Abstract: The present invention relates to a medical tracking system comprising at least one sensor device which can be positioned in a fixed position relative to a target, the sensor device comprising a marker device and a marker device detector, the marker device detector being capable of obtaining information for determining a relative position between the marker device detector and another marker device, the system further comprising a control unit configured to process a medical navigation workflow and to select the function of the sensor device as either acting as a marker device detector or as a marker device in a step of the medical navigation workflow.
Type:
Grant
Filed:
November 9, 2018
Date of Patent:
September 1, 2020
Assignee:
Brainlab AG
Inventors:
Stefan Vilsmeier, Christian Brack, Ingmar Hook, Timo Neubauer
Abstract: A medical image processing method performed by a computer, for measuring the spatial location of a point on the surface of a patient's body including: acquiring at least two two-dimensional image datasets, wherein each two-dimensional image dataset represents a two-dimensional image of at least a part of the surface which comprises the point, and wherein the two-dimensional images are taken from different and known viewing directions; determining the pixels in the two-dimensional image datasets which show the point on the surface of the body; and calculating the spatial location of the point from the locations of the determined pixels in the two-dimensional image datasets and the viewing directions of the two-dimensional images; wherein the two-dimensional images are thermographic images.
Type:
Grant
Filed:
December 2, 2014
Date of Patent:
August 25, 2020
Assignee:
BRAINLAB AG
Inventors:
Hagen Kaiser, Stephen Froehlich, Stefan Vilsmeier
Abstract: A data processing method performed by a computer for determining breathing signal data which represents a breathing cycle of a patient, comprising the steps of: —acquiring image data representing a sequence of training thermal images of at least a part of the surface of the patient's body over time, the sequence covering at least one half breathing cycle and being captured by a thermographic camera; and —tracking at least one tracked point in the image data over the sequence of training thermal images to find a trajectory of the tracked point as the breathing signal data, wherein the tracked point is a point on the surface of the patient's body.
Abstract: A method for removing ghost markers from a measured set of medical markers, wherein the measured set of markers represents the positions of real markers and the positions of ghost markers, comprising the steps of: —calculating all possible minimal marker sets, wherein a minimal marker set is a subset of the measured set and a minimal marker set consists of the smallest possible number of markers which would cause the measured set to be measured; —calculating the smallest extent of each minimal marker set, wherein the smallest extent is the smallest extent among the extents in three orthogonal directions; and —selecting the minimal marker set having the smallest out of the smallest extents as a marker set without ghost markers.
Abstract: The present invention relates to a computer-implemented medical data processing method for determining a 2D-view within an acquired 3D-image-dataset of a patient, wherein the method comprises executing, on a processor of a computer, the following steps: a) a representation of at least one anatomical structure (2) of interest is identified in the 3D-image-dataset and registered with the at least one anatomical structure (2); b) the spatial position of the at least one anatomical structure (2) and the spatial position of a predetermined section of a medical instrument (1) are determined in real space; c) the 2D-view is determined within the 3D-image-dataset, wherein the view-plane of the 2D-view is defined on the basis of the spatial position of the medical instrument (1), and wherein the view-center (B) of the 2D-view is defined on the basis of the relative spatial position of a predetermined section of the medical instrument (1) and the at least one anatomical structure (2); d) the relative position of the de
Type:
Grant
Filed:
April 19, 2017
Date of Patent:
June 2, 2020
Assignee:
BRAINLAB AG
Inventors:
Thomas Feilkas, Thomas Drexl, Sabrina Sainer, Jorge Acosta, Martin Lohmann
Abstract: Disclosed is a method for determining an irradiation trajectory for the movement of a treatment device for irradiating an anatomical structure with ionising treatment radiation, the method comprising steps of acquiring medical image data describing a medical image of the anatomical structure; determining, based on the medical image data, image concavity data; acquiring predetermined concavity data; determining, based on the image concavity data and the predetermined concavity data, partition data; determining, based on the medical image data, partition boundary data; and determining, based on the partition boundary data, irradiation trajectory data.
