Brainlab Ag

Ao Technology Ag

Thomas Feilkas

Stefan Vilsmeier

Claus Schaffrath

Georg Christian

Manfred Weiser

Thomas Drexl

Rainer Lachner

Ingmar Hook

Mario Zeiss

Guoyan Zheng

Falko Seifferth

Sabrina Sainer

Martin Lohmann

Jorge Acosta

Hansjörg Huber

Kim Le

Yannic Meurer

Disclosed is a computer-implemented method of training a likelihood-based computational model for determining the position of an image representation of an annotated anatomical structure in a two-dimensional x-ray image, wherein the method encompasses inputting medical DRRs together with annotation to a machine learning algorithm to train the algorithm, i.e. to generate adapted leamable parameters of the machine learning model. The annotations may be derived from metadata associated with the DRRs or may be included in atlas data which is matched with the DRRs to establish a relation between the annotations included in the atlas data and the DRRs. The thus generated machine learning algorithm may then be used to analyse clinical or synthesized DRRs so as to appropriately add annotations to those DRRs and/or identify the position of an anatomical structure in those DRRs.

Training a machine learning algorithm using digitally reconstructed radiographs

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 () of interest is identified in the 3D-image-dataset and registered with the at least one anatomical structure (); b) the spatial position of the at least one anatomical structure () and the spatial position of a predetermined section of a medical instrument () 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 (), 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 () and the at least one anatomical structure (); d) the relative position of the defined view-center with respect to a predetermined section of the medical instrument () is maintained in the 2D-view. The present invention further relates to a corresponding computer program, a corresponding program storage medium and a corresponding system for performing such method.

Inline-view determination

An adaptor for receiving a navigated structure, wherein the navigated structure is at least a part of a medical object which carries an object reference, and for being connected to a registration tool in order to register the navigated structure in a medical navigation system, the adaptor comprising at least two adaptor parts which, in an assembled state, form a structure receiving recess in the shape of the navigated structure and an adaptor coupling part for connecting the adaptor to the registration tool in a predetermined relative position.

Adaptor for receiving a navigated structure which is at least a part of a medical object and method of registering a navigated structure using the adaptor

A medical data processing method for determining the spatial relationship of a first medical device relative to a second medical device, the method being constituted to be executed by a computer and comprising the following steps: d) acquiring first medical device position data comprising first medical device position information describing the position of the first medical device, wherein the first medical device position data is acquired based on reading, from a marker device having for example a fixed spatial relationship relative to the first medical device, the first medical device position information or information which allows access to the first medical device position information; e) acquiring second medical device position data comprising second medical position information describing the position of the second medical device; f) determining, based on the first medical device position data and the second medical device position data, relative position data comprising relative position information describing the spatial relationship of the second medical device relative to the first medical device.

Single-marker navigation

The present invention relates to a method for segmenting a three-dimensional image data set, comprising the steps of:

Method for segmenting a three-dimensional image data set, corresponding computer program and corresponding system

A system and method for calibrating an object having at least one marker attached thereto, wherein a spatial position of the object is ascertained based on the at least one marker, and an outline, view or geometry of the object is optically detected from at least one side. The detected outline, view or geometry is compared with corresponding outlines, views or geometries of stored pre-calibration data of the object, said pre-calibration data representing a model of the object.

Method and device for calibrating a medical instrument

A method for registering a non-patient-characteristic three-dimensional magnetic resonance data set (MR data set) to patient-characteristic data includes: producing or providing a non-patient-characteristic three-dimensional generic model of a body or body part containing body structure data; ascertaining or providing two-dimensional patient-characteristic detection data of a patient; using a transformation protocol for data-linking the body structure data of the three-dimensional generic model to the two-dimensional patient-characteristic detection data to change or adapt the generic model of the body or body part based on the ascertained two-dimensional patient-characteristic detection data, wherein the three-dimensional generic model is at least correlated with a three-dimensional MR reference data set; and changing or deforming at least a part of the three-dimensional MR reference data set by using the transformation protocol to generate a patient-characteristic three-dimensional MR data set that is registered to the fluoroscopic images.

Registering MR patient data on the basis of generic models

A method for generating a three-dimensional model of a structure based on at least one two-dimensional image of the structure includes obtaining a general three-dimensional model of the structure; determining at least one image feature from the at least one two-dimensional image; determining an orientation of the general three-dimensional model of the structure relative to the at least one two-dimensional image of the structure so that at least one image feature of a two-dimensional projection of the three-dimensional model match or at least approximate the at least one two-dimensional image feature; and after determining the orientation of the general three-dimensional model, morphing a form or shape of the general three-dimensional model to fit the at least one two-dimensional image.

Shape reconstruction using X-ray images

A method for determining a three-dimensional form of a body from two-dimensional projection images includes producing at least one projection image of the body and producing corresponding model projection images from a generic model of the body. The body projection images and the model can be input into a computer-assisted processing unit and the generic model can be adjusted to the body by comparing image contents of the body projection images with the model projections images at a two-dimensional level only. The three-dimensional form of the body can be determined from the adjusted generic model.

Method and device for determining a three-dimensional form of a body from two-dimensional projection images

A transparent marker casing for use with a tracking system, comprising a material that is transparent to radiation emanating from at least one marker, wherein the marker casing is formed such that it at least partially surrounds the at least one marker. The casing can include a moisture sensor that can detect moisture or liquid on a surface of the casing and provide a signal indicative of the presence of moisture.

System for tracking a spatial position of an object via a tracking system

A method for computer-assisted medical navigation and/or pre-operative treatment planning includes detecting the current position of a patient or a part of a patient's body and the positions of medical treatment devices or treatment-assisting devices. The detected positional data can be assigned to body structure data, in order to jointly use the body structure data in assignment with the positional data, within the context of assisting the treatment. The body structure data can be used which is obtained based on a three-dimensional generic model, where the model is adapted by two-dimensional data linking with patient-characteristic, two-dimensional detection data.

Planning and navigation assistance using two-dimensionally adapted generic and detected patient data

A camera system includes at least two camera units, wherein each camera unit comprises at least one detection element for detecting an optical signal. At least one of the at least two camera units includes at least one element operative to enable detection of light in at least two different spectral ranges.

Multi-band tracking and calibration system

A method and device generating a computer tomography data set CT* of an object, wherein a nuclear spin tomography recording MR of said object is obtained, and a transformation or mapping protocol f(MR) for a nuclear spin tomography reference data set MRis ascertained. The nuclear spin tomography reference data set MRcan be mapped onto said recorded nuclear spin tomography data set MR, wherein said ascertained transformation or mapping protocol f is applied to a computer tomography reference data set CTcorresponding to the nuclear spin tomography reference data set MRto determine a virtual computer tomography data set CT*=f(CT).

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Grafing, Germany

Thomas Feilkas