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1.发明授权公开(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
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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公开(公告)号：US20210391061A1
公开(公告)日：2021-12-16
申请号：US17281644
申请日：2018-11-07
Applicant: Brainlab AG
Inventor： Kajetan Berlinger , Andreas Blumhofer
Abstract: A compartmentalized dynamic anatomic atlas is disclosed, comprising static atlas data comprising spatial element data and element representation data, wherein the spatial element data describes spatial properties of a spatial atlas element and wherein the element representation data describes representational properties assignable to the spatial atlas element, the atlas further comprising dynamic atlas data comprising information on a dynamic property which information is respectively linked to the spatial atlas element.
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公开(公告)号：US11087475B2
公开(公告)日：2021-08-10
申请号：US16603705
申请日：2017-05-30
Applicant: Brainlab AG
Inventor： Kajetan Berlinger , Andreas Blumhofer
Abstract: A dynamic anatomic atlas is disclosed, comprising static atlas data describing atlas segments and dynamic atlas data comprising information on a dynamic property which information is respectively linked to the atlas segments.
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公开(公告)号：US10402971B2
公开(公告)日：2019-09-03
申请号：US15608578
申请日：2017-05-30
Applicant: Brainlab AG
Inventor： Andreas Blumhofer
IPC: G06K9/00 , G06T7/00 , G06T3/00 , G06T11/00 , G06T7/30 , G06T7/32 , G06T7/38 , G06F19/00 , G16H30/20 , G16H50/50
Abstract: A matching transformation is determined for matching a patient image set of images of an anatomical body structure of a patient with an atlas image set of images of a general anatomical structure including anatomical atlas elements. Atlas spatial information containing spatial information on the general anatomical structure, and element representation information are obtained. The element representation information describes representation data sets which contain information on representations of the plurality of atlas elements in the atlas images to be determined are obtained, and also describes a determination rule for determining respective representation data sets for respective atlas elements in accordance with different respective parameter sets. Patient data is acquired by acquiring the patient image set and the parameter sets which are respectively associated with the images of the patient image set. The matching transformation is determined by matching images associated with the same parameter set to each other.
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公开(公告)号：US12112845B2
公开(公告)日：2024-10-08
申请号：US17281644
申请日：2018-11-07
Applicant: Brainlab AG
Inventor： Kajetan Berlinger , Andreas Blumhofer
CPC classification number: G16H30/40 , G06T7/0016 , G06T2207/10076 , G06T2207/10081
Abstract: A compartmentalized dynamic anatomic atlas is disclosed, comprising static atlas data comprising spatial element data and element representation data, wherein the spatial element data describes spatial properties of a spatial atlas element and wherein the element representation data describes representational properties assignable to the spatial atlas element, the atlas further comprising dynamic atlas data comprising information on a dynamic property which information is respectively linked to the spatial atlas element.
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Patent Agency Ranking
公开(公告)号：US11669974B2
公开(公告)日：2023-06-06
申请号：US17853307
申请日：2022-06-29
Applicant: Brainlab AG
Inventor： Jens Schmaler , Andreas Giese , Andreas Blumhofer
CPC classification number: G06T7/11 , G06T7/0012 , G06T7/20 , G06T7/70 , G06T2207/20128 , G06T2207/30081
Abstract: Disclosed is a computer-implemented method of segmenting a medical patient image using an atlas and relating the segmentation result to a model of possible geometric changes to the segmentation result (e.g. for correcting the position of the segmentation of anatomical structures) which consider for example anatomical limitations. The thus-related segmentation result may be used as a basis for changing and/or correcting the position, shape and/or orientation of at least parts of the segmentation result, e.g. by user interaction. The invention also relates to an atlas data set comprising information such as values of the variables of the model of possible geometric changes in relation to the positions of anatomical structures in the atlas.
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公开(公告)号：US10388013B2
公开(公告)日：2019-08-20
申请号：US15608485
申请日：2017-05-30
Applicant: Brainlab AG
Inventor： Andreas Blumhofer
IPC: G06K9/00 , G06T7/00 , G16H30/40 , G06T7/30 , G06T7/32 , G06T7/38 , G06T11/00 , G06T3/00 , G16H50/50
Abstract: A matching transformation is determined for matching a patient image set of images of an anatomical body structure of a patient with an atlas image set of images of a general anatomical structure including anatomical atlas elements. Atlas spatial information containing spatial information on the general anatomical structure, and element representation information are obtained. The element representation information describes representation data sets which contain information on representations of the plurality of atlas elements in the atlas images to be determined are obtained, and also describes a determination rule for determining respective representation data sets for respective atlas elements in accordance with different respective parameter sets. Patient data is acquired by acquiring the patient image set and the parameter sets which are respectively associated with the images of the patient image set. The matching transformation is determined by matching images associated with the same parameter set to each other.
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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
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.
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公开(公告)号：US09704243B2
公开(公告)日：2017-07-11
申请号：US14438436
申请日：2012-10-26
Applicant: Brainlab AG
Inventor： Andreas Blumhofer
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 matching transformation is determined for matching a patient image set of images of an anatomical body structure of a patient with an atlas image set of images of a general anatomical structure including anatomical atlas elements. Atlas spatial information containing spatial information on the general anatomical structure, and element representation information are obtained. The element representation information describes representation data sets which contain information on representations of the plurality of atlas elements in the atlas images to be determined are obtained, and also describes a determination rule for determining respective representation data sets for respective atlas elements in accordance with different respective parameter sets. Patient data is acquired by acquiring the patient image set and the parameter sets which are respectively associated with the images of the patient image set. The matching transformation is determined by matching images associated with the same parameter set to each other.
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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
Inventor： Andreas Blumhofer , Bálint Várkuti , Stefan Achatz
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.
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。
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