Type:
Grant
Filed:
October 15, 2015
Date of Patent:
May 5, 2020
Assignee:
Brainlab AG
Inventors:
Andreas Schaetti, Stefan Schell, Robert Grummt
Abstract: Disclosed is a computer-implemented method for determining a coverage of a target anatomical structure by an electric stimulation field, the method comprising executing, on at least one processor of at least one computer, steps of: a) acquiring patient image data describing a medical image of the anatomical body part of a patient, wherein the anatomical body part includes the target anatomical structure b) acquiring atlas data describing a model of the anatomical body part and information about the position of a model target structure in the model of the anatomical body part, the model target structure corresponding to the target anatomical structure; c) determining, based on the patient image data and the atlas data, target structure position data describing a position of the target anatomical structure in the medical image of the anatomical body part of the patient; d) acquiring, electrode position data describing a relative position between a position of an electrode and a position of the anatomical bod
Abstract: A medical data processing method and system determines the position of an artifact in patient image data describing a set of tomographic slice images of an anatomical structure of a patient. The images are described by color Values. Color value difference data describing differences in color values for image elements in adjacent slice images is determined. At least one of positive or negative difference data, describing a subset of the differences and consisting of differences having a positive or negative value are determined. Smoothed difference data describing a smoothing of the differences contained in the positive or negative difference data are determined and, based on the positive or negative difference data and the smoothed difference data, artifact position data is determined describing the position of an artifact in the patient image data.
Abstract: A method of operating a medical registration system, the medical registration system comprising a robot which carries a surface point sampling device and comprising a computer connected to the robot, to obtain a registration of a 3D image of a patient with the patient (P) by: a) acquiring the 3D image of the patient; b) acquiring an initial registration of the 3D image with the patient as the registration; c) instructing the robot to sample the spatial locations of N different points on the surface of the patient using the surface point sampling device, wherein N is a positive integer; d) updating the registration based on the spatial locations of the N sampled points; and e) repeating steps c) and d) until a predetermined exit condition is fulfilled.
Type:
Grant
Filed:
February 12, 2016
Date of Patent:
April 14, 2020
Assignee:
BRAINLAB AG
Inventors:
Wolfgang Steinle, Christoffer Hamilton, Nils Frielinghaus
Abstract: A data processing method for determining a path of a neural fibre in a patient, comprising the steps of: a) acquiring an atlas dataset representing an atlas of a fibrous structure comprising the neural fibre b) acquiring a nerve indicating dataset comprising information suitable for identifying the neural fibre in the patient c) calculating a matched atlas dataset by registering the atlas dataset with the nerve indicating dataset d) obtaining a generic path of the neural fibre from the matched atlas dataset e) defining a constraining volume in the patient around the generic path, the constraining volume having at least two end surfaces on which the generic path ends and f) determining the path of the neural fibre between end surfaces using a probabilistic approach, wherein the determined path lies completely within the constraining volume.
Abstract: Disclosed is a medical data processing method for determining control data for an automated movement of a robotic system (1) to move a tool operatively associated with the robotic system (1), wherein the method comprises executing, on at least one processor of at least one computer (4), steps of: a) acquiring (S1) image data describing an image of an anatomical structure of a patient; b) determining (S2) planned position data, based on the image data, describing at least one planned position of the tool relative to the anatomical structure of the patient; c) acquiring (S3) status change data describing the change of data a status of the robotic system (1) from a first status to a second status, wherein in the first status a manual movement of at least one part of the robotic system (1) is allowed and in the second status a manual movement of the at least one part of the robotic system is inhibited; d) acquiring (S4) actual position data describing the actual position of an element of the statue change data ro
Type:
Grant
Filed:
September 13, 2016
Date of Patent:
March 31, 2020
Assignee:
BRAINLAB AG
Inventors:
Wolfgang Steinle, Christian Rabus, Nils Frielinghaus