公开(公告)号：US11645768B2

公开(公告)日：2023-05-09

申请号：US16091377

申请日：2018-02-07

Applicant: Brainlab AG

Inventor： Kajetan Berlinger ,  Michael Stead

IPC: G06T7/33 ,  G06T7/30 ,  G06T7/73 ,  G06T7/246 ,  A61B5/00 ,  A61N5/10 ,  A61B34/10 ,  G16H30/40 ,  G06T7/00 ,  G06T11/00 ,  A61B90/00

CPC classification number: G06T7/33 ,  A61B5/0077 ,  A61B5/7292 ,  A61B34/10 ,  A61N5/1037 ,  A61N5/1039 ,  A61N5/1049 ,  G06T7/0014 ,  G06T7/248 ,  G06T7/251 ,  G06T7/30 ,  G06T7/74 ,  G06T7/75 ,  G06T11/003 ,  G16H30/40 ,  A61B2034/107 ,  A61B2090/3762 ,  A61N2005/1059 ,  G06T2207/10072 ,  G06T2207/10081 ,  G06T2207/10116 ,  G06T2207/20128 ,  G06T2207/20221 ,  G06T2207/30008 ,  G06T2207/30081 ,  G06T2207/30096 ,  G06T2207/30196

Abstract: The present invention involves positionally identifying several anatomical structures of interest of a patient's anatomy on images which have been acquired at different points of time. For each anatomical structure a separate image fusion transformation between these images is performed. For at least one of the image fusion transformations it is then determined whether this transformation is within a predetermined threshold, wherein for this determination, at least one further image fusion transformation of another anatomical structure is taken into account.

公开(公告)号：US11266857B2

公开(公告)日：2022-03-08

申请号：US16078498

申请日：2018-02-07

Applicant: Brainlab AG

Inventor： Kajetan Berlinger ,  Michael Stead

IPC: A61N5/10 ,  G06T7/246

Abstract: The inventive approach positionally determines a periodically moving structure of a patient's anatomy by acquiring one or more images of a periodically moving anatomical structure of interest. The exposure time of each image covers at least one whole motion cycle of the structure, such that each acquired image depicts at least one whole motion cycle.

公开(公告)号：US11938344B2

公开(公告)日：2024-03-26

申请号：US17255558

申请日：2019-07-08

Applicant: Brainlab AG

Inventor： Hagen Kaiser ,  Michael Stead

IPC: A61N5/10

CPC classification number: A61N5/1049 ,  A61N5/107 ,  A61N2005/105

Abstract: Provided is a method of positioning a patient for radiation treatment and/or of monitoring a position of the patient during radiation treatment. The method includes providing surface data from a 3D surface scanner indicative of a surface of a body part of the patient to be irradiated in the radiation treatment. Surface data are calibrated with respect to a relative position of the 3D surface scanner and an isocenter position of a radiation treatment apparatus. A beam path of a radiation beam is determined based on planning data for the radiation treatment and intersected with a part of the surface of the patient represented by the surface data. Further, at least a first portion of the patient's surface located inside the beam path and/or at least a second portion of the patient's surface located outside the beam path is calculated.

公开(公告)号：US11794035B2

公开(公告)日：2023-10-24

申请号：US17046077

申请日：2019-08-13

Applicant: Brainlab AG

Inventor： Kajetan Berlinger ,  Hagen Kaiser ,  Michael Stead

IPC: A61N5/10 ,  A61B6/00

CPC classification number: A61N5/1049 ,  A61B6/488 ,  A61N2005/1059

Abstract: The present invention relates to a computer-implemented medical method for monitoring a spatial position of a patient's body part, wherein at least one optimum spatial direction for a line of sight of a check x-ray-image is determined, that qualifies for quantifying a deviation of the spatial position of the patient's body part from a target spatial position for the patient's body part. The present invention further relates to a corresponding computer program and a corresponding medical system.

公开(公告)号：US11511131B2

公开(公告)日：2022-11-29

申请号：US16537886

申请日：2019-08-12

Applicant: Brainlab AG

Inventor： Kajetan Berlinger ,  Michael Stead

IPC: A61N5/10

Abstract: Disclosed is a computer-implemented method which encompasses comparing the requirements for radiation therapy imposed by a patient's individual condition to the capabilities and requirements of different types of treatment machines to determine a suitable radiation treatment strategy including an identification of the treatment machine which shall be used and a treatment plan. Furthermore, a treatment plan is generated by simulating the envisaged radiation treatment. The type of treatment machine associated with a predetermined value for the sum of weights for all fields assigned to that treatment machine is determined as the treatment machine for treating the patient, and corresponding information is output detailing the treatment specifics such as radiation treatment parameters specifically suited for the patient target region tumor thereby reducing radiation exposure, efficient use of the machine and appropriate gating and tracking modes.