Patents by Inventor Mathias Nittka
Mathias Nittka 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).
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Publication number: 20240061056Abstract: A magnetic resonance imaging examination of an anatomic region of a subject is performed with a magnetic resonance imaging system. A fast metal detection sequence configured to detect the presence of a metal object within or at the subject is performed. A control unit determines whether a metal object is detected, wherein the control unit initiates a standard examination workflow if no metal object is detected during the fast metal detection sequence, and wherein the control unit initiates a modified examination workflow that is different from the standard examination workflow if a metal object is detected during the fast metal detection sequence.Type: ApplicationFiled: August 16, 2023Publication date: February 22, 2024Inventors: Mathias Nittka, Inge Manuela Brinkmann, Torsten Ehlers, Jan Fritz
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Publication number: 20240055108Abstract: A method for assigning a medical device may be implemented in a scheduler agent apparatus. The method may include receiving, from a patient agent apparatus, a utilization request containing patient parameters for examining a patient by a medical device from the group; determining the suitability of at least one medical device from the group for the examination based on the patient parameter or parameters and one or more device parameters; assigning a medical device determined to be suitable to the utilization request based on the patient parameter or parameters and device parameters; transmitting, to the patient agent apparatus, a notification regarding the assignment; and transmitting a notification to an device agent apparatus associated with the assigned medical device.Type: ApplicationFiled: August 14, 2023Publication date: February 15, 2024Applicant: Siemens Healthcare GmbHInventors: Mathias Nittka, Armin Stranjak, Christoph Forman, Robert Grimm
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Patent number: 11874355Abstract: Determining parameter values in image points of an examination object in an MR system by an MRF technique. Comparison signal waveforms, established using predetermined recording parameters, and each assigned to predetermined values of the parameters to be determined, are loaded. An image point time series of the examination object is acquired with an MRF recording method such that the acquired image point time series are comparable with the loaded comparison signal waveforms. A signal comparison of a section of the respective signal waveform of the acquired one image point time series is carried out with a corresponding section of loaded comparison signal waveforms to establish similarity values. The values of the parameters to be determined on the basis of the most similar comparison signal waveforms determined are determined, and then stored or output.Type: GrantFiled: May 6, 2020Date of Patent: January 16, 2024Assignee: Siemens Healthcare GmbHInventors: Stephan Kannengiesser, Thomas Kluge, Gregor Körzdörfer, Mathias Nittka, Josef Pfeuffer, Peter Speier
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Patent number: 11733333Abstract: In a method for generating an image data set and a reference image data set: a first raw data set is provided that is acquired with a MR system and that includes measurement signals at read-out points in k-space that lie on a first k-space trajectory; a second raw data set is provided that is acquired with the same MR system and at the same examination object at read-out points that lie on a second, different k-space trajectory that is different from the first k-space trajectory; image data sets are reconstructed from the first raw data set; a reference image data set is reconstructed from the second raw data set; the reference image data set is compared with each image dataset to generate respective similarity values; and an image data set is selected having a greatest similarity value.Type: GrantFiled: November 23, 2020Date of Patent: August 22, 2023Assignee: Siemens Healthcare GmbHInventors: Gregor Koerzdoerfer, Mathias Nittka
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Patent number: 11721049Abstract: In a method for generating an image dataset and one reference image dataset: a first raw dataset is provided that is recorded using a MR system, the first raw dataset including measurement signals at readout points in k-space that lie on a first k-space trajectory; a second raw dataset is provided that is recorded using the same MR system and on the same examination object, the second raw dataset including measurement signals at readout points in k-space that lie on a second, different k-space trajectory; image datasets are reconstructed from the first raw dataset, where a separate equalization coefficient set is used before the reconstruction of each image dataset; a reference image dataset is reconstructed from the second raw dataset; the reference image data set is compared with each image dataset to generate respective similarity values; and the image dataset is selected with a greatest similarity value.Type: GrantFiled: November 23, 2020Date of Patent: August 8, 2023Assignee: Siemens Healthcare GmbHInventors: Gregor Koerzdoerfer, Mathias Nittka
