Siemens Aktiengesellschaft

Siemens Healthcare Gmbh

Siemens Healthineers Ag

Daniel Rinck

Michael Scheuering

Mario Zeller

David Grodzki

Stefan Popescu

Mariappan S Nadar

Boris Mailhe

Andreas Greiser

Martin Harder

Lutz Gündel

George William Ferguson

Rene Kartmann

Venkata Veerendranadh Chebrolu

Christian Asbeck

Verena Gass

Aniol Serra Juhe

Verena Gaß

A method of scanning an organ structure of a patient using magnetic resonance imaging, includes scanning, in a first scanning process, the patient to obtain first image data indicative of at least the organ structure of the patient. The method further includes determining, based on the first image data, one or more parameters obtain second image data indicative of at least the organ structure of the patient. The first scanning process includes a first quality of imaging scan, the second scanning process includes a second quality of imaging scan, and the first quality of imaging scan is higher than the second quality of imaging scan.

Magnetic resonance imaging of an organ structure

A computer-implemented method for visualizing interactions in an extended reality (XR) scene, the computer-implemented method comprising: receiving a first dataset representing an XR scene including a technical device; displaying the XR scene on an XR headset or a head-mounted display (HMD); providing a room for a user wearing the XR headset or HMD for interacting with the XR scene, wherein the room includes a set of optical sensors including at least one optical sensor at a fixed location relative to the room; detecting optical sensor data of the user as a second dataset while the user is interacting with the XR scene in the room; and fusing the first dataset and the second dataset to generate a third dataset.

Technique for visualizing interactions with a technical device in an XR scene

In a method for performing a magnetic resonance measurement of an organ structure of a patient using a magnetic resonance imaging system adapted to the imaging of the organ structure: a correct positioning of the organ structure of the patient is ascertained, a correct positioning of the magnetic resonance imaging system with regard to the positioning of the organ structure of the patient is ascertained, a magnetic resonance scanning protocol is selected, a spatial coverage of the magnetic resonance measurement with regard to the organ structure to be imaged is adjusted, and the magnetic resonance measurement is performed to acquire magnetic resonance image data of the organ structure.

Magnetic resonance imaging system and method

A method includes determining a position of a local coil, a coil position, and a position of a body part of a patient, a body part position. Spacing between the coil position and the body part position is determined. An optimized MR sequence is determined. Based on the determined spacing between the coil position and the body part position, it is checked that in a subsequent MR examination of the patient, a predetermined loading threshold value (e.g., an SAR value) is not exceeded. The optimization of the MR sequence thus takes place under the boundary condition that the loading threshold value is not exceeded.

Determining a load-optimized MR sequence

In a method and apparatus for provision of preparatory information for preparation of magnetic resonance imaging of an examination object, the examination object is supported on a patient support of the magnetic resonance apparatus, a depth map of the examination object supported on the patient support is acquired by a time-of-flight camera, preparatory information for the preparation of the magnetic resonance imaging is generated in a computer using the acquired depth map, and the preparatory information are provided from the computer.

Method and apparatus for provision of preparatory information for magnetic resonance imaging

A magnetic resonance (MR) apparatus for implementing an MR examination of a patient, has an MR scanner with a gradient coil arrangement and a music network having at least two communicating instrument devices, synchronized by synchronization signals sent via the music network, so as to generate a music piece that is to be emitted as an output to the patient. One of the instrument devices is the magnetic resonance scanner that, as an interface to the music network, has a synchronization unit designed to derive the synchronization signals for the music network from sequence control signals received from the control computer of the magnetic resonance scanner, at least for the gradient coil arrangement.

Magnetic resonance apparatus and method for conducting magnetic resonance examination of a patient

A method is disclosed for visualizing damage in the myocardium. In such a method, CT image data of the heart are made available which were recorded with injection of contrast medium. The myocardium is isolated by segmentation from the CT image data. One or more views of the isolated myocardium are displayed on an image display device, density values being visualized with color coding in the display. At least one embodiment of the method permits visualization of damage of the myocardium based on CT image data, in which damaged areas of the myocardium can immediately be identified without time-consuming analysis.

