Abstract: A magnetic resonance imaging (MRI) system includes a memory for storing machine executable instructions and MRF pulse sequence commands. The MRF pulse sequence commands are configured for controlling the MRI system to acquire MRF magnetic resonance data according to a magnetic resonance fingerprinting protocol. The memory further includes a Fourier transformed magnetic resonance finger printing dictionary. The finger printing dictionary includes entries for at least one intrinsic property.

Abstract: A processor controls an MRI system with pulse sequence commands to acquire magnetic resonance data according to a magnetic resonance fingerprinting protocol during multiple pulse repetitions. The pulse sequence commands control the magnetic resonance imaging system to cause gradient induced spin rephasing at least twice during each of the multiple pulse repetitions, and to acquire at least two magnetic resonance signals during each of the multiple pulse repetitions. Each of the at least two magnetic resonance signals is measured during a separate one of the gradient induced spin rephasing. The magnetic resonance data includes the at least two magnetic resonance signals acquired during each of the multiple pulse repetitions. The processor further at least partially calculates a B0-off-resonance map using the magnetic resonance data, and generates at least one magnetic resonance parametric map by comparing the magnetic resonance data with a magnetic resonance fingerprinting dictionary.

Abstract: The invention relates to a magnetic resonance imaging system, the magnetic resonance imaging system (100) comprising: —a memory (134, 136) storing machine executable instructions (160, 162, 164), pulse sequence commands (140) and a first machine learning model (146) comprising a first deep learning network (502), wherein the pulse sequence commands (140) are configured for controlling the magnetic resonance imaging system (100) to acquire a set of magnetic resonance imaging data, wherein the first machine learning model (146) comprises a first input and a first output, —a processor, wherein an execution of the machine executable instructions (160, 162, 164) causes the processor (130) to control the magnetic resonance imaging system (100) to repeatedly perform an acquisition and analysis process comprising: —acquiring a dataset (142.1, . . . , 142.

Abstract: The invention relates to a magnetic resonance imaging data processing system (126) for processing motion artifacts in magnetic resonance imaging data sets using a deep learning network (146, 502, 702) trained for the processing of motion artifacts in magnetic resonance imaging data sets. The magnetic resonance imaging data processing system (126) comprises a memory (134, 136) storing machine executable instructions (161, 164) and the trained deep learning network (146, 502, 702). Furthermore, the magnetic resonance imaging data processing system (126) comprises a processor (130) for controlling the magnetic resonance imaging data processing system.

Abstract: The invention provides for a magnetic resonance imaging system (100, 300). The execution of machine executable instructions causes a processor (130) controlling the magnetic resonance imaging system to control (200) the magnetic resonance imaging system to acquire the magnetic resonance imaging data (144) using pulse sequence commands (142) and reconstruct (202) a magnetic resonance image (148). Execution of the machine executable instructions causes the processor to receive (204) a list of suggested pulse sequence command changes (152) by inputting the magnetic resonance image and image metadata (150) into an MRI artifact detection module (146, 146?, 146?).

Abstract: The invention provides for a magnetic resonance imaging system (100) comprising a memory (134) for storing machine executable instructions (140) and pulse sequence commands (142). The pulse sequence commands are configured for controlling the magnetic resonance imaging system according to a DCE Magnetic Resonance Imaging protocol. The magnetic resonance imaging system further comprises a user interface (200) and a processor (130) for controlling the magnetic resonance imaging system.

Abstract: The present disclosure relates to a computer implemented medical analysis method for predicting metastases (300) in a test tissue sample, the method comprising: providing a first machine learning model (154) having an input and an output, receiving a description (401) of a tumor (304) and first image data (148) of a test tissue sample of an anatomy region (306), the test tissue sample being free of metastases (300), providing the first image data (148) and the tumor description (401) to the input of the first machine learning model (154), in response to the providing, receiving from the output of the first machine learning model (154) a prediction of occurrence of metastases (300) originating from the tumor (304) in the test tissue sample, and providing the prediction.

