STABILITY ESTIMATION OF A POINT SET REGISTRATION

    公开(公告)号:WO2021180333A1

    公开(公告)日:2021-09-16

    申请号:PCT/EP2020/056809

    申请日:2020-03-13

    Applicant: BRAINLAB AG

    Abstract: The present invention relates to a method encompassing acquiring data as to the geometric structure/topology of a predefined surface section as well as to an additional physical property assigned to the surface section, determining variability of the geometric structure/topology as well as of the additional physical property over the surface section, and determining from these at variabilities an expected stability of co-registering datasets describing the predefined surface section. The present invention further relates to a corresponding computer program and a corresponding system for carrying out this method.

    SURFACE-GUIDED X-RAY REGISTRATION
    2.
    发明申请

    公开(公告)号:WO2018234237A1

    公开(公告)日:2018-12-27

    申请号:PCT/EP2018/066107

    申请日:2018-06-18

    Applicant: BRAINLAB AG

    Abstract: Disclosed is a computer-implemented method for determining the pose of an anatomical body part of a patient's body for planning radiation treatment, a corresponding computer program, a non-transitory program storage medium storing such a program and a computer for executing the program, as well as a system for determining the pose of an anatomical body part of a patient's body for planning radiation treatment, the system comprising an electronic data storage device and the aforementioned computer.

    PATIENT POSITIONING USING A SKELETON MODEL
    3.
    发明申请

    公开(公告)号:WO2019110105A1

    公开(公告)日:2019-06-13

    申请号:PCT/EP2017/081839

    申请日:2017-12-07

    Applicant: BRAINLAB AG

    Abstract: First and second skeleton model data is determined based on first and second surface data of a patient. Each of the skeleton model data describes geometries of rigid anatomic structures of a patient at a different point in time. Skeleton difference data is determined describing differences between the geometries of the rigid anatomic structures.In a next step, movement instruction data is determined which describes movement to be performed by the rigid anatomic structures to minimize the differences, i.e. to correct the posture of the patient. The movement instruction data is for example determined based on anatomy constraint data which describes anatomical movement constraints for the rigid anatomic structures (e.g. range of motion of a joint). An instruction is displayed (e.g. using augmented reality), guiding the user how to move the rigid anatomic structures so as to correct the patient's posture.

    DETERMINING THE RELATIVE POSITION BETWEEN A POINT CLOUD GENERATING CAMERA AND ANOTHER CAMERA

    公开(公告)号:WO2018215053A1

    公开(公告)日:2018-11-29

    申请号:PCT/EP2017/062384

    申请日:2017-05-23

    Applicant: BRAINLAB AG

    Abstract: A method for determining the relative position between a first camera and a second camera used in a medical application, wherein the first camera captures a 2D image of a phantom, the second camera emits light onto the phantom and analyzes the reflected light, thus generating a 3D point cloud representing points on the surface of the phantom, and the phantom has a planar surface forming a background on which a plurality of 2D markers are formed, wherein one of the background and the 2D markers is reflective, thus reflecting light emitted by the second camera back to the second camera, and the other one is non-reflective, thus not reflecting light emitted by the second camera back to the second camera, the method involving that a) the first camera captures a 2D image of the phantom, b) the second camera generates a 3D point cloud representing the planar surface of the phantom, c) the 2D markers are identified in the 2D image, thus obtaining 2D marker data representing the locations of the 2D markers in the 2D image, d) the 2D markers are identified in the 3D point cloud using the property that points on a non- reflective part of the planar surface are identified as having a larger distance to the second camera than points on a reflective part of the planar surface, thus obtaining 3D marker data representing the locations of the 2D markers in a reference system of the second camera, and e) finding the relative position between the first camera and the second camera by applying a Perspective-n-Points algorithm on the 2D marker data and the 3D marker data.

