGES AND IMAGES OF AN ANATOMICAL ATLAS
    37.
    发明申请
    MATCHING PATIENT IMAGES AND IMAGES OF AN ANATOMICAL ATLAS 有权

    公开(公告)号：US20150254838A1

    公开(公告)日：2015-09-10

    申请号：US14438436

    申请日：2012-10-26

    Applicant: BRAINLAB AG

    Inventor： Andreas Blumhofer

    IPC: G06T7/00 ,  G06T3/00

    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: A data processing method for determining a matching transformation for matching a set of one or more images of an anatomical body structure of a patient, referred to as a patient image set, and a set of one or more images of a general anatomical structure, referred to as an atlas image set, wherein the general anatomical structure comprises a plurality of anatomical elements referred to as atlas elements, and each patient image is associated with one of a plurality of different parameter sets, wherein the parameter sets comprise one or more parameters which obtain when the patient images are generated, and the parameters influence representations of anatomical elements in the patient images, the method comprising the following steps performed by a computer: acquiring atlas data (S110, S120), comprising the steps of acquiring atlas spatial information (S110) which contains spatial information on the general anatomical structure, and acquiring element representation information (S120) which describes a plurality of representation data sets (Table 3) which contain information on representations of the plurality of atlas elements in the atlas images to be determined, wherein the element representation information also describes a determination rule (S124) for determining respective representation data sets for respective atlas elements in accordance with different respective parameter sets; acquiring patient data (S130), comprising the sub-steps of acquiring the patient image set (S131), and acquiring one or more of the plurality of parameter sets (S132) which are respectively associated with the one or more images of the patient image set determining (S140), on the basis of the atlas data and the patient data, the set of atlas images which respectively represent at least a part of the general anatomical structure by using (S141b) the spatial information on the general anatomical structure and particular representation data sets which are determined (S142) by applying the determination rule (S143) in accordance with the one or more associated parameter sets and particular atlas elements acquired (S141a) and referred to as corresponding elements, which are to be matched to corresponding anatomical elements represented in the patient image; determining (S150) the matching transformation (APT; APT1, APT2) which matches the atlas image set and the patient image set, by matching images associated with the same parameter set to each other.

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