Patents by Inventor Mario Zeller

Mario Zeller has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11662415
    Abstract: Techniques are disclosed for ascertaining a point spread function (PSF) for reconstructing image data from scan data recorded by means of a magnetic resonance system. The techniques include a comparison of values determined for a planned k-space trajectory for parameters characterizing the k-space trajectory with baseline values of the parameters characterizing the k-space trajectory deposited in a database for the magnetic resonance system, in each case together with an associated point spread function PSF to ascertain baseline values of the deposited baseline values that are as similar as possible to the values determined for the planned k-space trajectory for the parameters characterizing the k-space trajectory and, on the basis of this deposited PSF, a PSF to be used for a reconstruction of final image data is ascertained.
    Type: Grant
    Filed: September 29, 2021
    Date of Patent: May 30, 2023
    Assignee: Siemens Healthcare GmbH
    Inventor: Mario Zeller
  • Publication number: 20230157571
    Abstract: A computer implemented method for providing output data comprising an indication regarding the affliction of a patient with an infectious respiratory disease, the method comprises receiving magnetic resonance imaging data, the magnetic resonance imaging data acquired using a magnetic resonance imaging system, the magnetic resonance imaging data comprising a lung region of the patient; applying a trained function to the magnetic resonance imaging data to generate the output data, the trained function being based on an artificial neural network and the output data comprising the indication regarding the affliction of the patience with the infectious respiratory disease; and proving the output data.
    Type: Application
    Filed: April 8, 2021
    Publication date: May 25, 2023
    Applicant: Siemens Healthcare GmbH
    Inventors: Mario ZELLER, David GRODZKI, Thomas BENKERT
  • Patent number: 11650276
    Abstract: Techniques are described for acquiring MR data comprising first MR data and second MR data of an examination object using an MR control sequence and a magnetic resonance device comprising an amplifier unit and an analog-to-digital converter (ADC).
    Type: Grant
    Filed: November 17, 2021
    Date of Patent: May 16, 2023
    Assignee: Siemens Healthcare GmbH
    Inventors: Dominik Paul, Mario Zeller, Flavio Carinci
  • Patent number: 11650279
    Abstract: Techniques are disclosed for capturing scan data of an examination object via a magnetic resonance system. The techniques include capturing a first set of a diffusion-weighted scan data by excitation and, in an acquisition phase, acquiring a first echo signal, wherein before the acquisition phase in a diffusion preparation phase, diffusion gradients are switched for diffusion encoding of the scan data, The techniques additionally include capturing a second set of non-diffusion-weighted scan data by excitation and, in an acquisition phase, acquiring a second echo signal, wherein before the acquisition phase, in a diffusion preparation phase, the same diffusion gradients are switched as are switched for diffusion encoding of the scan data of the first set of diffusion-weighted scan data, although they have no influence on the second echo signal. Diffusion-weighted and non-diffusion-weighted scan data is thereby captured, having identical disturbances caused by eddy currents induced by switched gradients.
    Type: Grant
    Filed: September 27, 2021
    Date of Patent: May 16, 2023
    Assignee: Siemens Healthcare GmbH
    Inventors: Adam Kettinger, Mario Zeller
  • Patent number: 11650280
    Abstract: In a method for correcting influences on magnetic resonance imaging of an examination object caused by fluctuations in a basic magnetic field, an MR data set is generated for two or more measurement periods, and a regression analysis is performed. Each of the MR data sets may contain at least one two-dimensional individual data set. The regression analysis may determine at least one phase correction value for a measurement period to be corrected. Two or more different individual data sets may be taken into account in the analysis. An MR image may generated based on the MR data sets and the at least one phase correction value.
    Type: Grant
    Filed: August 5, 2021
    Date of Patent: May 16, 2023
    Assignee: Siemens Healthcare GmbH
    Inventors: Mario Zeller, Adam Kettinger
  • Patent number: 11624793
    Abstract: In a method for acquiring measurement data using a magnetic resonance (MR) system having a gradient unit, frequency-dependent parameters characterizing the gradient unit of the MR system are accessed (e.g. loaded from a memory), a k-space trajectory of a RESOLVE (Readout Segmentation Of Long Variable Echo trains) sequence planned for a MR measurement is accessed, MR measurement data is acquired based on the planned k-space trajectory and reconstructing image data from the MR measurement data, and an electronic signal is provided that represents the reconstructed image data as an output of the MR system. The k-space trajectory may have a frequency component in at least one direction. The planned k-space trajectory may be corrected based on at least one frequency component of the planned k-space trajectory and the frequency-dependent parameters.
    Type: Grant
    Filed: July 23, 2021
    Date of Patent: April 11, 2023
    Assignee: Siemens Healthcare GmbH
    Inventors: Adam Kettinger, Mario Zeller
  • Publication number: 20230094955
    Abstract: An inventive computer-implemented method for creating correction data, which corrects measurement data missing in a measurement dataset recorded using a partial Fourier technique (PF technique), i.e. measurement data which was not recorded even though this is required in accordance with Nyquist for a complete measurement dataset, may include: receiving input data created on the basis of measurement data in the measurement dataset, applying at least one trained correction function to the input data to determine output data, and providing the output data. The output data may include correction information that corrects measurement data missing in the measurement dataset.
