CBCT and X-Ray Combined Setup with X-Ray Verification of Patient Positioning

    公开(公告)号:US20150335915A1

    公开(公告)日:2015-11-26

    申请号:US14759905

    申请日:2013-01-09

    Applicant: BRAINLAB AG

    Abstract: The invention is directed to a data processing method for determining the consistency of registration of the position of a treatment body part to be treated by radiotherapy with a treatment beam arrangement of at least one position of a treatment beam issued by a treatment device, the treatment body part being a soft tissue part of an anatomical structure of a patient's body nad the data processing method being constituted to be executed by a computer and comprising the following steps: g) acquiring CT data comprising predetermined CT information about a position of the treatment body part relative to a bony structure of the patient's body and about a first position of the bony structure relative to the treatment beam arrangement; h) acquiring x-ray data comprising x-ray information about a second position of the bony structure relative to the treatment beam arrangement; i) determining, based on the x-ray data and the CT data, bony structure position first transformation data comprising bony structure position first transformation information about a first transformation between the first position and the second position of the bony structure; j) acquiring CBCT data comprising CBCT information about the position of the treatment body part relative to the treatment beam arrangement or relative to the bony structure; k) determining, based on the CBCT data and the CT data, bony structure position second transformation data comprising bony structure position second transformation information about a second transformation between the first position and a third position of the bony structure relative to the treatment beam arrangement; determining, based on the bony structure position first transformation data and the bony structure position second transformation data, transformation difference data comprising transformation difference information about a difference between the first and second transformations.

    METHOD OF MANAGING A BRAIN STROKE
    372.
    发明申请
    METHOD OF MANAGING A BRAIN STROKE 有权
    管理脑卒中的方法

    公开(公告)号:US20150327817A1

    公开(公告)日:2015-11-19

    申请号:US14279357

    申请日:2014-05-16

    Applicant: Brainlab AG

    Inventor: Stefan Vilsmeier

    Abstract: The present invention relates to a medical method of managing a cerebrovascular insult, the method comprising the following steps in this order: a) placing a patient on a patient support unit; b) positioning a mobile tomographic imaging system in a predetermined position relative to the patient support unit with the patient placed on the patient support unit; c) imaging at least part of the patient's brain using an imaging unit of the tomographic imaging system, the imaging comprising in particular generating an image describing the functioning of the patient's blood vessel system; d) determining, in dependence on the result of the imaging, whether the patient support unit should be rotated relative to the tomographic imaging system with the patient placed on the patient support unit so that the patient is free of the imaging unit in order to conduct a medical intervention on the patient's blood vessel system, or whether the patient support unit may remain in its position relative to the tomographic imaging system with the patient placed on the patient support unit.

    Abstract translation: 本发明涉及一种管理脑血管损伤的医疗方法,该方法包括以下步骤:a)将患者放置在患者支撑单元上; b)将患者放置在患者支撑单元上时,将移动层析成像系统相对于患者支撑单元定位在预定位置; c)使用所述断层摄影成像系统的成像单元对所述患者的大脑的至少一部分进行成像,所述成像特别地产生描述所述患者血管系统功能的图像; d)根据成像结果,确定患者支撑单元是否应该相对于断层摄影系统旋转,同时病人放置在患者支撑单元上,以使得患者没有成像单元以便进行 患者血管系统的医疗干预,或患者支撑单元是否可以相对于层析成像系统保持在患者放置在患者支撑单元上的位置。

    TWO-PART TRACKING REFERENCE STRUCTURE
    373.
    发明申请
    TWO-PART TRACKING REFERENCE STRUCTURE 审中-公开
    两部分追踪参考结构

    公开(公告)号:US20150297315A1

    公开(公告)日:2015-10-22

    申请号:US14440423

    申请日:2012-11-06

    Applicant: BRAINLAB AG

    Abstract: The present invention relates to a tracking reference structure for localising and tracking an object by means of a medical tracking system, said structure comprising: a first part (1) which forms a support structure for at least one tracking marker (3); and a second part (2) which is configured to be fixed to said object, wherein a positionally fixed connection between the first part (1) and the second part (2) is established by means of an interface comprising at least one resiliently articulated element (4) on the first part (1) and/or second part (2), which engage(s) with the respective other part (2, 1), and wherein the resiliently articulated element (4) is configured such that its restoring spring force alone is already sufficient to positionally fix the connection. The present invention also relates to a tracking reference system comprising such a tracking reference structure which in turn comprises at least one first part (1), wherein any additional first part(s) (1) support(s) a different type of tracking marker (3) and said different first parts (1) can be interchangeably connected to the second part (2), and wherein the tracking markers (3) of each of said different first parts (1) are in particular placed in the same spatial position when being coupled to the second part (2).

