Determining Soft-Tissue Shift Taking Into Account Bony Shift

    公开(公告)号:US20150367146A1

    公开(公告)日:2015-12-24

    申请号:US14759906

    申请日:2013-05-07

    Applicant: BRAINLAB AG

    Abstract: A medical data processing method for determining a change in the position of a soft tissue body part of a patient's body, the data processing method being constituted to be executed by a computer and comprising the following steps: a) acquiring (S10, S20) bony body part planned position data comprising bony body part planned position information describing a planned position of a bony body part of the patient's body; b) acquiring (S10, S20) soft tissue body part planned position data comprising soft tissue body part planned position information describing a planned position of the soft tissue body part; c) acquiring (S11, S21) bony body part actual position data comprising bony body part actual position information describing an actual position of the bony body part; d) acquiring (S11, S21) soft tissue body part actual position data comprising soft tissue body part actual position information describing an actual position of the soft tissue body part; e) determining (S12, S22), based on the bony body part planned position data and the bony body part actual position data, bony body part position transformation data comprising bony body part position transformation information describing a bony body part position transformation between the planned position and the actual position of the bony body part; f) determining (S13, S23), based on the bony body part position transformation data and the soft tissue body part actual position data, soft tissue transformed actual position data comprising soft tissue transformed actual position information describing a transformed actual position of the soft tissue body part; g) determining (S14, S24), based on the soft tissue transformed actual position data and the soft tissue body part planned position data, soft tissue body part position transformation data comprising soft tissue body part position transformation information describing a soft tissue body part position transformation between the planned position of the of the soft tissue body part and the transformed actual position of the soft tissue body part.

    ISOCENTRIC PATIENT ROTATION FOR DETECTION OF THE POSITION OF A MOVING OBJECT
    23.
    发明申请
    ISOCENTRIC PATIENT ROTATION FOR DETECTION OF THE POSITION OF A MOVING OBJECT 审中-公开
    用于检测移动物体位置的异质性患者旋转

    公开(公告)号:US20150243025A1

    公开(公告)日:2015-08-27

    申请号:US14431831

    申请日:2012-09-28

    Applicant: BRAINLAB AG

    Abstract: The invention relates to a method for determining the position of an object moving within a body, wherein the body is connected to markers, a movement signal is determined based on the measured movement of the markers, images are taken from the object using a camera or detector, wherein the camera or detector is moved with respect to the object, it is determined from which direction or range of angles or segment the most images corresponding to a predefined cycle of the movement signal are taken, and using at least some or all of the images of the segment containing the most images for a specified movement cycle, an image of the object is reconstructed.

    Abstract translation: 本发明涉及一种用于确定在身体内移动的物体的位置的方法,其中身体连接到标记,基于所测量的标记的移动来确定移动信号,使用照相机从物体中取出图像, 检测器,其中相机或检测器相对于物体移动,确定从哪个方向或角度范围或者划分对应于移动信号的预定周期的最多图像,并且使用至少部分或全部 包含指定移动周期的最多图像的片段的图像,对象的图像被重建。

    Computation of a breathing curve for medical applications

    公开(公告)号:US12232865B2

    公开(公告)日:2025-02-25

    申请号:US16957430

    申请日:2019-07-08

    Applicant: Brainlab AG

    Abstract: A computer-implemented medical method of determining a breathing signal of a patient is disclosed. The method includes determining a motion trajectory of a structure associated with at least one body part of the patient, the motion trajectory being indicative of a respiratory movement of the structure, acquiring surface data representative of a position of a surface region of the patient, computing an intersection of the determined motion trajectory and the acquired surface data, and determining a breathing signal of the patient based on the computed intersection. The breathing signal is indicative of a breathing state of the patient.

    Soft Tissue Stereo-Tracking
    30.
    发明申请

    公开(公告)号:US20210312644A1

    公开(公告)日:2021-10-07

    申请号:US17352683

    申请日:2021-06-21

    Applicant: Brainlab AG

    Abstract: The disclosed method encompasses reconstruction of a three-dimensional position of a tracking structure (which may comprise a target of radiation treatment) as reconstructed tracking structure data from pairs of two-dimensional tracking images which are input as tracking image data. Each tracking image contained in a pair of tracking images is compared to a tracking representation of the tracking structure contained in a search template image generated from the same perspective onto the tracking structure as the associated tracking image and input as search template data. The tracking image having the highest at local degree of similarity to its associated search template image is selected as a starting point (the first tracking image) for computing a corresponding image position (a complement point) in the other tracking image (the second tracking image) on the basis of applying epipolar geometry outgoing from the position in the first tracking image associated with the highest local degree of similarity. The method then continues with determining whether there is a point in the second tracking image having a higher degree of similarity than the complement point. Depending on the result of this analysis, an accumulated value of similarity is determined for each pair of tracking images depending on the sum of similarity values of the maximum similarity points in the first and second tracking images so determined. The position of the tracking structure is determined as the intersection of back-projection lines of the points being associated with the highest sum of associated similarity values. Thereby, the reliability of position determination from stereoscopic two-dimensional x-ray images can be enhanced.

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