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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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公开(公告)号：US12133694B2
公开(公告)日：2024-11-05
申请号：US16973181
申请日：2018-07-30
Applicant: Brainlab AG
Inventor： Bálint Várkuti , Rebecca Rittstieg
Abstract: Disclosed is a computer-implemented method of determining a consensus plane for imaging an elongate medical device such as an electrode or a catheter. When positioning an analytical device such that its imaging plane is parallel to or coincides with the consensus plane, an optimal image of the elongate medical device can be generated. The consensus plane is determined by analyzing patient image data used for planning an imaging procedure, planned trajectory data defining a planned position of the elongate medical device relative to the position of an anatomical body part, imaging device constraint data describing machine constraints governing operation of the medical imaging device, avoidance region position data defining the position of anatomical regions of the patient's body, and orientation condition data defining a boundary condition for an angle between the orientation of the consensus plane and the orientation of the characteristic geometric quantity of the elongate medical device.
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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
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.
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