Automatic detection and identification of brain sulci in MRI

    公开(公告)号:US10068351B2

    公开(公告)日:2018-09-04

    申请号:US15533307

    申请日:2016-02-25

    Applicant: Brainlab AG

    Abstract: Disclosed is a method for determining a position of a brain sulcus in the brain of a patient, the method comprising executing, on at least one processor of at least one computer, steps of: acquiring, at the at least one processor, patient image data describing a digital medical image of at least part of the brain; acquiring, at the at least one processor, atlas data describing an image-based model of the at least part of the brain; determining, by the at least one processor and based on the patient image data and the atlas data, mapping data describing a transformation between the patient image data and the atlas data; and determining, by the at least one processor and based on the patient image data and the atlas data and the mapping data, sulcus position data describing the position of the brain sulcus in the digital medical image.

    SIMULATION OF OBJECTS IN AN ATLAS AND REGISTRATION OF PATIENT DATA CONTAINING A SPECIFIC STRUCTURE TO ATLAS DATA
    2.
    发明申请
    SIMULATION OF OBJECTS IN AN ATLAS AND REGISTRATION OF PATIENT DATA CONTAINING A SPECIFIC STRUCTURE TO ATLAS DATA 审中-公开
    模拟ATLAS中的对象,并将含有特定结构的患者数据注册到ATLAS数据

    公开(公告)号:US20150278471A1

    公开(公告)日:2015-10-01

    申请号:US14438400

    申请日:2013-10-22

    Applicant: BRAINLAB AG

    Abstract: A data processing method for registering patient data containing normal patient data and specific object data to atlas data not containing this specific object data, the method comprising the following steps performed by a computer: a) acquiring the patient data which comprises anatomical information of the patient including normal patient data and the specific object data of the patient; b) segmenting the specific object data in the patient data; c) acquiring atlas data; d) acquiring meta-information about components of the atlas data; e) performing a fusion of the acquired patient data excluding the segmented specific object data and the atlas data to obtain registered atlas data; and f) simulating the growth of a simulated specific object within the registered atlas data using the registered atlas data and the meta-information about components of the atlas data being adjacent to the area of the specific object to obtain registered atlas data containing a simulated grown specific object.

    Abstract translation: 一种数据处理方法,用于将包含正常患者数据和特定对象数据的患者数据注册到不包含该特定对象数据的图集数据,该方法包括由计算机执行的以下步骤:a)获取包括患者的解剖信息的患者数据 包括正常的患者数据和患者的特定对象数据; b)分割患者数据中的特定对象数据; c)获取地图集数据; d)获取关于图集数据的组件的元信息; e)执行除所分割的特定对象数据和图集数据之外的获取的患者数据的融合以获得注册的图集数据; 以及f)使用登记的地图集数据和与特定对象的区域相邻的地图集数据的元素的元信息来模拟登记的地图集数据内的模拟特定对象的生长,以获得包含模拟生长的注册地图集 具体对象。

    Optimizing an atlas
    3.
    发明授权

    公开(公告)号:US10832423B1

    公开(公告)日:2020-11-10

    申请号:US16317588

    申请日:2018-01-08

    Applicant: Brainlab AG

    Abstract: Disclosed is a computer-implemented method of determining an atlas element. The method encompasses acquiring model image data that describes at least one fixed element (an anatomical element such as an anatomical body part, for example, a rib). Patient image data is acquired that describes an improvable element (an anatomical element such as an anatomical body part, for example heart). Region data is acquired, for example by assigning a homogeneous grey value to a region of the model image. The patient image is matched to the model image, wherein no matching is performed within the region. A transformation for mapping the improvable element into the region is determined based on matching. Several patient images are then mapped into the region and superimposed. An atlas element is determined based on the superimposed images. The method may be repeated using the determined anatomical atlas element as a constraint to detect further atlas elements.

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