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: 11963754
    Abstract: Accelerated acquisition of scan data by means of magnetic resonance to enable short echo times so that scan data of substances can also be acquired with a transversal relaxation time.
    Type: Grant
    Filed: September 30, 2020
    Date of Patent: April 23, 2024
    Assignee: Siemens Healthineers AG
    Inventors: Nadine Dispenza, Ralf Kartaeusch, Dominik Paul, Manuel Stich, Mario Zeller
  • Publication number: 20240111011
    Abstract: A method for creating image data of an examination object using a magnetic resonance system, including: acquiring a first and at least a second set of measurement data at least of one slice, wherein during each acquisition of measurement data different acceleration factors and/or different field of view shift factors are used; and reconstructing image data based on the acquired sets of measurement data.
    Type: Application
    Filed: September 29, 2023
    Publication date: April 4, 2024
    Applicant: Siemens Healthcare GmbH
    Inventor: Mario Zeller
  • Publication number: 20240111010
    Abstract: Techniques for optimizing protocol parameters of an MR protocol are provided. The techniques provides for a combined safety/operability test gradient-specific gradient factors Fx already determined prior to the performance of a test on an MR protocol and noise optimization of the MR protocol by means of a noise optimization method are used, with adjusted protocol parameters determined after the determination of the gradient-specific gradient factors Fx via a test performed on the MR protocol, in the creation of an adjusted MR protocol. As a result, valuable computing time for the combined testing and optimization is saved, since multiplication of the parameter space of both the methods can be omitted. A method for the combined testing and noise optimization is herewith greatly accelerated by the use of pre-prepared gradient information, e.g. in the form of gradient factors.
    Type: Application
    Filed: September 28, 2023
    Publication date: April 4, 2024
    Applicant: Siemens Healthcare GmbH
    Inventors: Dominik Paul, Mario Zeller, Flavio Carinci
  • Patent number: 11940518
    Abstract: The disclosure relates to a technique for providing an image of diagnostically relevant area of a jaw region of a patient by means of a magnetic resonance apparatus by capturing information about the jaw region of the patient, which comprises at least one reference to a position and/or an extent of the diagnostically relevant area of the jaw region. The technique also includes adjusting a parameter of a magnetic resonance measurement as a function of the captured information about the jaw region of the patient, carrying out the magnetic resonance measurement with the adjusted parameter, capturing image data of the jaw region of the patient, reconstructing an image of the diagnostically relevant area of the jaw region as a function of the captured image data, and providing the image of the diagnostically relevant area of the jaw region of the patient.
    Type: Grant
    Filed: March 25, 2022
    Date of Patent: March 26, 2024
    Assignee: Siemens Healthineers AG
    Inventors: Andreas Greiser, Carmel Hayes, Mario Zeller
  • Patent number: 11899087
    Abstract: A computer-implemented method is described for evaluating magnetic resonance data of a scan region of a patient acquired by means of a magnetic resonance device, wherein, following acquisition of at least two image datasets using an acquisition technique at different echo times in each case, by combination of the image datasets, at least two combination datasets, each showing magnetic resonance signals of a different spin species, are determined, wherein, in order to assign a spin species shown in the combination dataset to each combination dataset, an input dataset is determined from the combination datasets, and the input dataset is evaluated by means of an assignment algorithm which comprises a trained function and which determines assignment information assigning to each combination dataset the spin species shown therein, wherein a pre-trained function trained further with regard to the spin species assignment by means of transfer learning is used as the trained function.
    Type: Grant
    Filed: November 24, 2021
    Date of Patent: February 13, 2024
    Assignee: Siemens Healthcare GmbH
    Inventor: Mario Zeller
  • Patent number: 11899088
    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: Grant
    Filed: June 24, 2022
    Date of Patent: February 13, 2024
    Assignee: Siemens Healthcare GmbH
    Inventors: Dominik Paul, Mario Zeller, Kun Zhou
  • Publication number: 20240036142
    Abstract: In a method for slice-specific correction of scan data recorded for at least two slices simultaneously of an examination object using an EPI-SMS technique, navigator signals encoded in a slice selection direction using a bipolar readout gradient for the at least two slices temporally after a RF excitation pulse radiated into the examination object and temporally before the recording of scan data to be corrected may be simultaneously recorded. Mean navigator signal(s) from at least two of the recorded navigator signals of a same polarity may be determined. Single-slice navigator signals may be determined based on the mean navigator signal and a navigator signal having been recorded with the same polarity as the mean navigator signal(s), but with a different slice selection encoding. Slice-specific correction data from the single-slice navigator signals may be determined, and scan data may be corrected based on the slice-specific correction data.
    Type: Application
    Filed: July 28, 2023
    Publication date: February 1, 2024
    Applicant: Siemens Healthcare GmbH
    Inventors: Mario Zeller, Adam Kettinger
  • Publication number: 20240036136
    Abstract: In a method for processing fully sampled k-space MRI imaging data associated with a tissue of interest within a FOV, a neural network may be trained using undersampled k-space MRI imaging data associated with the tissue of interest. At least one subset of the fully sampled k-space MRI imaging data may be obtained based on an input dimension of the trained neural network such that a dimension of each one of the at least one subset is the same as the input dimension. Each one of the at least one subset of the fully sampled k-space MRI imaging data may be processed by the trained neural network, respectively. Spatial domain MRI imaging data associated with the tissue of interest within the FOV may be accordingly determined based on corresponding output of the trained neural network.
