Abstract: The invention relates to a method of determining a radiotherapy treatment plan for radiotherapy treatment of a treatment body part of a patient's body. The method can include acquiring treatment target position data comprising treatment target position information describing the position of a treatment target to be treated by radiotherapy in the treatment body part. Statistic model target region position data is acquired, which describes the position of a model target region in a model body part corresponding to the treatment body part. Based on the treatment target data and the statistic model target region position data, irradiation region position data is determined that describes the position of an irradiation region to be treated by irradiation with treatment radiation in the treatment body part.

Abstract: A hybrid phantom including a planar surface that includes a background surface having one of a first property and a second property, and a plurality of marker surfaces. Each marker surface of the plurality of marker surfaces having the other one of the first property and the second property. The first property involves having a high thermal emissivity of 0.8 or higher and the second property involves having a low thermal emissivity of 0.2 or less. One of the first property and the second property further involves being diffuse reflective and the other one of the first property and the second property further involves being specular reflective. A method using a system comprising the hybrid phantom, a first, thermal camera, a second, three-dimensional (3D) camera, and a computer.

Abstract: Disclosed is a method for determining a positional pattern of an irradiation unit for irradiating a patient with treatment radiation. Optimal order data describing an order of the irradiation unit positions for which the statistical value is optimal is determined. The optimal order data is determined based on irradiation unit position data describing irradiation unit positions of the irradiation unit for which the imaging device has a free viewing direction onto the position of the patient, position orders data describing all possible orders of the irradiation unit positions for which the imaging device has a free viewing direction onto the position of the patient, and intersection angle data describing a statistical quantity of the intersection angles between free viewing directions of the imaging unit for irradiation unit positions which are immediately subsequent in the order described by the position orders data.

Abstract: A computer implemented method for determining a two dimensional DRR referred to as dynamic DRR based on a 4D-CT, the 4D-CT describing a sequence of three dimensional medical computer tomographic images of an anatomical body part of a patient, the images being referred to as sequence CTs, the 4D-CT representing the anatomical body part at different points in time, the anatomical body part comprising at least one primary anatomical element and secondary anatomical elements, the computer implemented method comprising the following steps: acquiring the 4D-CT; acquiring a planning CT, the planning CT being a three dimensional image used for planning of a treatment of the patient, the planning CT being acquired based on at least one of the sequence CTs or independently from the 4D-CT, acquiring a three dimensional image, referred to as undynamic CT, from the 4D-CT, the undynamic CT comprising at least one first image element representing the at least one primary anatomical element and second image elements represen

Abstract: The present invention relates to a medical data processing method of determining an outcome quality of a medical procedure, the method comprising the following steps which are constituted to be executed by a computer: a) acquiring (S1) pre-completion medical image data describing an anatomical structure of a patient's body in a state before the medical procedure has been completed on the anatomical structure, the anatomical structure being subject to the medical procedure; b) acquiring (S1) pre-completion non-image medical data describing a state and medical history of the patient before the medical procedure has been completed on the anatomical structure; c) acquiring (S2) medical procedure planning data describing a plan for execution of the medical procedure to be carried out on the anatomical structure; d) determining (S2), based on the pre-completion medical image data and the medical procedure planning data, procedure application describing an application of the medical procedure planning data to the pr

Abstract: The invention relates to a computer-implemented medical data processing method for determining a heartbeat signal describing the heartbeat of a patient in the time domain, the method comprising executing, on a processor of a computer, steps of: a) acquiring, at the processor, acceleration measurement data describing an acceleration in the time domain of an anatomical body part measured on an external surface of the anatomical body part; b) determining, by the processor, component analysis data describing a result of an independent component analysis in the time domain of the acceleration measurement data; c) acquiring, at the processor, heartbeat template data describing template shapes of heartbeat in the time domain; d) determining, by the processor and based on the component analysis data and the heartbeat template data, recurrent shape data describing a recurrence of certain signal shapes in the component analysis data; e) determining, based on the recurrent shape data, heartbeat signal data describing a

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.

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.

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