Abstract: The invention relates to a system for assessing a pulmonary image which allows for an improved assessment with respect to lung nodules detectability. The pulmonary image is smoothed for providing different pulmonary images (20, 21, 22) with different degrees of smoothing, wherein signal values and noise values, which are indicative of the lung vessel detectability and the noise in these images, are determined and used for determining an image quality being indicative of the usability of the pulmonary image to be assessed for detecting lung nodules. Since a pulmonary image shows lung vessels with many different vessel sizes and with many different image values, which cover the respective ranges of potential lung nodules generally very well, the image quality determination based on the different pulmonary images with different degrees of smoothing allows for a reliable assessment of the pulmonary image's usability for detecting lung nodules.

Abstract: A magnetic resonance imaging system (100) acquires magnetic resonance data (142) from a subject (118) within a measurement zone (108). Pulse sequence commands (140) control the magnetic resonance imaging system to acquire the magnetic resonance data according to a magnetic resonance fingerprinting protocol. The pulse sequence commands are configured for controlling the magnetic resonance imaging system to repeatedly generate an RF pulse train (300) and acquire the magnetic resonance data as multiple k-space traces. The machine executable instructions causes the processor to: sequentially acquire (200) the multiple k-space traces of magnetic resonance data by controlling the magnetic resonance imaging system with pulse sequence commands and calculate (202) the abundance of each of a set of predetermined substances for k-space traces that are acquired after a predetermined number of k-space traces of the multiple k-space traces has been acquired and the acquired magnetization has reached a steady state.

Abstract: A system (100) and computer-implemented method are provided for data collection for distributed machine learning of a machine learnable model. A privacy policy data (050) is provided defining computer-readable criteria for limiting a selection of medical image data (030) to a subset of the medical image data to obfuscate an identity of the at least one patient. The medical image data is selected based on the computer-readable criteria to obtain privacy policy-compliant training data (060) for transmission to another entity. The system and method enable medical data collection at clinical sites without requiring manual oversight, and enables such selections to be made automatically, e.g., based on a request for medical image data which may be received from outside of the clinical site.

Abstract: The invention relates to a magnetic resonance imaging system (100, 400) comprising a memory (134) for storing machine executable instructions (140) and MRF pulse sequence commands (142). The MRF pulse sequence commands are configured for controlling the magnetic resonance imaging system to acquire MRF magnetic resonance data (144) according to a magnetic resonance fingerprinting protocol. The memory further contains a Fourier transformed magnetic resonance finger printing dictionary (150). The Fourier transformed magnetic resonance finger printing dictionary comprises entries for at least one intrinsic property (152). The magnetic resonance imaging system further comprises a processor (130) for controlling the magnetic resonance imaging system.

Abstract: The invention provides for a magnetic resonance imaging system (100) for acquiring magnetic resonance data (142) from a subject (118) within a measurement zone (108). The magnetic resonance imaging system (100) comprises: a processor (130) for controlling the magnetic resonance imaging system (100) and a memory (136) storing machine executable instructions (150, 152, 154), pulse sequence commands (140) and a dictionary (144). The pulse sequence commands (140) are configured for controlling the magnetic resonance imaging system (100) to acquire the magnetic resonance data (142) of multiple steady state free precession (SSFP) states per repetition time. The pulse sequence commands (140) are further configured for controlling the magnetic resonance imaging system (100) to acquire the magnetic resonance data (142) of the multiple steady state free precession (SSFP) states according to a magnetic resonance fingerprinting protocol. The dictionary (144) comprises a plurality of tissue parameter sets.

Abstract: The invention provides for a method of operating a magnetic resonance imaging system for imaging a subject. The method comprises acquiring (700) tagged magnetic resonance data (642) and a first portion (644) of fingerprinting magnetic resonance data by controlling the magnetic resonance imaging system with tagging pulse sequence commands (100). The tagging pulse sequence commands comprise a tagging inversion pulse portion (102) for spin labeling a tagging location within the subject. The tagging pulse sequence commands comprise a background suppression portion (104). The background suppression portion comprises MRF pulse sequence commands for acquiring fingerprinting magnetic resonance data according to a magnetic resonance fingerprinting protocol. The tagging pulse sequence commands comprise an image acquisition portion (106).

