Siemens Aktiengesellschaft

Siemens Healthcare Gmbh

Siemens Corporation

Siemens Medical Solutions Usa, Inc.

Siemens Aktiengesell Schaft

Siemens Aktiengellsellschaft

Michael Scheuering

Dorin Comaniciu

Dominik Bernhardt

Bogdan Georgescu

Daniel Rinck

Fernando Vega-Higuera

Yefeng Zheng

Thomas Redel

Puneet Sharma

Ali Kamen

Grzegorz Soza

Lucian Mihai Itu

Günter Lauritsch

Adrian Barbu

Ute Feuerlein

Martin Sedlmair

Lutz Gündel

Huseyin Tek

Johann Uebler

Michael Sühling

Xudong Zheng

Stefan Grosskopf

Helmut Barfuss

Jing Lu

Gerold Herold

Daniel Ruzicka

Kerstin Huwer

Dominik Fritz

Thomas Flohr

Wei Wang

Norbert Rahn

Bernhard Schmidt

Bernhard Geiger

Dieter Ritter

Christophe Chefd'hotel

Estelle Camus

Stefan Thesen

Razvan Ioan Ionasec

Christopher Rohkohl

Karl Barth

Helene C Houle

Matthias Mitschke

Michael Wiets

Sandra Sudarsky

Chris Schwemmer

Klaus Klingenbeck

Sebastian Vogt

Siegfried Wach

Christoph Braun

Peter Huber

Bernhard Krauβ

Robert Lapp

Dieter Böing

Christina Biermann

Christiane Koch

Max Schöbinger

Hans-Christoph Becker

Christian Asbeck

Michael Lynch

Stefan Groβkopf

Haibin Ling

Armin Schneider

The disclosure relates to a device and a method for ascertaining at least one individual fluid-dynamic characteristic parameter of a stenosis in a vascular segment having a plurality of serial stenoses, wherein angiography image data of the vascular segment is received from an angiography recording device, geometry data of the vascular segment is ascertained by an analysis device based on the angiography image data and combined into a segment model. At least one division point located between two of the stenoses respectively is ascertained by a dividing device in the segment model, the segment model is subdivided into subsegment models at each of the at least one division points, and the respective fluid-dynamic characteristic parameter is ascertained by a simulation device for at least one of the subsegment models based on respective geometry data of the subsegment model.

Device and method for ascertaining at least one individual fluid-dynamic characteristic parameter of a stenosis in a vascular segment having serial stenoses

A method and system for non-invasive assessment of coronary artery stenosis is disclosed. Patient-specific anatomical measurements of the coronary arteries are extracted from medical image data of a patient acquired during rest state. Patient-specific rest state boundary conditions of a model of coronary circulation representing the coronary arteries are calculated based on the patient-specific anatomical measurements and non-invasive clinical measurements of the patient at rest. Patient-specific rest state boundary conditions of the model of coronary circulation representing the coronary arteries are calculated based on the patient-specific anatomical measurements and non-invasive clinical measurements of the patient at rest. Hyperemic blood flow and pressure across at least one stenosis region of the coronary arteries are simulated using the model of coronary circulation and the patient-specific hyperemic boundary conditions. Fractional flow reserve (FFR) is calculated for the at least one stenosis region based on the simulated hyperemic blood flow and pressure.

Non-invasive functional assessment of coronary artery stenosis including simulation of hyperemia by changing resting microvascular resistance

The disclosure relates to an X-ray machine and a method for the operation of the X-ray machine for generation of a three-dimensional reconstruction of a body part. The method includes supplying a first X-ray capture of the body part; an automatic analysis of the first X-ray capture; an evaluation of the suitability of at least one further capture angle by the computing unit in the light of a result from the automatic analysis; setting of a second capture angle on the X-ray machine, either automatically by the computing unit or manually by an operator; a manually controlled approach to the set second capture angle by a capture unit of the X-ray machine; and capture of the second X-ray capture from the approached second capture angle by the capture unit to provide an improved method for operation of an X-ray machine for generation of a three-dimensional reconstruction of a body part.

Generation of a three-dimensional reconstruction of a body part by an X-ray machine

A method for determining functional severity of a stenosis includes: (a) generating a simulated perfusion map from a calculated blood flow; (b) comparing the simulated perfusion map to a measured perfusion map to identify a degree of mismatch therebetween, the measured perfusion map representing perfusion in a patient; (c) modifying a parameter in a model used in calculating the blood flow when the degree of mismatch meets or exceeds a predefined threshold; (d) computing a hemodynamic quantity from the simulated perfusion map when the degree of mismatch is less than the predefined threshold, the hemodynamic quantity being indicative of the functional severity of the stenosis; and (e) displaying the hemodynamic quantity. Systems for determining functional severity of a stenosis are described.

Determining functional severity of stenosis

A three-dimensional model dataset of a blood vessel system of a patient including at least one the vessel system is determined from a number of projection images, which have been recorded from different recording angles, of the blood vessel system The projection images are divided up into image areas each containing at least one pixel. A feature vector is determined for each of the image areas. Classification information, which describes how the respective image area belongs or does not belong to a vessel segment of the blood vessel system defined in accordance with anatomical specification data, is defined for each of the image areas by applying a classification function to the feature vector assigned to the image area. The classification function has been trained by training data records annotated with classification information obtained from at least one person other than the patient. The blood vessel system in the projection images is segmented by grouping image areas with the same classification information. The three-dimensional model dataset is calculated as a function of the segmented projection images and the classification information.

