Siemens Aktiengesellschaft

Siemens Healthcare Gmbh

Siemens Healthineers Ag

Thomas Allmendinger

Bernhard Schmidt

Thomas Flohr

Rainer Raupach

Steffen Kappler

Carsten Thierfelder

Ute Feuerlein

Herbert Bruder

Harald Schöndube

Heiko Mehldau

Karl Stierstorfer

Christian Hofmann

Christopher Rohkohl

Bernhard Krauss

Sandra Sudarsky

Stefan Reichelt

Christian Tietjen

Hasan Ertan Cetingul

Robert Lapp

Sebastian Dennert

Christiane Koch

Harald Schoendube

Tristan Nowak

Stefan Kaepplinger

Johan Sunnegardh

Matthias Baer-beck

Winrich Heidinger

Indraneel Borgohain

Johan Sunnegaardh

Ulrich Foerner

Jörg Hausleiter

Marc Kachelrieβ

Philip Stenner

Marco Schuster

Matthias Baer

Danilo Stitz

Christopher Dennl-Ortega Arrieta

Magdalini-Charikleia Pilatou

Thomas Seiler

An imaging method is described for generating image data of an examination region of an object that is to be examined. First X-ray projection measurement data of the examination region is acquired using a first X-ray energy spectrum and at least second X-ray projection measurement data of the examination region is acquired using a second X-ray energy spectrum which is different from the first X-ray energy spectrum. A priori image data is reconstructed based on at least the first X-ray projection measurement data and a location-dependent distribution of X-ray attenuation values. A basis material decomposition is performed based on the first X-ray projection measurement data and the at least second X-ray projection measurement data. A location-dependent weighting of the basis materials is determined as a function of the location-dependent distribution of the X-ray attenuation values. An image for the examination region is determined by reconstructing virtual basis-material-weighted image data.

Generating X-ray image data on the basis of a weighting of basis materials varying depending on location

One or more example embodiments provides a method for evaluating an angiographic dual-energy computed tomography dataset recorded using a contrast agent comprising iodine to determine a quantitative calcium score.

Method for evaluating an angiographic dual-energy computed tomography dataset, evaluation facility and non-transitory electronically readable data carrier

A method is for the transmission of patient-specific data to an examination log adjustment unit. In an embodiment, the method includes providing a user interface via a software application; receiving patient-specific data of a patient via the user interface, the patient-specific data being based on an input into the user interface; storing the patient-specific data received; and transmitting the patient-specific data to the examination log adjustment unit, the examination log adjustment unit being embodied to adjust an examination log for a medical imaging examination of the patient based upon the patient-specific data.

Method for the transmission of patient-specific data to an examination protocol adjustment unit and patient data transmission unit

A method is for actuating a medical imaging device including a radiation source, embodied during a rotational movement around an axis of rotation to irradiate an irradiation region from a plurality of angular positions. In an embodiment, the method includes capturing an object position of a moving object relative to the irradiation region. The Method further includes actuating the medical imaging device based upon the captured object position of the moving object, such that the intensity of the radiation emitted by the radiation source for a first partial number of the plurality of angular positions in a first angular range round the axis of rotation is reduced relative to a second partial number of the plurality of angular positions in a second angular range around the axis of rotation, the captured object position being included in the first angular range.

Method for actuating a medical imaging device and medical imaging device

A method is for generating image data of an examination object via a computed tomography system including a data processing unit; an X-ray radiation source and an X-ray radiation detector suspended on a support and mounted to be rotatable about a z-axis; and an examination table for supporting the examination object and a reference object arranged in a fixed position relative to the examination table. The method includes generating a raw data set by displacing the X-ray radiation source and the X-ray radiation detector relative to the examination object. During generation of the raw data set, at least one part of the examination object is sampled together with at least one part of the reference object. The sampling of the at least one part of the reference object is used to compensate at least in part for the influence of movement errors during the displacement.

Method for generating image data, computed tomography system, and computer program product

A method is for training a convolutional neural network of a compensation unit. The method includes: provisioning a machine learning device, the machine learning device being designed for training the convolutional neural network; provisioning a start compensation unit, including an untrained convolutional neural network, on or at the machine learning device; provisioning a training image dataset including a plurality of medical training input images and at least one training output image, wherein a reference object is shown essentially without motion artifacts in the at least one training output image and the reference object concerned is contained in the plurality of medical training input images with different motion artifacts; and training the convolutional neural network of the compensation unit in accordance with a principle of machine learning, using the training image dataset. A compensation unit, a machine learning device, a control device for controlling a medical imaging system are also disclosed.

Method and system for compensating for motion artifacts by means of machine learning

A method is for checking a medical image with regard to a processing of the medical image via an image processing module. The method includes providing at least one input requirement of the image processing module relating to at least one image parameter of the medical image; providing the at least one image parameter of the medical image; and checking whether the at least one image parameter fulfills the at least one input requirement.

