Abstract: The present disclosure provides a non-transitory computer readable medium having instructions tangibly stored thereon, wherein when executed by a processing entity, the instructions cause the processing entity to carry out a method of evaluating influence of an action performed by an external entity, the method comprising: receiving sensor data; determining a signal reliability factor for the received sensor data, wherein the signal reliability factor represents a statistical quality indication between the received sensor data and an expected value or an expected range of values; and associating the signal reliability factor with the received sensor data. There is also provided a system configured to communicate with an autonomous driving system.

Abstract: A method is for noise reduction in image recordings. In an embodiment, the method includes providing an input image; de-noising the input image and producing a de-noised input image; and adapting noise texture of pixels of the de-noised input image via an adaptation method, noise amplitude of the de-noised input image being largely retained and the noise texture of the pixels of the de-noised input image being adapted to correspond largely to a defined noise texture. A corresponding device, a production method for an adaptation device, such an adaptation device, and a control facility and a computed tomography system are also disclosed.

Abstract: In one embodiment, a method is for calculating an examination parameter for a computed tomography examination of an area of interest of a patient. The method includes receiving a topogram of the area of interest of the patient; determining fat distribution information by applying a trained machine learning algorithm onto the topogram; and calculating the examination parameter for the computed tomography examination of the area of interest of the patient based on the fat distribution information.

Abstract: An analysis method is for automatically determining radiological result data from radiology data sets. In an embodiment, the method includes provisioning a first radiology data set at least based on X-ray data of a first X-ray energy spectrum; provisioning at least one second radiology data set at least based on X-ray data of a second X-ray energy spectrum; provisioning an analysis unit including a neural network, to analyze radiology data sets including an input layer with a plurality of cells, a number of intermediate layers and an output layer representing a radiological result; analyzing the first radiology data set and the at least one second radiology data set, at least subsets of the first radiology data set and the at least one second radiology data set being assigned to different cells of the input layer for joint processing in the neural network; and acquiring result data on the output layer.

Abstract: A computer-implemented method comprises: receiving a measurement data set, the measurement data set including energy resolved data based on a computed tomography scan of the patient; reconstructing a morphology preserving image data set based on a first photon-energy band or a first combination of photon-energy bands described by the measurement data set; segmenting a blood pool within a myocardium in the morphology preserving image data set; reconstructing a contrast agent map based on a second photon-energy band or a second combination of photon-energy bands described by the measurement data set; determining a reference value based on at least one pixel or voxel of the contrast agent map within the segmented blood pool; and determining a respective myocardial extracellular volume fraction depending on the reference value and a value given for at least one respective pixel or voxel outside the segmented blood pool by the contrast agent map.

Abstract: A method for correcting material-induced effects in CT images, comprising: providing a CT scan dataset including CT scan data of an object at at least two different energies; calculating a plurality of first material density values for a first substance type from the CT scan data of the CT scan dataset; calculating a plurality of correction factors based on the plurality of first material density values, wherein each correction factor is assigned to a second material density value for a second substance type; and calculating CT images from the plurality of first and second material density values, wherein at least one of the CT images is corrected via the plurality of correction factors.

Abstract: One embodiment relates to a method for providing image data of a hollow organ. The method includes applying a first contrast agent to a lumen of the hollow organ, to obtain a contrast agent filling of the lumen; applying a second contrast agent to a blood vessel system, the blood vessel system supplying a wall of the hollow organ, the second contrast agent having a different absorption spectrum than the first contrast agent; generating spectrally resolved computed tomography data of an examination area, the examination area including the hollow organ; calculating first image data indicative of a presence of the first contrast agent and second image data indicative of a presence of the second contrast agent by applying a material separation algorithm onto the spectrally resolved computed tomography data; and providing the image data of the hollow organ including the first image data and the second image data.

Abstract: A system and method include acquisition of a two-dimensional radiograph of a patient, input of the radiograph to a trained machine learning model to generate a classification, performance of a computed tomography scan of the patient based on the two-dimensional radiograph if the classification indicates that the patient does not have a first condition, and determination to modify the computed tomography scan if the classification indicates that the patient has the first condition.

Abstract: A method of determining a concentration of a chemical substance in a body of a patient includes adding an additive quantity of an additive material to a base quantity of a chemical substance to obtain a mixed composition having a predetermined density and delivering the mixed composition to the body of the patient. The method also includes obtaining an image of at least a portion of the body of the patient and determining a concentration of the chemical substance in the at least a portion of the body of the patient based on the image and the predetermined density of the mixed composition.

Abstract: An embodiment relates to a computer-implemented method for generating a combined tissue-vessel representation. The method includes receiving imaging data of a tissue; receiving imaging data of a vessel; generating a tissue representation based on the imaging data of the tissue; generating a vessel representation based on the imaging data of the vessel; and generating a combined tissue-vessel representation based on the vessel representation and the tissue representation, the vessel representation being overlaid over the tissue representation.