    Type: Application
    Filed: September 29, 2022
    Publication date: March 30, 2023
    Applicant: Siemens Healthcare GmbH
    Inventor: Mario Zeller
  • Publication number: 20230094606
    Abstract: Calibration data is generated for completing undersampled measurement data acquired via a magnetic resonance system. This includes recording N measurement data sets using an acquisition scheme, and undersampling the k-space with an acceleration factor R, with N being greater than or equal to R, and the N measurement data sets together scanning the k-space completely. Phase images are generated from the N recorded measurement data sets, at least one homogeneity value of the created phase images is determined, and a complete calibration data set is generated based upon the recorded measurement data sets, taking into account the at least one homogeneity value. Thus, it is possible to determine which measurement data sets are subject to undesired phase errors, the measurement data sets used for the creation of the calibration data sets can be selected optimally, and input of the detected phase errors into the calibration data sets can be avoided.
    Type: Application
    Filed: September 22, 2022
    Publication date: March 30, 2023
    Applicant: Siemens Healthcare GmbH
    Inventors: Mario Zeller, Adam Kettinger
  • Publication number: 20230098417
    Abstract: In a method for diffusion-weighted MR-imaging of an object, which undergoes a cyclic motion, a first sub-period type of the cyclic motion is predicted for a first acquisition timeframe, where the first sub-period type corresponds to one of two or more predefined characteristic types of sub-periods of the cyclic motion. A first amount of diffusion-weighting may be selected based on the first sub-period type. A first MR-acquisition may be carried out during the first acquisition timeframe, where a diffusion-weighting according to the first amount of diffusion-weighting is applied. An MR-image of the object is generated based on MR-data including a first MR-dataset obtained as a result of the first MR-acquisition.
    Type: Application
    Filed: September 22, 2022
    Publication date: March 30, 2023
    Applicant: Siemens Healthcare GmbH
    Inventors: Mario Zeller, Adam Kettinger
  • Publication number: 20230101028
    Abstract: In a method for determining at least one test position for a test measurement to be recorded by means of a magnetic resonance system, a test image is recorded, and at least one test position is selected based on the test image. With methods for the compensation of effects of deviations of gradients actually generated during a readout duration from gradients planned for this readout time duration, the selection of test positions according to the disclosure based on a test image advantageously ensures that the test positions lie in a recording region favorable for the test measurement, e.g. also within an examination object to be examined in the test image. A higher image quality in MR images, which were generated using test measurements carried out at test positions positioned according to the disclosure, can therefore be achieved.
    Type: Application
    Filed: September 29, 2022
    Publication date: March 30, 2023
    Applicant: Siemens Healthcare GmbH
    Inventors: Mario Zeller, Adam Kettinger
  • Publication number: 20230093079
    Abstract: A method for creating calibration data for processing accelerated measurement data of an object to be examined using a magnetic resonance system. The method includes recording measurement data sets using an acquisition acceleration method, recording calibration data sets, and determining processed measurement data sets from the accelerated measurement data sets using the calibration data sets so that effects of the acquisition acceleration method used are eliminated in the processed measurement data sets. The recording of the calibration data sets includes an application of at least one attenuation method for attenuating signals causing phase errors.
    Type: Application
    Filed: September 22, 2022
    Publication date: March 23, 2023
    Applicant: Siemens Healthcare GmbH
    Inventors: Mario Zeller, Adam Kettinger
  • Publication number: 20230077932
    Abstract: In a computer-implemented method for assigning at least one contrast to at least one magnetic resonance image dataset of a recording region of a patient, input data comprising magnetic resonance data of the magnetic resonance image dataset is received, at least one trained assigning function is applied to the input data, and the output data is provided. The output data includes a contrast assigning information item. The contrast exists due to the use of a contrast-specific magnetic resonance sequence during the recording.
    Type: Application
    Filed: September 16, 2022
    Publication date: March 16, 2023
    Applicant: Siemens Healthcare GmbH
    Inventor: Mario Zeller
  • Patent number: 11604240
    Abstract: In a method for recording measurement data, frequency-dependent parameters characterizing a gradient unit are loaded, a k-space trajectory planned for a MR measurement and having at least one frequency component is loaded, MR measurement data is acquired based on the planned k-space trajectory and reconstructing image data from the MR measurement data, wherein the planned k-space trajectory is corrected based on the at least one frequency component of the planned k-space trajectory and the frequency-dependent parameters, and an electronic signal representing the reconstructed image data is provided as an output of the MR system. The reconstructed image data may be stored and/or displayed. Advantageously, the correction can be employed flexibly for k-space trajectories with different frequency components.