    MONITORING A PATIENT'S POSITION USING A PLANNING IMAGE AND SUBSEQUENT THERMAL IMAGING
    5.
    发明申请
    MONITORING A PATIENT'S POSITION USING A PLANNING IMAGE AND SUBSEQUENT THERMAL IMAGING 审中-公开
    使用规划图像和后期热成像监视患者的位置

    公开(公告)号:WO2017191207A1

    公开(公告)日:2017-11-09

    申请号:PCT/EP2017/060567

    申请日:2017-05-03

    Applicant: BRAINLAB AG

    Abstract: Disclosed is a computer-implemented medical data processing method for supporting positioning a patient for treatment by at least one of radiotherapy or radiosurgery, the method comprising executing, on at least one processor of at least one computer, steps of: a) acquiring (S11), at the at least one processor, planning image data describing a digital planning image of an anatomical body part of a body (1) of the patient; b) acquiring (S12), at the at least one processor, planning image alignment data describing a relative position between the anatomical body part and a predetermined reference position at the point in time when the planning image data was generated; c) acquiring (S13), at the at least one processor, thermal reference image data describing a thermal reference image of the anatomical body part; d) acquiring (S14), at the at least one processor, thermal imaging device reference position data describing a relative position between a thermal imaging device (17) used for taking the thermal reference image and the predetermined reference position; e) determining (S15), by the at least one processor and based on the planning image data and the planning image alignment data and the thermal image data and the thermal imaging device position data, image projection data describing a projection of the image representation of at least the anatomical body part described by the planning image data onto the image representation of the anatomical body part described by the thermal reference image data.

    Abstract translation: 公开了一种计算机实现的医疗数据处理方法,用于支持通过放射疗法或放射手术中的至少一个来放置患者进行治疗,所述方法包括:在至少一个计算机的至少一个处理器上, 步骤:a)在所述至少一个处理器处获取(S11)计划图像数据,所述计划图像数据描述所述患者的身体(1)的解剖身体部位的数字计划图像; b)在所述至少一个处理器处获取(S12)计划图像对准数据,所述计划图像对准数据描述在生成所述计划图像数据时的所述解剖身体部位与预定参考位置之间的相对位置; c)在所述至少一个处理器处获取(S13)描述所述解剖身体部位的热参考图像的热参考图像数据; d)在所述至少一个处理器处获取(S14)热成像装置参考位置数据,所述热成像装置参考位置数据描述用于取得所述热参考图像的热成像装置(17)与所述预定参考位置之间的相对位置; e)由所述至少一个处理器并且基于所述计划图像数据和所述计划图像对准数据以及所述热图像数据和所述热成像设备位置数据来确定(S15)图像投影数据,所述图像投影数据描述所述图像表示的投影 至少将由计划图像数据描述的解剖学身体部位描绘到由热参考图像数据描述的解剖学身体部位的图像表示上。

    DETERMINATION OF REGISTRATION ACCURACY
    6.
    发明申请
    DETERMINATION OF REGISTRATION ACCURACY 审中-公开
    确定注册准确性

    公开(公告)号:WO2017101990A1

    公开(公告)日:2017-06-22

    申请号:PCT/EP2015/079911

    申请日:2015-12-16

    Applicant: BRAINLAB AG

    CPC classification number: G06T7/0002 G06T3/0068 G06T7/30 G06T2207/30168

    Abstract: A medical data processing method, performed by a computer (2), for determining error analysis data describing the registration accuracy of a first elastic registration between first and second image data (A, B) describing images of an anatomical structure of a patient, comprising the steps of: - acquiring the first image data (A) describing a first image of the anatomical structure, - acquiring the second image data (B) describing a second image of the anatomical structure, - determining first registration data describing a first elastic registration of the first image data (A) to the second image data (B) by mapping the first image data (A) to the second image data (B) using a registration algorithm, - determining second registration data describing a second elastic registration of the second image data (B) to the first image data (A) by mapping the second image data (B) to the first image data (A) using the registration algorithm, - determining error analysis data describing the registration accuracy of the first elastic registration based on the first registration data and the second registration data.

    Abstract translation: 由计算机(2)执行的用于确定错误分析数据的医学数据处理方法,所述错误分析数据描述在描述图像的第一和第二图像数据(A,B)之间的第一弹性配准的配准精度, 包括以下步骤: - 获取描述解剖结构的第一图像的第一图像数据(A), - 获取描述解剖结构的第二图像的第二图像数据(B), - 确定所述解剖结构的第二图像 通过使用配准算法将第一图像数据(A)映射到第二图像数据(B)来描述第一图像数据(A)到第二图像数据(B)的第一弹性配准的第一配准数据, - 确定第二配准 通过使用配准算法将第二图像数据(B)映射到第一图像数据(A)来描述第二图像数据(B)到第一图像数据(A)的第二弹性配准的数据, - 确定错误分析数据descr 根据第一注册数据和第二注册数据提供第一次弹性注册的注册准确性。

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