Siemens Healthcare Gmbh

Siemens Healthineers Ag

Christian Kaethner

Markus Kowarschik

Michael Manhart

Andreas Meyer

Michael Wiets

Sai Gokul Hariharan

Annette Birkhold

ALois Regensburger

Christopher Rohkohl

Marcus Pfister

John Baumgart

Sebastian Schafer

Boris Stowasser

Anton Nekovar

Alexander Preuhs

Stephan Kellnberger

Gregor Niewalda

Julie DiNitto

Sebastian Schäfer

Abhishek Bafna

An intervention system and method for performing an intervention, for example a medical intervention, for example on a patient, at a first location, this being an intervention location. The intervention system includes at least one drivable intervention device at the first location to be used for the intervention, a first operating device provided at the first location for control of the at least one intervention device by a local group of people situated at the first location, a second operating device provided at a second location which is remote from the intervention location, for control of the at least one intervention device by a remote group of people situated at the second location, and an authorization device for authorizing the control of the at least one intervention device by the operating devices. The authorization device includes a user interface for the first location and the second location respectively, the user interface including a display unit for displaying at least the authorization state of the operating device at the respective location and an operating element that is configured at least to request the authorization for the operating device of the respective location.

Intervention system and method for supporting groups of people in the use of an intervention system

A method for evaluating image data of a patient showing a target region to be treated with an embolizing agent includes providing a three-dimensional time-resolved image data set of a vascular system portion of the patient. A structural parameter that describes a geometry of at least the vascular system portion and/or a basic information item including dynamic parameters that describe hemodynamics in the vascular system portion is established from the image data set by an analysis algorithm. An embolization information item describing a plurality of embolizing agents that are to be used is provided. An actuation information item describing a suitable composition of the plurality of embolizing agents, for an intervention facility used for carrying out the treatment is established by an establishing algorithm that uses the basic information item and the embolization information item, and the actuation information item is provided to the intervention facility.

Computer-implemented method for evaluating image data of a patient, intervention arrangement, computer program, and electronically readable data carrier

Rapid and precise recording of a VOI is provided while monitoring a robot-assisted movement of a medical object through a hollow organ of a patient. For actuating an x-ray device that has a recording system, a user input for the recording of a recording region is accepted. A previously recorded three-dimensional volume image of at least part of the body, in particular of the hollow organ is provided. A length of travel covered by the object from measurement data and/or control data of the robotic system is ascertained. The current position of the object is ascertained on the basis of the three-dimensional volume image making use of the ascertained length of travel covered and a starting position of the object. The recording system of the imaging device is moved for isocentering and/or superimposing the recording region about the current position of the object. An image of the recording region is recorded.

Position determining method, method for actuating an x-ray device and medical system

A system and method for generating an actuation signal for a robotic system for robot-assisted navigation of a medical object with a curved tip in a hollow organ of a patient. An an X-ray system for image monitoring of the intervention is assigned to the robotic system. The method includes determining a current relative position and relative orientation of the curved tip of the object relative to the hollow organ using the X-ray system, calibrating the robotic system on the basis of the determined current relative position and relative orientation of the tip of the object relative to the hollow organ, retrieving first information on a planned path section in the hollow organ, retrieving second information on at least one relative position and relative orientation or relative position sequence and relative orientation sequence of the curved tip of the same or a similar object relative to the hollow organ used during a navigation movement along at least one previously traversed path section in the hollow organ or another hollow organ from a memory unit, and generating an actuation signal for actuating the robotic system. The actuation takes account of the first and second information and the current relative position and relative orientation of the tip relative to the hollow organ.

Method for generating an actuation signal for a robotic system for robot-assisted navigation of a medical object and overall system

A method for automatically monitoring a robot-assisted movement of a medical object through a hollow organ of a medical object of a patient performed by a robotic system is provided. The method includes tracking movement of the medical object using a medical imaging device such that the medical object and/or the hollow organ is at least partially arranged in a recording region that is mappable by the imaging device. The tracking is effected by a relative movement between the recording system of the imaging device and the patient. An image of the recording region is recorded during the tracking. In each case, a further image is recorded at regular intervals. The current image in each case and/or sensor data from a sensor assigned to the robotic system or the object is evaluated to determine whether a situation relevant to decision-making and/or safety with respect to the robotic system is present.

Monitoring method and medical system

At least one example embodiment relates to a computer-implemented method for determining an imaging parameter value for the control of a medical technology device during a capture of a first image dataset. In this context, the first image dataset is provided to be transferred from the medical technology device to a remotely arranged device. The method comprises at least one of receiving or determining a transfer parameter value. In this context, the transfer parameter value comprises an information item concerning which image information is relevant for the first image dataset which is to be transferred. The method further comprises determining the imaging parameter value based on the transfer parameter value. The method further comprises providing the imaging parameter value.

Method for determining an imaging parameter value for the control of a medical technology device during a capture of a first image dataset

A system and method for registration of preoperative image data of a patient with less high-quality intra-operative image data relative to the data. Predetermined anatomical landmarks and/or an anatomical variant are identified in the image data by machine-learning facilities. At least one of the machine-learning facilities is trained patient-specifically and/or specifically for an anatomical variant of the patient to be examined. The registration is then carried out with the aid of the landmarks identified.

