Abstract: The disclosed method encompasses reconstruction of a three-dimensional position of a tracking structure (which may comprise a target of radiation treatment) as reconstructed tracking structure data from pairs of two-dimensional tracking images which are input as tracking image data. Each tracking image contained in a pair of tracking images is compared to a tracking representation of the tracking structure contained in a search template image generated from the same perspective onto the tracking structure as the associated tracking image and input as search template data. The tracking image having the highest at local degree of similarity to its associated search template image is selected as a starting point (the first tracking image) for computing a corresponding image position (a complement point) in the other tracking image (the second tracking image) on the basis of applying epipolar geometry outgoing from the position in the first tracking image associated with the highest local degree of similarity.

Abstract: A method is provided for determining an orientation of nerve fibres relative to a non-physiological electric field. Patient medical image data is acquired, which describes a patient medical image of an anatomical body part of a patient's body. The anatomical body part includes nerve tissue comprising white matter nerve fibres. Diffusion image data is acquired, which describes a diffusion-enhanced image of the anatomical body part. Atlas data is acquired, which describes a spatial distribution of grey value-based tissue classes in a model body part representing a model of the anatomical body part. Based on the patient image data, the diffusion image data, and the atlas data, fibre orientation data is determined. The fibre orientation data describes an orientation of the white matter nerve fibres. Electric field orientation data is acquired, which describes an orientation of the non-physiological electric field.

Abstract: Disclosed is a computer-implemented medical data processing method for planning a position of an electric stimulation device for neurostimulation of at least two target regions (TV1, . . . , TVN) disposed in an anatomical body part of a patient's body, the electric stimulation device (7) comprising at least two electric contacts, the method comprising executing, on at least one processor of at least one computer (3), steps of: a) acquiring (S1.1), at the at least one processor, medical image data describing a digital image of the anatomical body part, wherein the anatomical body part contains at least two target regions (TV1, . . . , TVN); b) determining (S1.2), by the at least one processor and based on the medical image data, target position data describing a position of each target region (TV1, . . . , TVN) in the anatomical body part; c) acquiring (S1.

Abstract: The present invention relates to an adjustable trajectory guide having a guide portion adapted to hold or provide a guiding for a medical instrument along a defined trajectory, and at least one adjustment section comprising: at least one elongated flexible beam member connected at its first end to the guide portion, and having at its second end a first engagement interface adapted to provide a connection to a support structure holding the trajectory guide; at least one second engagement interface which is movable relative to the at least one beam member and which is adapted to provide a connection to an actuator, at least one coupling member coupling the first end of the beam member to the second engagement interface, wherein the coupling member is capable of transmitting force and/or torque from the second engagement interface to the first end of the beam member.

Abstract: This document relates to a medical application of augmented reality in which areal image shows a medical device, or at least a part thereof. In an exemplary application, the real image further shows at least a part of a patient's body which is (to be) treated using the medical device. A part of the medical device might not be visible in the real image, for example because it extends into or behind the patient's body. In this case, the virtual image can comprise an augmentation of the medical device, which, for example, represents at least the part of the medical device which is invisible in the real image. This document in particular addresses a correct alignment of the augmentation with the medical device.

Abstract: Provided is a reference array holder, including a first segment configured to be mounted to a reference structure, and a second segment supporting a reference array having at least one tracking marker, wherein the second segment is movably coupled to the first segment via at least one coupling, and wherein the at least one coupling includes a sensor that provides information as to the spatial position of the second segment relative to the first segment. Also provided is tracking and/or navigation system including such reference array holder and to a computer implemented method of controlling a reference array holder.

Abstract: Disclosed is a computer-implemented method for generating an anonymized medical image of an anatomical body part of a patient, a corresponding computer program, a program storage medium storing such a program and a computer for executing the program, as well as a medical system comprising an electronic data storage device and the aforementioned computer. The disclosed method encompasses establishing a mapping from a patient image onto an atlas, changing that mapping, and applying the inverse of the changed mapping to the atlas in order to transform image content from the atlas to the patient image in order to achieve a deformed and thereby anonymised appearance of the patient image.

Abstract: A system and method of producing a medical support device is disclosed. The disclosure determining a three-dimensional shape of the medical support device for supporting an anatomical body part of a patient, the method executed by a computer and including acquiring body part geometry data describing a geometry of the anatomical body part; acquiring medical procedure data describing a medical procedure to be carried out on the patient; acquiring atlas data describing a general three-dimensional shape of the anatomical body part; determining, based on the body part geometry data and the medical procedure data and the atlas data, support device geometry data describing the geometry of the support device. The method and system further includes generative forming of the device by issuing at least one control command to the generative forming device for forming the medical support device based on the support device geometry data.