Method for visualizing damage in the myocardium

An apparatus is disclosed for automatically detecting salient features in medical image data. The apparatus includes a memory device for storing the image data, at least one determination module for determining one or more anatomical regions which are acquired by the image data, a number of different examination modules that respectively include an application for automatically detecting specific salient features in a specific anatomical region, an input unit via which a primary application can be started, a control unit that on the basis of the anatomical regions determined by the determination module automatically selects and executes in the background further applications, as well as an output unit on which the result of the primary application is displayed together with an item of information relating to additional salient features that have been detected automatically with the aid of the applications executed in the background. The apparatus improves the diagnostic evaluation of medical image data.

Apparatus for automatically detecting salient features in medical image data

A method is disclosed for visualization of plaque deposits from 3D image data records of vessel structures, in particular of the coronary vascular system, in which at least one predeterminable section of the vessel structure with the plaque deposits is segmented in the 3D image data record in order to obtain segmented 3D image data. A synthetic 3D model image of the at least one section of the vessel structure and of the plaque deposits is produced from the segmented image data, and includes only boundary surfaces of the vessel structure and of the plaque deposits. The synthetic 3D model image is produced by three-dimensional interpolation between pixels which are associated with boundary surfaces of the vessel structure, and between pixels which are associated with boundary surfaces of the plaque deposits in order to obtain a uniform grid at pixels for the 3D model image. Finally, the synthetic 3D model image or a partial volume of it is visualized. The method allows a vessel section with plaque deposits to be visualized better for evaluation.

Method for visualization of plaque deposits from 3D image data records of vessel structures

A method is disclosed for segmentation of anatomical structures, in particular of the coronary vascular system, from a sequence of 3D image data records recorded in a time sequence, in which the anatomical structure is first of all segmented from a first of the 3D image data records. In the method, during the segmentation of the anatomical structure, search areas of the segmentation are restricted and/or segmentation parameters associated with the three-dimensional relationships from the other 3D image data records are used, on the basis of known spatial conditions of the structure to be segmented, with respect to anatomical objects which are located in the surrounding area and of results of the segmentation from a respective next 3D image data record in the sequence from which the structure has already been segmented.

Method for segmentation of anatomical structures from 4D image data records

A method is disclosed for segmenting anatomical structures, in particular the coronary vessel tree, from 3D image data. In the method, a starting point is initially set in the 3D image data, and at least one known anatomically significant point and/or at least one known anatomically significant surface are/is identified in the 3D image data. Subsequently, proceeding from the starting point the structure is subsequently segmented pixel by pixel with the aid of a multiplicity of segmentation steps in such a way that an instantaneous distance is determined automatically relative to the anatomically significant point and/or to the anatomically significant surface in each segmentation step. Further, segmentation parameters and/or a selection of adjacent pixels for continuing the segmentation are/is established as a function of the distance, taking account of a model topology. The method enables an accurate and reliable segmentation of the anatomical structure.

Method for segmenting anatomical structures from 3D image data by using topological information

A method is disclosed for automatically determining the position and orientation of the left ventricle and/or adjacent regions in 3D image data records of the heart that have been recorded with the aid of an imaging, tomographic method after injection of contrast agent. In the method, the left ventricle is firstly coarsely segmented, and the long main axis is determined from the segmented image data. Starting from this long main axis, end points of a boundary line of the septum are determined in a plane by using search beams. The segmented image data, the long main axis and the end points fix the position and orientation of the left ventricle in the image data record.

Method for automatically determining the position and orientation of the left ventricle in 3D image data records of the heart

A method is disclosed for visualizing tubular anatomical structures from 3D recorded medical images, in particular coronary vessel structures, in the case of which segmented 3D image data of the tubular structure are firstly provided. The tubular structure represented by the segmented 3D image data is approximated via a multiplicity of mutually adjacent cylindrical and/or conically tapering elements. The mutually adjacent elements are subsequently displayed without the segmented 3D image data of the tubular structure. The method enables a simplified geometric display of the tubular structure that enables the person skilled in the art to make a simple interpretation of the structure, particularly in the case of transmission as a 2D image display.

Method for simple geometric visualization of tubular anatomical structures

A method and an apparatus are disclosed for visualizing deposits in blood vessels, particularly in coronary vessels. In such a method, 2D slice images may be reconstructed from the measurement data, with image data of the 2D slice images being post-processed for local determination of brightness values and/or of default values on which these are based in the 2D slice images. In the presentation of the 2D slice images, one or more image areas are marked in which, in the post-processing, pixels are automatically color-coded and presented according to a predeterminable transfer function which assigns different colors to different value ranges of brightness values and/or of default values on which these are based.

Growing community of inventors

Forchheim, Germany

Daniel Rinck