Abstract:
A data processing method for determining six parameters, corresponding to six degrees of freedom, of a contact position of a joint which connects two bones, comprising the steps of acquiring a 3D model of each bone, acquiring four of the six parameters as a given parameters, selecting initial values for the two remaining parameters and varying the two remaining parameters virtually in order to achieve a virtual relative position between the two 3D models such that they are in contact with each other.
Abstract:
A data processing method for planning a medical treatment comprising following steps performed by a computer: acquiring reference patient data describing medical information on at least one reference patient including information on progression of the medical constitution of the at least one reference patient; acquiring current patient data describing medical information on a current patient; determining information on the progression of the medical constitution of the current patient based on the reference patient data and the current patient data.
Abstract:
A system, in particular for image-guided surgery, comprising: at least two display devices; a position determinator for determining the relative position of the display devices; and an image generator for generating images, which are to be displayed by the display devices, in accordance with the determined relative position.
Abstract:
Provided is a method for controlling a surgical navigation system. A detection unit for detecting system control inputs made by a user is associated with a surgical navigation system, the navigation system is controlled in accordance with the control inputs, and user gestures are used as said control inputs. A gesture or a initiating user gesture defines a virtual volume surrounding the initiating gesture's limits, and further predetermined gestures made in the virtual volume are recognized as a control input. Also provided is a control system for a surgical navigation system. The navigation system is associated with a detection unit for detecting system control inputs made by a user, the navigation system is controlled in accordance with the control inputs, and the detection unit includes a gesture detection system for detecting user gestures.
Abstract:
The present disclosure is directed to a system, method and apparatus for tracking an anatomical body part in a series of x-ray images. The anatomical body part moves due to a vital movement, such as breathing motion of the thorax. The anatomical body part is defined in a CT image acquired beforehand and is associated with a known movement phase during the vital movement. The series of x-ray images of the moving anatomical body part is taken. The movement phase associated with each one of the x-ray images is determined. In one implementation, the system may track the body part movement using external infrared-reflecting markers and a navigation system while taking a series of x-ray images and time-stamping the x-ray images and the positional information for the body part. The time stamps relate each one of the x-ray images with a specific movement phase of the body part. The specific x-ray image being associated with the same movement phase as the CT image is determined and the representation of the anatomical body part defined in the CT image can be determined in the x-ray image by comparing the CT image with the specific x-ray image. The specific x-ray image may be compared to the other x-ray images to find the anatomical body part in those x-ray images and preferably highlight it to be easily recognized by a user.
Abstract:
A medical data processing method of determining anatomical structure subset data describing a subset of a graphical representation 9 of an anatomical structure of a patient's body to be displayed simultaneously with a medical image of an anatomical body part 1, the method being constituted to be executed by a computer and comprising the following steps: a) acquiring predetermined anatomical structure representation data describing a graphical representation of the anatomical structure and its position in the patient's body; b) acquiring anatomical body part image data describing an image of an anatomical body part 1 of the patient imaged by an optical imaging apparatus 2 for display by a display apparatus 3; c) acquiring optical parameter data describing an optical parameter WD serving as a basis for displaying the anatomical body part image data; d) determining, based on the anatomical structure representation data and the anatomical body part image data and the optical parameter data, anatomical structure subset data describing a subset 9 of the anatomical structure representation data, which subset describes graphical representation of a structure subset of the anatomical structure to be displayed simultaneously with the image of the anatomical body part 1.
Abstract:
A medical data processing method for determining a target set comprising at least one irradiation target in a patient's body for radiation therapy treatment by means of a treatment device constituted to treat the at least one target by means of one or more sub-beams during a treatment time, the one or more sub-beams constituting at least one treatment beam which is to pass through the at least one target in accordance with a treatment plan during the treatment time, the method comprising the following steps and being constituted to be executed by a computer: a) acquiring (S 1.1) critical area; b) acquiring (S 1.2) target data; c) acquiring (S 1.3) treatment beam criteria data (S 1.4); and e) determining (S4), based on the critical area data, the target data, the treatment beam constraint data and the treatment beam criteria data, target set data describing spatial information on at least one irradiation region.
Abstract:
A data processing method for determining an enhancing structure of interest within an anatomical body part, wherein the structure of interest exhibits an enhanced signal in an image of the anatomical body part generated by a medical imaging method using a contrast agent, said method being designed to be performed by a computer and comprising a region growing algorithm.
Abstract:
An image transformation method, performed by a computer, for determining a transformation between two medical images of an anatomical structure, respectively taken at a first and second point in time, said method comprising the steps of: acquiring first and second image datasets which represent the first and second image, respectively; determining an image-based transformation between the first image and the second image; acquiring an elastic model of the anatomical structure at the first point in time, wherein the elastic model comprises a plurality of nodes and the relationships between the nodes; calculating the displacements of a subset of the nodes in accordance with the image-based transformation; calculating the displacements of the other nodes in accordance with the relationships between the nodes as represented by the elastic model, while keeping the displacements of the nodes in the subset of nodes constant; and calculating the transformation from the displacement vectors which represent the displacements of the nodes as compared to their positions at the first point in time.
Abstract:
A data processing method for co-registering a medical 3D image dataset and a spatial reference (27), comprising the steps of: acquiring the 3D image dataset, wherein the 3D image dataset represents a medical CT image, a medical MR image or an angiograph of at least a part (20) of a patient and a set of hybrid markers (11); detecting the positions of the hybrid markers (11) in the 3D image dataset so as to obtain a scan matrix representing the arrangement of the set of hybrid markers (11) in the 3D image dataset and the position of the scan matrix in the 3D image dataset; acquiring the positions of the hybrid markers (11) with respect to the spatial reference (27), so as to obtain an image matrix (22a) representing the arrangement of the set of hybrid markers (11) in three-dimensional space and the position of the image matrix (22a) relative to the spatial reference (27); and co-registering the scan matrix and the image matrix (22a).