Method for registration of image data and for provision of corresponding trained facilities, apparatus for doing so and corresponding computer program product

An object of this disclosure is to allow dose-specific alteration of the noise suppression in X-ray images, wherein the image quality may change only below the threshold of perceptibility. To achieve this, a method is provided for adjusting a parameter for noise suppression in X-ray imaging, in which quality functions are determined in relation to a variation of a noise suppression parameter. Maximum values of the variation are set for each quality function based on a threshold value. The variability of the noise suppression parameter may be limited according to the X-ray dose up to the set maximum value.

Adjusting a parameter for noise suppression in X-ray imaging

A medical imaging system includes a medical imaging device to map a mapping region inside an examination object, the medical imaging device being designed such that a location of the mapping region is changable in respect of the examination object; and a processing device, including a data interface, to robotically position a medical object inside the examination object, via a movement device. In an embodiment, the processing device is configured to determine an instantaneous position of the medical object; specify a target position for the medical object, the target position being defined relative to the mapping region; determine one or more control signals, configured to cause a movement of the medical object via the movement device from the instantaneous position to the target position; and provide the one or more control signals, via the data interface, to the movement device.

Control of a robotically moved object

A method for noise reduction in a low-dose X-ray image includes preprocessing for determining input data, at least one trained function for determining noise-reduced output data from the input data, and postprocessing for determining a result image from the output data. At least one result parameter specifying at least one desired result attribute of the result image is received or determined. The at least one result attribute is obtained by modifying the preprocessing to set a noise value of at least one first noise parameter. The noise value is determined from the result parameter. The noise value may be selected to differ from a reference value of the first noise parameter. Alternatively or additionally, the at least one result attribute is obtained by setting, according to the result parameter, the at least one trained function to one of a plurality of predefined noise values of at least one second noise parameter.

Method for noise reduction in an X-ray image, image processing apparatus, computer program, and electronically readable data storage medium

A method for actuating an X-ray device during robot-assisted navigation of at least two objects introduced into a body, such as a hollow organ, of a patient by at least one robotic system, includes providing a first selection criterion for selecting one of the objects, and providing a second selection criterion for selecting one of the objects. One of the at least two objects is selected based on the first selection criterion and the second selection criterion, and recording parameters of the X-ray device are automatically set, such that the selected object in an X-ray image to be recorded is highlighted compared to the at least one other object. The selected object may be highlighted with respect to image quality, image flavor, positioning on the X-ray image, and/or a collimator setting of a collimator of the X-ray device. An X-ray image is recorded with the set recording parameters.

Actuating an x-ray device and medical system

A system for imaging a robotically moved medical object has a movement device for robotic movement of the medical object, a medical imaging device, and a processing unit. The processing unit is configured to receive a data set that maps a vessel structure of an examination object and is registered with the medical imaging device, and to determine an object path along the vessel structure toward a target region in the data set. The movement device is configured to move the medical object along the object path and provide an object parameter relating to a movement state of the medical object. The processing unit is further configured to control a positioning of the medical imaging device relative to the examination object as a function of object parameter and object path such that a predefined section of the medical object is mapped in image data acquired by the medical imaging device.

Imaging a robotically moved medical object

A computer-implemented method for providing a vascular image data record includes receiving a plurality of projection-X-ray images recorded in temporal succession. The plurality of projection-X-ray images at least partially map a common examination region of an examination object. The plurality of projection-X-ray images map a temporal change in the examination region of the examination object. A change image data record is determined in each case based on at least one region of interest of the plurality of projection-X-ray images. The at least one region of interest includes a plurality of image points. The change image data record in each case includes a time-intensity curve for each of the image points. The vascular image data record is generated based on the change image data record, and the vascular image data record is provided.

Providing a vascular image data record

A computer-implemented method is for coordinating a plurality of remote control units on performance of a plurality of prioritized working steps. The method includes receiving a first provisional sequence of the plurality of working steps, at least one remote control unit configured to perform the working step being assigned to at least one working step; receiving an item of information about a status of the at least one assigned remote control unit; prioritizing the plurality of working steps; determining a prioritized sequence of the plurality of working steps based upon the prioritization; providing the prioritized sequence of the plurality of working steps; providing a start signal for the assigned remote control unit for performing the at least one working step of the plurality of working steps. The start signal is here configured to initiate performance of the working step by the assigned remote control unit.

Method for coordinating a plurality of remote control units on performance of a plurality of prioritized working steps

Systems and method for providing misaligned image features. A method includes receiving a first and a second image data set, wherein the first and the second image data sets map at least partially a shared examination region of an examination object, registering the first image data set with the second image data set, determining a distance data set based on the registered first image data set and the second image data set, identifying the misaligned image features in the distance data set that are caused by a misalignment between the registered first and the second image data sets, and providing the identified misaligned image features.

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Forchheim, Germany

Christian Kaethner