Abstract: A method for determining a quantitative result CT parameter map in a region of interest of an object under examination is described. The method includes acquiring a sequence of quantitative input CT parameter maps for at least two predetermined times, the sequence being generated by a contrast-enhanced spectral multiphase CT of the region of interest; receiving a sequence of contrast-enhanced MRI image datasets, the MRI datasets having a higher temporal resolution than the sequence of input CT parameter maps; determining a relation between the MRI image datasets and the input CT parameter maps; and determining the result CT parameter map based on the determined relation and the MRI image datasets for at least one additional time, the at least one additional time being different from the predetermined time.

Abstract: For a computed tomography image data set of a recording region in which an at least substantially needle-shaped metal object is located, a method for correcting artifacts comprises: ascertaining an artifact data set describing, in an image space, at least one artifact caused by the at least substantially needle-shaped metal object, wherein the ascertaining uses prior knowledge about the at least one artifact; and subtracting the artifact data set from the computed tomography image data set. The computed tomography image data set being reconstructed from projection images, which are recorded at least partially such that the at least substantially needle-shaped metal object is irradiated at least substantially in the longitudinal direction.

Abstract: A method for providing thermal conductivity data relating to an anatomical structure, comprises: receiving first spectral computed tomography data relating to the anatomical structure; calculating a fat map of the anatomical structure and a water map of the anatomical structure based on the first spectral computed tomography data; calculating the thermal conductivity data relating to the anatomical structure based on the fat map and the water map; and providing the thermal conductivity data.

Abstract: A first image data set and at least one second image data set are captured, and a contrast-enhanced image data set and a non-contrast image data set are determined based on the first and the at least one second image data set. The perfusion image data set is calculated based on a ratio of image values of the contrast-enhanced image data set and locally corresponding image values of the non-contrast image data set, and the perfusion image data set is provided via a second interface.

Abstract: An embodiment of an apparatus for generating audio subband values in audio subband channels includes an analysis windower for windowing a frame of time-domain audio input samples being in a time sequence extending from an early sample to a later sample using an analysis window function including a sequence of window coefficients to obtain windowed samples. The analysis window function includes a first number of window coefficients derived from a larger window function including a sequence of a larger second number of window coefficients, wherein the window coefficients of the window function are derived by an interpolation of window coefficients of the larger window function. The apparatus further includes a calculator for calculating the audio subband values using the windowed samples.

Abstract: An embodiment of an apparatus for generating audio subband values in audio subband channels includes an analysis windower for windowing a frame of time-domain audio input samples being in a time sequence extending from an early sample to a later sample using an analysis window function including a sequence of window coefficients to obtain windowed samples. The analysis window function includes a first number of window coefficients derived from a larger window function including a sequence of a larger second number of window coefficients, wherein the window coefficients of the window function are derived by an interpolation of window coefficients of the larger window function. The apparatus further includes a calculator for calculating the audio subband values using the windowed samples.

Abstract: An embodiment of an apparatus for generating audio subband values in audio subband channels includes an analysis windower for windowing a frame of time-domain audio input samples being in a time sequence extending from an early sample to a later sample using an analysis window function including a sequence of window coefficients to obtain windowed samples. The analysis window function includes a first number of window coefficients derived from a larger window function including a sequence of a larger second number of window coefficients, wherein the window coefficients of the window function are derived by an interpolation of window coefficients of the larger window function. The apparatus further includes a calculator for calculating the audio subband values using the windowed samples.

Abstract: An embodiment of an apparatus for generating audio subband values in audio subband channels includes an analysis windower for windowing a frame of time-domain audio input samples being in a time sequence extending from an early sample to a later sample using an analysis window function including a sequence of window coefficients to obtain windowed samples. The analysis window function includes a first number of window coefficients derived from a larger window function including a sequence of a larger second number of window coefficients, wherein the window coefficients of the window function are derived by an interpolation of window coefficients of the larger window function. The apparatus further includes a calculator for calculating the audio subband values using the windowed samples.

Abstract: An embodiment of an apparatus for generating audio subband values in audio subband channels includes an analysis windower for windowing a frame of time-domain audio input samples being in a time sequence extending from an early sample to a later sample using an analysis window function including a sequence of window coefficients to obtain windowed samples. The analysis window function includes a first number of window coefficients derived from a larger window function including a sequence of a larger second number of window coefficients, wherein the window coefficients of the window function are derived by an interpolation of window coefficients of the larger window function. The apparatus further includes a calculator for calculating the audio subband values using the windowed samples.

Abstract: An embodiment of an apparatus for generating audio subband values in audio subband channels includes an analysis windower for windowing a frame of time-domain audio input samples being in a time sequence extending from an early sample to a later sample using an analysis window function including a sequence of window coefficients to obtain windowed samples. The analysis window function includes a first number of window coefficients derived from a larger window function including a sequence of a larger second number of window coefficients, wherein the window coefficients of the window function are derived by an interpolation of window coefficients of the larger window function. The apparatus further includes a calculator for calculating the audio subband values using the windowed samples.