    Abstract translation: 本发明涉及一种用于通过医疗跟踪系统对物体进行定位和跟踪的跟踪参考结构,所述结构包括:形成用于至少一个跟踪标记(3)的支撑结构的第一部分(1); 以及构造成固定到所述物体的第二部分(2),其中通过包括至少一个弹性铰接元件的界面来建立所述第一部分(1)和所述第二部分(2)之间的位置固定的连接 (4)在第一部分(1)和/或第二部分(2)上,其与相应的另一部分(2,1)接合,并且其中弹性关节元件(4)被配置成使得其恢复 单独的弹簧力已经足以使位置固定连接。 本发明还涉及包括这种跟踪参考结构的跟踪参考系统,该跟踪参考结构又包括至少一个第一部分(1),其中任何附加的第一部分(1)支持不同类型的跟踪标记 (3)和所述不同的第一部分(1)可以互换地连接到第二部分(2),并且其中每个所述不同的第一部分(1)的跟踪标记(3)特别地放置在相同的空间位置 当耦合到第二部分(2)时。

    Intelligent optimization setting adjustment for radiotherapy treatment planning using patient geometry information and artificial intelligence

    公开(公告)号:US12285628B2

    公开(公告)日:2025-04-29

    申请号:US17429839

    申请日:2019-03-01

    Applicant: Brainlab AG

    Abstract: By using the Al module, the method of the present invention calculates, i.e. predicts, the dependency Ci (pi) of a radiotherapy (RT) quality criterion C, from an adjustment of such a radiotherapy planning parameter pi. In this way, the decision making process in RT treatment plan optimization is streamlined by prediction of promising settings of one or more radiotherapy planning parameters p, before the actual time intensive iterative optimization process is carried out. This is achieved by applying an Al module, which has been trained to predict the specific behaviour of the dose optimization algorithm, i.e. the optimizer, with respect to geometric patient data, dose prescription and treatment indication data. Thus, a computer-implemented medical method of predicting a dependency Ci (pi) of a radiotherapy (RT) quality criterion Ci from an adjustment of a radiotherapy planning parameter p, is presented. The method comprises the following steps of providing geometric patient data geometrically describing an area of a patient, which is to be irradiated according to a radiotherapy treatment plan (step S1), providing dose prescription data and treatment indication data for said patient (step S2), and predicting with a trained Artificial Intelligence (Al) module the dependency Ci (pi) of the radiotherapy quality criterion Ci from the radiotherapy planning parameter p, when adjusting said radiotherapy planning parameter pi, thereby using the geometric patient data, the dose prescription data and the treatment indication data as input for the Al module (step S3).

    Method for registering a virtual representation of a patient anatomy with a coordinate system of a physical patient anatomy

    公开(公告)号:US12266443B2

    公开(公告)日:2025-04-01

    申请号:US17910308

    申请日:2021-03-11

    Applicant: Brainlab AG

    Abstract: The present invention relates to a method for registering a virtual representation of a patient anatomy with a coordinate system of a physical patient anatomy, comprising displaying first overlap data in a head-mounted device, wherein the first overlap data describe from a first perspective onto the physical patient anatomy a first visual overlap between the virtual representation of the patient anatomy and the physical patient anatomy, identifying at least a first area in the first visual overlap and/or at least a first anatomical feature of the patient anatomy in the first visual overlap having at least a minimum degree of alignment between the virtual representation and the physical patient anatomy, displaying second overlap data in the head-mounted device, wherein the second overlap data describe from a second perspective onto the physical patient anatomy a second visual overlap between the virtual representation of the patient anatomy and the physical patient anatomy, and taking into account, during the displaying of the second overlap data, the alignment of the identified first area and/or anatomical feature of the patient anatomy that was identified in the first visual overlap as having at least a minimum degree of alignment between the virtual representation and the physical patient anatomy.

    Medical image analysis using machine learning and an anatomical vector

    公开(公告)号:US12266154B2

    公开(公告)日:2025-04-01

    申请号:US18496306

    申请日:2023-10-27

    Applicant: Brainlab AG

    Abstract: Disclosed is a computer-implemented method which encompasses registering a tracked imaging device such as a microscope having a known viewing direction and an atlas to a patient space so that a transformation can be established between the atlas space and the reference system for defining positions in images of an anatomical structure of the patient. Labels are associated with certain constituents of the images and are input into a learning algorithm such as a machine learning algorithm, for example a convolutional neural network, together with the medical images and an anatomical vector and for example also the atlas to train the learning algorithm for automatic segmentation of patient images generated with the tracked imaging device. The trained learning algorithm then allows for efficient segmentation and/or labelling of patient images without having to register the patient images to the atlas each time, thereby saving on computational effort.

    Constrained object correction for a segmented image

    公开(公告)号:US12190522B2

    公开(公告)日:2025-01-07

    申请号:US18306656

    申请日:2023-04-25

    Applicant: Brainlab AG

    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.

    DETECTION OF IMAGE STRUCTURES VIA DIMENSIONALITY-REDUCING PROJECTIONS

    公开(公告)号:US20240371021A1

    公开(公告)日:2024-11-07

    申请号:US18038195

    申请日:2022-01-13

    Applicant: Brainlab AG

    Abstract: A system and related method for computer-implemented medical image processing. The method may comprise a step of receiving (S720) input data comprising a projection of a three-dimensional, 3D, or higher dimensional image volume generated by a medical imaging apparatus. The method may comprise processing (S740) the input data by using a trained machine learning model (M) to facilitate computing a location in the 3D volume of a structure of interest. The method may include outputting (S760) output data indicative of the said location.

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