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Patent number: 11662408Abstract: MR fingerprinting method in which an MR pulse sequence succession is output multiple times. The MR pulse sequence succession has MR pulse sequences of a same type output successively in time and differing in terms of a pulse sequence parameter that is varied according to a predefined scheme. During the first output, raw data from a region of interest (ROI) of an object is acquired in a short time interval by the raw data being acquired at a low information density. The total information density of the acquisition is increased with each repetition of the output. After the acquisition, image data from the ROI is reconstructed based on the acquired raw data. MR-parameter value datasets associated with reference image data and having MR parameter values, are determined by comparing the reconstructed image data with the reference image data. MR parameter maps are determined based on the determined MR parameter values.Type: GrantFiled: August 5, 2021Date of Patent: May 30, 2023Assignee: Siemens Healthcare GmbHInventors: Mathias Nittka, Gregor Körzdörfer
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Patent number: 11639978Abstract: In a method and apparatus for determining parameter values in voxels of an examination object using magnetic resonance fingerprinting (MRF), a first signal comparison is made of signal characteristics of established voxel time series with first comparison signal characteristics. Further synthetic comparison signal characteristics are generated from the first comparison signal characteristics and values determined in the first signal comparison. The generated further comparison signal characteristics are used to perform a further signal comparison, with which values of at least a first and a second further parameter are determined. From the further comparison signal characteristics, a value of at least one further parameter is determined that could not necessarily already be determined in the first signal comparison.Type: GrantFiled: June 21, 2019Date of Patent: May 2, 2023Assignee: Siemens Healthcare GmbHInventors: Gregor Koerzdoerfer, Mathias Nittka, Jianing Pang, Peter Speier
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Patent number: 11619695Abstract: In a Method and a device for magnetic resonance imaging of a subject using a spoiled gradient echo sequence, a B0 magnetic field strength of at most 1.5 T is used during the sequence. As part of the sequence a slice select gradient acting as a spoil gradient is played out. Substantially simultaneously with the slice select gradient a predetermined RF pulse is played out in the sequence, wherein a time-bandwidth product of the RF pulse is set so that a majority of the energy of the RF pulse is transmitted in its central main lobe.Type: GrantFiled: December 31, 2020Date of Patent: April 4, 2023Assignee: Siemens Healthcare GmbHInventors: David Grodzki, Gregor Koerzdoerfer, Mathias Nittka
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Patent number: 11609295Abstract: The disclosure facilitates determining patient motion during a magnetic resonance protocol. According to some examples, the patient motion may be corrected or compensated.Type: GrantFiled: March 26, 2020Date of Patent: March 21, 2023Assignee: Siemens Healthcare GmbHInventors: Gregor Koerzdoerfer, Mathias Nittka
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Patent number: 11580381Abstract: For machine training and application of a trained complex-valued machine learning model, an activation function of the machine learning model, such as a neural network, includes a learnable parameter that is complex or defined in a complex domain with two dimensions, such as real and imaginary or magnitude and phase dimensions. The complex learnable parameter is trained for any of various applications, such as MR fingerprinting, other medical imaging, or non-medical uses.Type: GrantFiled: April 25, 2019Date of Patent: February 14, 2023Assignee: Siemens Healthcare GmbHInventors: Guillaume Daval Frerot, Xiao Chen, Simon Arberet, Boris Mailhe, Mariappan S. Nadar, Peter Speier, Mathias Nittka
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Publication number: 20220229136Abstract: Determining parameter values in image points of an examination object in an MR system by an MRF technique. Comparison signal waveforms, established using predetermined recording parameters, and each assigned to predetermined values of the parameters to be determined, are loaded. An image point time series of the examination object is acquired with an MRF recording method such that the acquired image point time series are comparable with the loaded comparison signal waveforms. A signal comparison of a section of the respective signal waveform of the acquired one image point time series is carried out with a corresponding section of loaded comparison signal waveforms to establish similarity values. The values of the parameters to be determined on the basis of the most similar comparison signal waveforms determined are determined, and then stored or output.Type: ApplicationFiled: May 6, 2020Publication date: July 21, 2022Applicant: Siemens Healthcare GmbHInventors: Stephan Kannengiesser, Thomas Kluge, Gregor Körzdörfer, Mathias Nittka, Josef Pfeuffer, Peter Speier
