Siemens Healthcare Gmbh

Siemens Aktiengesellschaft

Siemens Healthineers Ag

Daniel Lerch

Carsten Thierfelder

Florian Hilbig

Alexandre Avranches

Bruno Doerrfuss

Thomas Boettger

Andreas Wiesinger

Lei Pan

Thilo Hannemann

Matthias May

Andrea Hofmann

Andre Wichmann

Wei He

Mario Bechtold

Wen Ju Zhang

Sven-Martin Sutter

Thomas Weber

Peter Scheuering

Lisa Vallines

Fernando Vega

Gerhard Kraemer

Thomas Pfeiffer

Carsten Illenseer

Hai Tao Xie

Andre Gebhardt

Robert Tamas Derzsi

Yi Mian Wang

Zhi Ming Yang

Bastian Schmidt

Stefan Schaffert

Sebastian Glawion

Gerhard Krämer

Selma Zehner

Selma Osmanlic

Kathrin Lerch

At least one embodiment relates to a method for training a machine learning algorithm. In an embodiment, the method includes provisioning a training apparatus with a machine learning algorithm to be trained, having a secure data connection to a medical-engineering imaging system; creating a plurality of training datasets based on image recordings, each training dataset of the plurality of training datasets being furnished with a ground truth or being linked by data link; sending training datasets, of the plurality of training datasets, to the training apparatus via the secure data connection; training the machine learning algorithm via the training apparatus, with the training datasets to create a trained machine learning algorithm; and sending a parameter dataset of the trained machine learning algorithm to the central computing apparatus via the data interface. A corresponding machine learning algorithm, a control facility, an imaging system and a multi-device network are also disclosed.

Method for generating a trained machine learning algorithm

A computer-implemented method is for determining at least one main acquisition parameter determining a dose of x-rays to be emitted from an x-ray emitter during image acquisition using an x-ray emitter and an x-ray detector. A first image data of a first preparatory image is evaluated to determine if a repeat condition is fulfilled and/or to determine the main acquisition parameter and/or at least one second preparatory acquisition parameter. The first preparatory image is acquired by the x-ray detector using at least one first preparatory acquisition parameter to control the x-ray emitter. In all cases or when the repeat condition is fulfilled, the main acquisition parameter is determined depending on second image data of a second preparatory image, acquired by the x-ray detector after the first preparatory image while at least one second preparatory acquisition parameter is used to control the x-ray emitter.

Computer-implemented method for determining at least one main acquisition parameter and method for acquiring a main x-ray image

A method is for positioning an imaging-relevant component of an imaging apparatus in an application-appropriate position for recording medical image data from a target region of a patient. In an embodiment, the method includes: acquiring information on the target region of the patient, acquiring a position of the patient relative to the imaging-relevant component, determining an application-appropriate position of the imaging-relevant component, determining a positioning instruction, and outputting the positioning instruction. An imaging apparatus of an embodiment includes an imaging-relevant component. The imaging-relevant component has a mechanical guide configured to position the imaging-relevant component along at least one degree of freedom of movement relative to a static arrangement of the imaging apparatus and/or a patient.

Method, imaging apparatus and computer program product for positioning imaging-relevant components

At least one example embodiment provides a method for automatic positioning of an X-ray source of a medical X-ray system with a mobile X-ray detector. The method includes determining an examination region of the examination object, acquiring a position and a location of the examination object and the examination region by way of an optical position determining system, localizing the examination region, ascertaining a field point of the central ray of the X-ray source and a collimator size of the X-ray source based on the localized examination region, and automatic positioning of the X-ray source based on the field point and the collimator size.

Automatic positioning of an X-ray source by way of segmentation

A system includes a gantry of a medical imaging apparatus. In an embodiment, the gantry includes an X-ray source, and a radiation protection booth, which can be installed or suspended relative to the gantry.

System with a gantry and a radiation protection booth and method for operating a medical imaging apparatus

A method is for positioning a positionable table for a patient inside a medical imaging device. In an embodiment, the method includes a determination of a table position as a function of an organ or body part of the patient for examination; an ascertainment of correction data for correcting the table position; a determination of a corrected table position based on the ascertained correction data; and a positioning of the table at the corrected table position.

Method for positioning a positionable table

A method is described for positioning of an examination object for an imaging method. The method is used to record an external image of externally visible features of the examination object. The recording of the external image is used as the basis for determining a position and/or orientation of at least one part of the examination object assigned to the imaged features. Subsequently, a check is performed as to whether the determined position and/or orientation of the at least one part of the examination object conforms to a reference position and/or reference orientation. Finally, if the determined position and/or orientation of the at least one part of the examination object does not conform to the reference position and/or reference orientation, the position and/or orientation of the at least one part of the examination object is corrected. Also described is an object-positioning facility. Furthermore, an imaging medical facility is described.

Positioning of an examination object for an imaging method

Remote control for electromedical device

A system includes a medical imaging apparatus embodied for the acquisition of first items of imaging data based on electromagnetic radiation, and a control apparatus embodied to control the medical imaging apparatus and to control an ultrasound probe. The control apparatus includes an interface embodied to output control commands to the ultrasound probe. The ultrasound probe can be connected to the control apparatus via the interface.

Combined ultrasound-computed tomography imaging

A medical imaging apparatus includes a gantry with a tunnel-shaped opening, an examination region and a holder. In an embodiment, the holder includes a light source for illuminating the examination region and the holder is arranged on the gantry projecting above the tunnel-shaped opening.

Medical imaging apparatus with a light source for illuminating an examination region

Patient table

A system is for contrast agent-based medical imaging. In an embodiment, the system includes a gantry of a medical imaging device; a contrast agent injection device; and a support arm including a frame element, a first connecting element and a second connecting element. In an embodiment, the frame element is connected to a stationary support frame of the gantry via the first connecting element such that at least part of the frame element is mounted to be movable relative to the stationary support frame of the gantry, and the contrast agent injection device is connected to at least part of the frame element via the second connecting element such that the contrast agent injection device is mounted to be movable relative to at least part of the frame element.

System for contrast agent-based medical imaging

Growing community of inventors

Weilersbach, Germany

Daniel Lerch