Abstract: The invention provides for a magnetic resonance imaging (MRI) system (100) that comprises a memory (134) for storing machine executable instructions (140) and MRF pulse sequence commands (142). The MRF pulse sequence commands cause the MRI system to acquire MRF magnetic resonance data (144) according to a magnetic resonance (MR) fingerprinting protocol. The pulse sequence commands are configured for acquiring the MRF magnetic resonance data in two dimensional slices (410, 412, 414, 416, 418, 420), wherein the two dimensional slices have a slice selection direction, wherein the pulse sequence commands comprises a train of pulse sequence repetitions. The train of pulse sequence repetitions comprises a sampling event where the MRF magnetic resonance data is repeatedly sampled. The MRI system further comprises a processor for controlling the magnetic resonance imaging system.

Abstract: The invention provides for a magnetic resonance imaging system (100) comprising a memory (134) for storing machine executable instructions (140) and pulse sequence commands (142). The pulse sequence commands are configured for controlling the magnetic resonance imaging system according to a DCE Magnetic Resonance Imaging protocol. The magnetic resonance imaging system further comprises a user interface (200) and a processor (130) for controlling the magnetic resonance imaging system.

Abstract: The invention provides for a magnetic resonance imaging system (100). Machine executable instructions cause a processor controlling the MRI system to control (200) the magnetic resonance imaging system with the pulse sequence commands to acquire the magnetic resonance data. The pulse sequence commands are configured for controlling the magnetic resonance imaging system to acquire the magnetic resonance data according to a magnetic resonance fingerprinting protocol. The pulse sequence commands are configured for controlling the magnetic resonance imaging system to acquire the magnetic resonance data during multiple pulse repetitions (302). The pulse sequence commands are configured for controlling the magnetic resonance imaging system to cause gradient induced spin rephasing at least twice during each of the multiple pulse repetitions using a gradient magnetic field generating system (110, 112).

Abstract: The invention provides for a magnetic resonance imaging system (100) for acquiring magnetic resonance data (142) from a subject (118) within a measurement zone (108), wherein the magnetic resonance imaging system comprises: a processor (130) for controlling the magnetic resonance imaging system and a memory (136) for storing machine executable instructions (150, 152, 154) and pulse sequence commands (140). The pulse sequence commands for controlling the magnetic resonance imaging system to acquire the magnetic resonance data according to a magnetic resonance fingerprinting protocol. The pulse sequence commands are configured for controlling the magnetic resonance imaging system to generate an RF pulse train (300). The pulse sequence commands are configured for controlling the magnetic resonance imaging system to acquire the magnetic resonance data as multiple k-space traces.

Abstract: Method for transport of suspensions containing mechanically sensitive material with a sample-transporting device comprising transport conduits and at least one system for accelerating a sample or aliquot through the transport conduit from at least two burets.

Abstract: Sampling valve with which samples containing mechanically sensitive material are removed in a sterile manner from a bioreactor, and process analysis system with analysis stations, in particular chromatography systems, biosensors and cell determination devices, permitting automated, sterile removal of a sample from a bioreactor and gentle transport of the sample, containing mechanically sensitive material, in particular cells, to the analysis station.

Abstract: The invention provides an apparatus for discontinuous filtration of a liquid, having a filter station for filtration, a feed line for supplying the liquid to the filter station, and a filter medium movable relative to the station, the filter medium comprising at least two different membranes, which together in the filter station effect multistage filtration. The invention additionally relates to a method for discontinuous filtration of a liquid or for filtering isolated quantities of liquid, comprising: providing a filter station for filtration, the filter station comprising a chamber in which filtration is carried out; moving or transporting a filter medium from a stock into the filter station, the filter medium comprising at least two membranes which are arranged next to one another in the chamber; and supplying the liquid to the chamber, such that the liquid is subjected to multistage filtration through the membranes.