Method for checking a medical image and method for adapting an examination protocol during a medical imaging examination

A computer tomograph, a method, and a computer program product are disclosed. A computer tomograph is disclosed for scanning an image of at least one examination region of a patient, including a scanning unit which can be rotated about a longitudinal axis. The scanning unit includes an X-ray detector and an X-ray emitter. The extension of an X-ray beam emitted by the X-ray emitter is controlled for scanning purposes along the longitudinal axis using at least one patient-dependent control signal. By controlling the extension of the X-ray beam, the dose applied to the patient is also controlled such that the dose can be used as efficiently as possible. The control further allows the pitch to be matched to the patient-dependent control signal while scanning in the spiral mode.

Dose-reduced CT scan using dynamic collimation

A method is described for the determination of a calcium score for a patient to be examined with the aid of a CT system. The method is used to define patient-specific CT-acquisition parameters. In addition, material parameters for a model method for the generation of synthetic image data for virtual CT-acquisition parameters are calibrated using phantom image data recorded with reference CT-acquisition parameters. A calcium score assigned to synthetic phantom image data corresponds to a calcium score determined with phantom image data recorded with reference CT-acquisition parameters. Next, CT-projection-measurement data is acquired for a region of interest using the patient-specific CT-acquisition parameters. The acquired CT-projection-measurement data is used to generate synthetic image data using the calibrated model method. Finally, a calcium score is determined using a standard method on the basis of the synthetic image data. Also described is a calcium-score-determining device. Also described is a computed tomography system.

Spectrum-neutral determination of calcareous deposits in blood vessels

A method is for generating CT image data with spectral information from an examination region of a patient. According to an embodiment, the examination region is exposed to polychromatic X-radiation. Data from the examination region, including a first projection measurement data record and at least one second projection measurement data record, is captured via a photon counting detector. At least one second projection measurement data record with reduced resolution is generated based upon the at least one second projection measurement data record. The first and at least one second projection measurement data records are then transmitted to an image generation unit. Finally, the resolution of the first projection measurement data record is transferred onto the at least one second projection measurement data record with reduced resolution and/or an image data record based on the at least one second projection measurement data record with reduced resolution. A system is also disclosed.

Generating high-resolution CT images with spectral information

A multi-spectral CT imaging method, preferably a CT imaging method, is described. Spectrally resolved projection scan data is acquired from a region to be imaged of an examination object. The data is assigned to a plurality of pre-determined different partial spectra. Spectrally resolved image data is reconstructed with a plurality of attenuation values for each image point of the region to be imaged. The attenuation values are each assigned to one of the pre-determined different partial spectra. Furthermore, an extremal attenuation value is determined for each image point on the basis of the plurality of attenuation values. A representative image data set is determined such that the determined extremal attenuation value is assigned to each image point.

Multi-spectral CT imaging

A method is disclosed for x-ray CT scanning with a dual-source system, in which two radiation bundles are each delimited by diaphragms such that these radiation bundles are free of mutual points of intersection at least in the examination object. An embodiment of the invention also relates to a dual source CT system, including a controller configured to control radiation-delimiting diaphragms, which delimit and align the radiation bundles such that these run free of mutual points of intersection at least in the examination object.

X-ray CT scanning and dual-source CT system

A method is for processing a first image data set including a first image value tuple associated with a volume element of a region of an object to be imaged. In an embodiment, a second image data set is generated based upon the first image data set, including a second image value tuple associated with the volume element, a base material decomposition being capable of being carried based upon the second image data set and based upon a base material set; a starting area and a target area are selected as a function of the base material set, the first image value tuple being located in the starting area; the second image value tuple is ascertained based upon the first image value tuple, the second image value tuple being associated with the first image value tuple via image value tuple imaging and being located in the target area.

Method and image data processing device for processing a multi-energy computerized tomography image data set

An example embodiment relates to a method for automatically stipulating a spectral distribution of the X-ray radiation of a number of X-ray sources of a computed tomography system. This involves firstly stipulating start control parameters of an X-ray source, which determine the dose and spectral distribution of X-ray radiation. On the basis of an expected attenuation of the X-ray radiation by an examination object, an examination-object-specific basic control parameter is then ascertained proceeding from the start control parameters. Afterwards, on the basis of the expected attenuation of the X-ray radiation by the examination object and the basic control parameter, first target control parameters and second target control parameters are ascertained for setting the spectral distribution of the X-ray radiation in a subsequent multi-energy measurement on the examination object. Moreover, a method, a control device suitable, and a computed tomography system comprising such a control device are described.

Automatic stipulation of a spectral distribution of x-ray radiation of a number of x-ray sources

A method is for generating X-ray image data of an examination object with reduced calcium blooming. The X-ray image data is based on X-ray projection data acquired with an energy-selective X-ray detector and in respect of at least two energy windows. An embodiment of the method includes determining a calcium content in the X-ray projection data by way of a base material analysis, the calcium content describing the calcium-determined part of the X-ray attenuation caused by the examination object; generating a mixed X-ray projection data record with calcium content suppressed by way of a weighting factor of less than one; and reconstructing the X-ray image data from the mixed projection data record by applying a reconstruction algorithm.

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Forchheim, Germany

Thomas Allmendinger