    Type: Application
    Filed: July 26, 2023
    Publication date: February 1, 2024
    Applicant: Siemens Healthcare GmbH
    Inventor: Mario Zeller
  • Publication number: 20240036140
    Abstract: A technique for slice-specific correction of scan data recorded for at least two slices simultaneously of an examination object via an EPI-SMS is provided. The technique comprises recording slice separation reference scan data, generating scan data that is to be corrected, and recording phase-encoded navigator signals simultaneously for the at least two slices after an RF excitation pulse radiated into the examination object and before the recording of scan data to be corrected. The at least one navigator signal is recorded for each possible polarity and different phase-encoding of the navigator signals that is used. The technique further comprises separating the navigator signals simultaneously recorded for the at least two slices into single-slice navigator signals using the slice separation reference scan data, determining slice-specific correction data from the single-slice navigator signals, and correcting scan data that is to be corrected by means of the slice-specific correction data.
    Type: Application
    Filed: July 27, 2023
    Publication date: February 1, 2024
    Applicant: Siemens Healthcare GmbH
    Inventors: Mario Zeller, Adam Kettinger
  • Patent number: 11883147
    Abstract: Method for operating an MR device to acquire MR data slices, wherein in a sequence section of an MR sequence, MR signals of at least two slices are measured simultaneously, and an acquisition order having an association of slices to respective sequence sections of a repetition sequence covering all slices of an associated concatenation is determined using an ordering rule. A crosstalk criterion is evaluated for the acquisition order by checking whether a first slice acquired in a last sequence section of the repetition sequence is directly adjacent to a second slice acquired in a first sequence section of the same repetition sequence. If the crosstalk criterion is fulfilled, the acquisition order is adapted according to an adaptation rule such that a larger temporal acquisition distance between the acquisition of the first and the second slices is provided.
    Type: Grant
    Filed: June 15, 2022
    Date of Patent: January 30, 2024
    Assignee: Siemens Healthcare GmbH
    Inventors: Flavio Carinci, Mario Zeller, Dominik Paul
  • Patent number: 11885860
    Abstract: In a computer-implemented method for setting a field of view for a magnetic resonance scan, exclusion information describing a region of the original field of view that is unmapped owing to the distortion is ascertained on the basis of the distortion map for at least one first set of field-of-view parameters describing a rectangular or cuboidal original field of view, the exclusion information is used to determine a second set of field-of-view parameters to be used for the magnetic resonance scan, and the magnetic resonance scan is performed using the second set of field-of-view parameters.
    Type: Grant
    Filed: June 9, 2022
    Date of Patent: January 30, 2024
    Assignee: Siemens Healthcare GmbH
    Inventors: Dominik Paul, Hans-Peter Fautz, Mario Zeller, David Grodzki, Hannah Hale
  • Patent number: 11879954
    Abstract: In a method for correcting chemical shift artifacts, CSA, a convolutional neural network (CNN) may be provided, which is trained using acquisition data acquired in phase and in opposed phase by a DIXON MR method that may include acquisition data that contains CSA in mutually opposite directions and acquisition data that contains CSA only in one direction. The CNN may be trained to transform acquisition data obtained by the fast DIXON MR method so the acquisition data acquired by the fast DIXON MR method exhibits CSA that arise only in the same direction. The method may further include acquiring fast DIXON MR acquisition data using respective control instructions and applying the trained CNN to the acquisition data to minimize or entirely remove the CSA and to calculate corrected acquisition data. The CSA may arise in the magnetic resonance DIXON method when using fast DIXON MR to capture the echoes.
    Type: Grant
    Filed: June 28, 2022
    Date of Patent: January 23, 2024
    Assignee: Siemens Healthcare GmbH
    Inventor: Mario Zeller
  • Patent number: 11880914
    Abstract: A method serves for MR-based reconstruction of images of a patient. Whether a value of a movement of the patient in at least one motion direction during an MR scan exceeds a respective threshold value is monitored. If this is not the case, an image reconstruction is performed by a Wave-CAIPI method on the basis of identical calibrated PSF subfunctions for all k-space lines. When this is the case, a number of bins are provided that correspond to sequential value ranges of the patient movement in at least one motion direction, the k-space lines are assigned to the bins based on a movement value determined during their respective acquisition, a calibration of PSF subfunctions is performed for at least two bins on the basis of the k-space lines assigned to said bins, and an image reconstruction is performed by a Wave-CAIPI method in such a way that the PSF subfunctions associated with the assigned bins are used for the respective k-space lines.
