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.

Abstract: The present invention relates to a computer-implemented medical method, a computer program and a system (1) for controlling a display (6) in a medical environment based a user's (8) viewing direction and gestures performed by the user (8), particularly involving the use of AR-goggles (9).

Abstract: Disclosed is a computer-implemented medical data processing method for determining an orientation of an electrode, the electrode being configured for electrically stimulating an anatomical structure of a patient and comprising a rotational orientation marker, the method comprising executing, on at least one processor of at least one computer, steps of: a) acquiring (S1.1), at the at least one processor, rotational image data describing two-dimensional medical images of the anatomical structure and the electrode, the two-dimensional medical images having been taken with a two-dimensional medical imaging apparatus during rotation of the medical imaging apparatus relative to the anatomical structure, the rotational image data further describing, for each of the two-dimensional medical images, an imaging perspective relative to the anatomical structure associated with the respective two-dimensional medical image; b) determining (S1.

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 firs

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

Abstract: The invention relates to a medical navigation marker device (1; 2; 3) comprising a light reflector, characterised in that the reflector features a marker pattern (11, 12, 13; 11, 12, 13, 14, 15, 16; 27, 28; 34, 37; 35, 37) having the following features:—the marker pattern (11, 12, 13; 11, 12, 13, 14, 15, 16; 27, 28; 34, 37; 35, 37) points in more than one spatial direction; —the marker pattern (11, 12, 13; 11, 12, 13, 14, 15, 16; 27, 28; 34, 37; 35, 37) comprises at least one moire pattern (11, 12, 13; 27; 37) which points in more than one spatial direction; and—the marker pattern (11, 12, 13; 11, 12, 13, 14, 15, 16; 27, 28; 34, 37; 35, 37) comprises a face identification pattern (14, 15, 16; 25, 26; 34; 35) which identifies the face of the marker being viewed from a particular spatial direction.

Abstract: A method and device is described for delivering radiation therapy beam arrangement and beam settings to a radiotherapy device treating a patient with a tumor based medical condition. Patient specific treatment parameters data for the medical condition are developed and modified by the system. The treatment parameters data includes at least radiotherapy beam arrangement or photon beam energy for treatment of the particularized patient tumor location. Patient specific treatment parameters data are derived from a selected treatment plan and may include outlining of the patient's tumor in the medical images, the relevant modified patient specific treatment parameters data transferred to a computer controlling the radiotherapy device to control and apply radiotherapy treatment to the patient according to the modified treatment data.

Abstract: The present invention relates to a head immobilization system for immobilizing a patient's head in a supine position of the patient, the system comprising: a support rail structure adapted to be coupled to a patient rest and extending at least on both lateral sides of the patient's head, a mask frame adapted to be coupled to at least one deformable upper mask sheet, wherein the mask frame is releasably connected to the support rail structure via a first interface section and a second interface section, with at least two pins protruding from the first interface section in a first direction, and at least two pin-receptions provided at the second interface section, wherein each one of the pin-receptions receives one of the pins, and a catch-mechanism for each pin-reception and each corresponding pin, which allows the pin to be pushed further into the pin-reception in the first direction, but which interlocks in case of an attempted withdrawal of the pin from the pin-reception in a second, opposite direction.

Abstract: A computer-implemented medical method of irradiation treatment planning is provided. Therein, an initial coverage volume for a planning target volume, which is to be irradiated in an irradiation treatment with a prescribed dose, is provided. Further, at least one constraint indicative of an allowed dose for an organ at risk is provided. Applying an initial irradiation treatment plan, an organ dose deposited in at least a partial volume of the organ at risk is calculated. Based on comparing the organ dose to the at least one constraint, an amount of violation is determined. Taking into account the determined amount of violation, a reduction coverage volume is calculated for the planning target volume and a virtual planning object is generated based on changing a volume of the organ at risk, such that an overlap region of the virtual planning object and the planning target volume corresponds to the reduction coverage volume.

Abstract: Disclosed is a medical image data processing method for determining a clinical target volume for a medical treatment, wherein the method comprises executing, on at least one processor (3) of at least one computer (2), steps of: a) acquiring (S1) first image data describing at least one image of an anatomical structure of a patient; b) acquiring (S2) second image data describing an indicator for a preferred spreading direction or probability distribution of at least one target cell; c) determining (S3) registration data describing a registration of the first image data to the second image data by performing a co-registration between the first image data and the second image data using a registration algorithm; d) determining (S4) gross target region data describing a target region in the at least one image of the anatomical structure based on the first image data; e) determining (S5) margin region data describing a margin around the target region based on the gross target region data; f) determining (S6) clini

Abstract: Provided is a method for generating pose transformation data between first and second rigidly mounted digital cameras having non-coincident fields of view. The method includes obtaining a first plurality of images of a first calibration object, obtaining a second plurality of images of the first or a second calibration object, generating first and second object point data, generating first and second calibration data of the first and second digital cameras, determining first pose data between a first frame of reference of the first digital camera and the frame of reference of the first calibration object, determining second pose data between the frame of reference of the second digital camera and the frame of reference of the first or second calibration objects, and calculating the pose transformation data between the pose of the first digital camera and the pose of the second digital camera.

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.

Abstract: A computer-implemented method for determining a target position of an X-ray device encompasses acquiring image data describing an anatomical structure of a patient, for example, by means of a 3D scan, and registering the image data relative to a coordinate system of the patient, for example by means of a navigation system. Furthermore, a trajectory of an implant positioned within the anatomical structure relative to the patient coordinate system is acquired. A target position of an X-ray device for acquiring an X-ray image of at least part of the implant is determined based on the registered image and the acquired trajectory of the implant.