Abstract: A method and system supports pre-positioning a patient for treatment by radiotherapy or radiosurgery. The disclosed method encompasses comparing an image of a reference structure having a known position relative to an anatomical body part of a patient, such as a live thermal/infrared image of the reference structure, to a predetermined medical image of the reference structure associated with a known position relative to a reference position, such as a known isocenter of a radiotherapy or radiosurgery apparatus. On that basis, it is determined whether the reference structure has moved relative to the reference position. A decision may be made to determine whether the reference structure and therefore the patient has been correctly positioned and/or kept in his desired position relative to a treatment device, and to compensate for any possible positional deviation by moving the patient.

Abstract: A computer implemented method and a system for registering and tracking an anatomical structure of a patient. A method includes acquiring a first stereoscopic image dataset including video images having different viewing angles, and providing a first image content showing the anatomical structure; registering the first image dataset to a 3D image dataset showing the anatomical structure; acquiring a second stereoscopic image dataset comprising video images having different viewing angles and providing a second image content showing the anatomical structure, which differs from the first image content; and tracking the anatomical structure based on the second image dataset.

Abstract: The present invention relates to a data processing method performed by a computer, for determining geometric parameters of a phantom leg bone using a cutting guide that defines a cutting plane and that is configured to abut a predetermined surface section of the phantom leg bone. The method comprises acquiring cutting guide position data describing the spatial position of the cutting guide, acquiring relative position data describing the spatial position of a first mechanical axis point relative to the predetermined surface section of the phantom leg bone, and determining, based on the cutting guide position data and the relative position data, first axis point position data describing the spatial position of the first mechanical axis point of the phantom leg bone. The present invention further relates to a corresponding cutting guide and a corresponding computer program and computer.

Abstract: A magnetic resonance (MR) coil unit, comprising: —an MR coil body which houses at least one MR coil, the MR coil body having a front surface for facing a patient, a reverse surface opposite to the front surface, and at least one opening through the MR coil body which connects the front and reverse surfaces; —at least one MR marker located at least partly in said at least one opening in the MR coil body; and—at least one optical marker located above the reverse surface of the MR coil body.

Abstract: The invention relates to a method for controlling a medical apparatus, wherein: patient image data is generated using an image-generating medical apparatus; a patient image is produced on the basis of this data and displayed on an image output unit; and a medical apparatus is in turn controlled by an interaction with the image.

Abstract: A camera assembly (3) for use in medical tracking applications, comprising a range camera (4) and a thermographic camera (5) in a fixed relative position.

Abstract: The present invention relates to a method for setting up a patient for radiotherapy, wherein the patient is scanned prior to therapy in both, a free-breathing state and a DIBH-state for which the patient performs a so-called “deep inspiration breath-hold”. The obtained data is registered to a CT-dataset which forms the basis for a treatment plan. The patient is then set up with respect to a radiation treatment apparatus based on the data obtained for the free-breathing state.

Abstract: The invention relates to a sterile surgical drape comprising a cover portion for a tracking reference array, wherein at least a part of the cover portion is formed inherently stable and has a form adapted to accommodate multiple tracking markers of a tracking reference array for computer-assisted surgery. Further, it relates to a surgical draping system and a medical navigation method using such a drape.

Abstract: A data processing method performed by a computer for supporting a medical brain mapping procedure, comprising the steps of receiving a microscope image of a patient's cortex and superimposing stimulation response marks onto the microscope image, wherein a stimulation response mark indicates the patient's response to an electrical stimulation of the cortex by a stimulation probe at a position associated with the stimulation response mark.

Abstract: Disclosed is a computer-implemented method of determining an atlas element. The method encompasses acquiring model image data that describes at least one fixed element (an anatomical element such as an anatomical body part, for example, a rib). Patient image data is acquired that describes an improvable element (an anatomical element such as an anatomical body part, for example heart). Region data is acquired, for example by assigning a homogeneous grey value to a region of the model image. The patient image is matched to the model image, wherein no matching is performed within the region. A transformation for mapping the improvable element into the region is determined based on matching. Several patient images are then mapped into the region and superimposed. An atlas element is determined based on the superimposed images. The method may be repeated using the determined anatomical atlas element as a constraint to detect further atlas elements.