    Type: Grant
    Filed: April 26, 2021
    Date of Patent: January 23, 2024
    Assignee: Siemens Healthcare GmbH
    Inventors: Nadine Dispenza, Dominik Paul, Mario Zeller
  • Publication number: 20240016408
    Abstract: A computer-implemented method for assessing an image-generating procedure of magnetic resonance imaging, wherein in the image-generating procedure, an image recording procedure using at least one accelerating technique is combined with a reconstruction procedure comprising a reconstruction function trained using machine learning, wherein the method includes: establishing a spatially resolved image quality metric for a magnetic resonance image generated with the image-generating procedure; evaluating the image quality metric using at least one measure criterion with which at least one notification and/or adaptation measure is associated; and carrying out the at least one notification and/or adaptation measure for each fulfilled measure criterion.
    Type: Application
    Filed: July 17, 2023
    Publication date: January 18, 2024
    Applicant: Siemens Healthcare GmbH
    Inventor: Mario Zeller
  • Publication number: 20240008820
    Abstract: In a method and system for reducing motion artifacts in magnetic resonance image data acquired from a facial region of a patient, the patient is positioned in an imaging region of a magnetic resonance imaging device configured to perform a magnetic resonance measurement of the facial region of the patient, the magnetic resonance measurement is performed to acquire magnetic resonance image data of the facial region of the patient, and a motion correction technique is employed exploiting an accessibility to the facial region of the patient during the magnetic resonance measurement. The motion correction technique advantageously reduces an influence of a patient motion on the magnetic resonance image data.
    Type: Application
    Filed: September 25, 2023
    Publication date: January 11, 2024
    Applicant: Siemens Healthcare GmbH
    Inventors: David Grodzki, Mario Zeller, Carmel Hayes, René Kartmann
  • Patent number: 11854189
    Abstract: A method for compiling a dental overview map of the dentition of an examination object on the basis of magnetic resonance (MR) data from a MR measurement of the dentition. Performing an MR measurement for acquiring MR data from the dentition. Performing an analysis of sections of the dentition in order to determine an abnormality on the basis of the MR data, wherein a section of the dentition includes a subset of the number of teeth in the dentition, and determining an abnormality in at least one section. Compiling a dental overview map as a function of the MR data and the abnormality of the at least one section of the dentition. Providing the dental overview map.
    Type: Grant
    Filed: November 25, 2020
    Date of Patent: December 26, 2023
    Assignee: Siemens Healthcare GmbH
    Inventors: Andreas Greiser, Lars Lauer, Rene Kartmann, David Grodzki, Mario Zeller
  • Patent number: 11841409
    Abstract: The disclosure relates to techniques for determining an acquisition order identified with an acquired magnetic resonance data set, which comprises a total number of slices, using a simultaneous multislice technique.
    Type: Grant
    Filed: June 24, 2022
    Date of Patent: December 12, 2023
    Assignee: Siemens Healthcare GmbH
    Inventors: Mario Zeller, Flavio Carinci, Dominik Paul
  • Publication number: 20230366957
    Abstract: According to a method, first magnetic resonance signals are captured at a first time point. Second magnetic resonance signals are captured at a second time point. The first magnetic resonance signals are provoked by nuclear spin excitations of fat and water in an examination object. The second magnetic resonance signals are provoked by nuclear spin excitations of fat and water in the examination object. The nuclear spin excitations of fat and water are in phase at the first time point. The nuclear spin excitations of fat and water are in opposed phase at the second time point. A Bo field map is determined based on the first magnetic resonance signals and the second magnetic resonance signals. Further magnetic resonance signals are captured. At least one magnetic resonance mapping is determined by reconstructing the further magnetic resonance signals. The at least one magnetic resonance mapping is corrected based on the Bo field map.
    Type: Application
    Filed: May 15, 2023
    Publication date: November 16, 2023
    Inventor: Mario Zeller
  • Patent number: 11815578
    Abstract: In a method for avoiding artifacts during acquisition of MR data, a first measurement data set (MDS) of a target region of the examination object and at least one second MDS of the target region are acquired, and a combined MDS is created based on the acquired data sets. The first MDS does not sample a first region of k-space to be sampled according to Nyquist and corresponding to a first partial factor, and a second MDS does not sample a second region of k-space to be sampled according to Nyquist and corresponding to a second partial factor. The first and second regions of the k-space are different from each other. Advantageously, a k-space region acquired in none of the acquisitions made can be minimized by the inventive variation in the respective sampling pattern of the acquired MDS, so artifacts are reduced/avoided in MR images reconstructed from the MDS.
    Type: Grant
    Filed: April 22, 2022
    Date of Patent: November 14, 2023
    Assignee: Siemens Healthcare GmbH
    Inventor: Mario Zeller
  • Patent number: 11810227
    Abstract: In a system and method for performing MR image reconstruction based on acquired MR measurement data of an organ structure of a patient, the MR measurement data of the organ structure is received, a-priori information about the organ structure from which the MR measurement data have been acquired is received, MR image reconstruction is performed based on the MR measurement data and taking into account the a-priori information, and the reconstructed MR image data is provided.
    Type: Grant
    Filed: November 24, 2020
    Date of Patent: November 7, 2023
    Assignee: Siemens Healthcare GmbH
    Inventors: Mario Zeller, David Grodzki