Determining a three-dimensional model dataset of a blood vessel system with at least one vessel segment

A method and an imaging system are disclosed. The method, for determining at least one value of at least one recording parameter for a recording of an X-ray image of a patient positioned on an examination table, uses contactless scanning of at least part of the surface of the patient via at least one electromagnetic sensor, to calculate the three-dimensional contour of the scanned surface without additional exposure to radiation. At least one anatomic landmark of the patient can be identified using the three-dimensional contour, and the position of the anatomic landmark is determinable in the coordinate system of the table. The value of the recording parameter is determinable using the position of the anatomic landmark. The value of the recording parameter is determinable quickly and easily since contactless scanning of surfaces can be achieved quickly and easily in terms of technology.

Determining a value of a recording parameter by use of an anatomic landmark

A control method is disclosed for determining a quality indicator of medical technology recording results data from a tomography scan of an examination structure, which scan is supported by a contrast agent, by way of a tomography system. According to an embodiment of the invention, at least one control parameter value is automatically derived from the recording results data in respect of a contrast agent image region during and/or directly after the tomography scan, which value represents a quality of the recording results data in the contrast agent image region. A control system for such a determination is also disclosed.

Control method and control system

In a method and apparatus to automatically generate a selected image data set from an entirety of medical measurement data of an examination subject, the entirety of the measurement data of the examination subject is received as input data, and at least a portion of the measurement data is automatically analyzed with regard to a number of specific, topologically representative content feature parameter values of the examination subject selected measurement data from the entirety is made, with the selected data associated with defined, specific, topologically representative content feature parameter values. The selected measurement data are assembled into a selected image data set, as output data.

Method and apparatus to automatically implement a selection procedure on image data to generate a selected image data set

A method is disclosed for automatically selecting a scanning protocol for a tomographic recording of an X-ray image of a patient in that at least one patient-specific value is retrieved in the internal memory of a first computer. The patient-specific value can in particular be a measure of the anticipated X-ray absorption by the patient. The method includes automatically comparing the patient-specific value with retrievably stored reference values, wherein one scanning protocol can be associated with each reference value. Finally, a scanning protocol is automatically selected by way of the first computer using the comparison. Selection is simplified by automation of selection of the scanning protocol since no manual selection of the scanning protocol has to be made. Automatic selection of a suitable scanning protocol is also quicker than a manual selection.

Method and system for the automatic selection of a scanning protocol

A method for ascertaining a fluid-dynamic characteristic value of a resilient vascular tree, through which a fluid flows in a pulsating manner, is provided. At least one 2D projection, respectively, of the resilient vascular tree is generated by a projection device from different angles of projection, and a digital 3D reconstruction of the vascular tree is generated by an analysis device based on of the 2D projections. A geometry of at least one vessel of the resilient vascular tree is estimated based on the 3D reconstruction, and at least one fluid state in the resilient vascular tree is ascertained from the geometry and predetermined resilient properties of the resilient vascular tree. The at least one fluid-dynamic characteristic value is calculated as a function of the at least one fluid state.

Fluid-dynamic analysis of a vascular tree using angiography

In a method for image generation and image evaluation in the medical field, raw data are generated by a selected medical modality, in particular a computed tomography scanner, depending on given modality parameters, and image data are generated from the raw data using an image reconstruction depending on given reconstruction parameters. The image data are evaluated by a given analysis application. Before acquiring the raw data, a secondary application automatically proposes a set of parameter values for the modality parameters and/or for the reconstruction parameters coordinated to the given analysis application and/or given patient information.

Method for image generation and image evaluation

A method and a device are disclosed for automated detection of at least one part of the central line of at least one portion of a tubular tissue structure. In at least one embodiment of the method, characteristic landmarks of the tubular tissue structure are detected in a 3D data record of the tubular tissue structure; the detected characteristic landmarks of the tubular tissue structure and landmarks of a model of landmarks, which model belongs to the tubular tissue structure and takes into account the position of the landmarks relative to one another, are related to one another such that at least one portion of the tubular tissue structure is identified in the 3D data record of the tubular tissue structure. The central line of the identified portion of the tubular tissue structure is determined at least in part on the basis of at least one detected characteristic landmark and/or at least one landmark of the model of landmarks.

Method and device for automated detection of the central line of at least one portion of a tubular tissue structure

A computer system for image processing has a first working environment with a first program for image processing, as well as a second working environment, logically separated from the first working environment, with a second program for image processing. The first working environment is implemented on a first server. Furthermore, the first working environment is designed to receive a first command to execute the first program and a second command to execute the second program, and to send the second command to the second working environment. The second working environment is designed to send an image processed by the second program to the first working environment. The communication of a user with the first and second program thus occurs via a uniform platform in the form of the first working environment, and the integration of the second program for image processing into the workflow is facilitated.

Computer system and method for image processing

A device is disclosed for determining and visualizing the perfusion of the myocardial muscle with the aid of static CCTA images. In at least one embodiment, the device includes a segmentation unit for segmenting the coronary blood vessels and the left myocardial muscle from a CCTA image of the heart; a first simulation unit for simulating the blood flow through the coronary blood vessels; and a second simulation unit by which the local perfusion of the myocardial muscle is determined on the basis of the ascertained blood flow into different regions of the myocardial muscle. The perfusion of the different regions of the myocardial muscle is visualized in a schematized image on a visualization unit. By virtue of the proposed device it is possible to dispense with further imaging examinations after the performance of a CCTA scan, thereby relieving the pressure both on the part of the physician and on the part of the patient.

Device and computed tomography scanner for determining and visualizing the perfusion of the myocardial muscle

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Nürnberg, Germany

Michael Scheuering