    Type: Grant
    Filed: July 23, 2021
    Date of Patent: March 14, 2023
    Assignee: Siemens Healthcare GmbH
    Inventors: Adam Kettinger, Dominik Paul, Mario Zeller
  • Publication number: 20230072449
    Abstract: A method for actuating a magnetic resonance device according to an MR control sequence, wherein the MR control sequence includes a bipolar gradient pulse between an excitation pulse and a first refocusing pulse, and the bipolar gradient pulse induces a defined Maxwell phase and generates a dephasing gradient moment for a readout gradient.
    Type: Application
    Filed: September 2, 2022
    Publication date: March 9, 2023
    Applicant: Siemens Healthcare GmbH
    Inventors: Mario Zeller, Kun Zhou, Dominik Paul
  • Patent number: 11592507
    Abstract: A method for determining a saturation pulse for suppressing signals from unwanted areas in the context of acquiring measurement data from a target volume of an object under examination by means of a magnetic resonance system, includes: loading the characteristics of the unwanted areas from which signals are to be suppressed; determining area saturation pulses for signal suppression in each of the unwanted areas; and determining a saturation pulse for signal suppression in all the unwanted areas on the basis of the area saturation pulses determined.
    Type: Grant
    Filed: September 27, 2021
    Date of Patent: February 28, 2023
    Assignee: Siemens Healthcare GmbH
    Inventors: Dominik Paul, Mario Zeller
  • Patent number: 11585884
    Abstract: A correction method for reducing temperature-related deviations in a gradient response of an MR pulse sequence in MR imaging is provided. An MR pulse sequence that includes at least one nominal test gradient is run. A gradient response to the at least one nominal test gradient is repeatedly acquired by a magnetic field measurement in an examination region. A gradient system transfer function is determined based on the gradient response. A corrected MR pulse sequence is determined based on the gradient system transfer function and of the at least one nominal test gradient.
    Type: Grant
    Filed: August 4, 2021
    Date of Patent: February 21, 2023
    Assignee: Siemens Healthcare GmbH
    Inventors: Manuel Stich, Dominik Paul, Mario Zeller, Nadine Dispenza
  • Publication number: 20230041796
    Abstract: In a method for determining a fat-reduced MR image, a first MR image is provided having, apart from the other tissue constituents, MR signals from only one of the two fat constituents, the first MR image is applied to a trained ANN, which was trained by first MR training data as the input data, the training data including, apart from the other tissue constituents, MR signals from only the one of the two fat constituents, and using second MR training data as a base knowledge, the second MR training data including, apart from the other tissue constituents, no MR signals from the two fat constituents; and an MR output image is determined from the trained ANN, to which the first MR image was applied, as a fat-reduced MR image, wherein the fat-reduced MR image includes, apart from the other tissue constituents, no MR signals from the two fat constituents.
    Type: Application
    Filed: August 2, 2022
    Publication date: February 9, 2023
    Applicant: Siemens Healthcare GmbH
    Inventor: Mario Zeller
  • Patent number: 11547368
    Abstract: In a method and system, a medical imaging modality and the parameters to be deployed for the determined imaging modality are determined to produce an image of an examination object using the determined imaging modality and the determined parameters. Information from the preliminary examination(s) of the examination object can be automatically classified to generate classification results corresponding to interfering influence(s) resulting from the production of the image. The classification results can be analyzed to evaluate the classification results. The medical imaging modality and the parameter(s) is determined, based on the evaluated results, to minimize an influence of the interfering influences of the classification results in image(s) of the examination object generated using the determined medical imaging modality and the determined one or more parameters. The image(s) may then be generated using the determined medical imaging modality and the determined parameter(s).
    Type: Grant
    Filed: May 16, 2019
    Date of Patent: January 10, 2023
    Assignee: Siemens Healthcare GmbH
    Inventor: Mario Zeller
  • Publication number: 20230003819
    Abstract: Techniques are disclosed for use in magnetic resonance imaging (MRI) for exciting spins of a first material and spins of a second material. A first spin echo signal is acquired when the excited spins include a first phase difference, which is given by ?, and a second spin echo signal is acquired when the excited spins of the first material and the excited spins of the second material include a second phase difference, which is given by ??. An absolute value of ? lies within the interval ]0,?[. A first image for the first material and/or a second image for the second material is generated by a computing unit depending on the first spin echo signal and the second spin echo signal.
    Type: Application
    Filed: June 24, 2022
    Publication date: January 5, 2023
    Inventors: Dominik Paul, Mario Zeller, Kun Zhou
  • Patent number: 11540741
    Abstract: In a method and apparatus for supporting preparation of a patient for a medical imaging investigation, in particular a magnetic resonance investigation, patient data of a patient are acquired by operation of an acquisition unit. An item of position information of an object is calculated by a calculation computer, the calculation of the position information of the object taking place on the basis of the patient data and/or on the basis of an item of investigation information and/or on the basis of data from accessory units. The position information of the object is projected by means of a projection unit.
    Type: Grant
    Filed: March 6, 2019
    Date of Patent: January 3, 2023
    Assignee: Siemens Healthcare GmbH
    Inventor: Mario Zeller