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Patent number: 11373392Abstract: A method for performing magnetic resonance fingerprinting includes acquiring a plurality of MR image datasets using at least two pulse sequence types, the plurality of MR image datasets representing signal evolutions for image elements in a region of interest, comparing the plurality of MR image datasets to a dictionary of signal evolutions to identify at least one parameter of the MR image datasets and generating a report indicating the at least one parameter of the MR image datasets.Type: GrantFiled: April 8, 2019Date of Patent: June 28, 2022Assignees: Case Western Reserve University, Siemens Healthcare GMBHInventors: Mathias Nittka, Gregor Korzdorfer, Peter Speier, Mark A. Griswold, Yun Jiang
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Patent number: 11346911Abstract: Machine training a network for and use of the machine-trained network are provided for tissue parameter estimation for a magnetic scanner using magnetic resonance fingerprinting. The machine-trained network is trained to both reconstruct a fingerprint image or fingerprint and to estimate values for multiple tissue parameters in magnetic resonance fingerprinting. The reconstruction of the fingerprint image or fingerprint may reduce noise, such as aliasing, allowing for more accurate estimation of the values of the multiple tissue parameters from the under sampled magnetic resonance fingerprinting information.Type: GrantFiled: January 3, 2019Date of Patent: May 31, 2022Assignee: Siemens Healthcare GmbHInventors: Guillaume Daval Frerot, Xiao Chen, Mariappan S. Nadar, Peter Speier, Mathias Nittka, Boris Mailhe, Simon Arberet
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Publication number: 20220043087Abstract: MR fingerprinting method in which an MR pulse sequence succession is output multiple times. The MR pulse sequence succession has MR pulse sequences of a same type output successively in time and differing in terms of a pulse sequence parameter that is varied according to a predefined scheme. During the first output, raw data from a region of interest (ROI) of an object is acquired in a short time interval by the raw data being acquired at a low information density. The total information density of the acquisition is increased with each repetition of the output. After the acquisition, image data from the ROI is reconstructed based on the acquired raw data. MR-parameter value datasets associated with reference image data and having MR parameter values, are determined by comparing the reconstructed image data with the reference image data. MR parameter maps are determined based on the determined MR parameter values.Type: ApplicationFiled: August 5, 2021Publication date: February 10, 2022Applicant: Siemens Healthcare GmbHInventors: Mathias Nittka, Gregor Körzdörfer
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Patent number: 11209511Abstract: Techniques are disclosed for providing a first magnetic resonance fingerprinting dictionary using fingerprints having a first length. A transformation matrix is also utilized that is configured to shorten the fingerprints to a second length that is shorter than the first length. A second magnetic resonance fingerprinting dictionary may then be obtained by multiplying the first magnetic resonance fingerprinting dictionary with the transformation matrix, with the fingerprints of the magnetic resonance fingerprinting dictionary having the second length. This facilitates the storage of a MRF dictionary that takes up less storage space and decreases the time taken to perform scanning operations.Type: GrantFiled: May 23, 2019Date of Patent: December 28, 2021Assignee: Siemens Healthcare GmbHInventors: Mathias Nittka, Gregor Koerzdoerfer, Peter Speier, Jianing Pang
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Patent number: 11131733Abstract: A system and method is provided for acquisition of magnetic resonance fingerprinting (“MRF”) data that includes determining a non-locally sequential sampling pattern for a Cartesian grid of k-space, performing a series of sequence blocks using acquisition parameters that vary between sequence blocks to acquire MRF data from a subject using the Cartesian grid of k-space and the determined non-locally sequential sampling pattern, assembling the MRF data into a series of signal evolutions, comparing the series of signal evolutions to a dictionary of known signal evolutions to determine tissue properties of the subject, and generating a report indicating the tissue properties of the subject.Type: GrantFiled: April 27, 2020Date of Patent: September 28, 2021Assignees: Case Western Reserve University, Siemens Healthcare GmbHInventors: Yun Jiang, Mark A. Griswold, Gregor Korzdorfer, Mathias Nittka
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Patent number: 11073585Abstract: A magnetic resonance fingerprinting (MRF) method for determining parameter values in pixels of an examination object can use a magnetic resonance system with, for example, a constant magnetic field strength (e.g. of less than 1.5 tesla or a constant magnetic field strength of less than 0.5 tesla). The MRF method can be adapted for conditions that prevail with such low-field magnetic resonance systems, thus enabling the parameter values to be advantageously determined efficiently while simultaneously maintaining a high degree of quality.Type: GrantFiled: September 26, 2019Date of Patent: July 27, 2021Assignee: Siemens Healthcare GmbHInventors: Gregor Koerzdoerfer, Mathias Nittka, Peter Speier
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Publication number: 20210208228Abstract: In a Method and a device for magnetic resonance imaging of a subject using a spoiled gradient echo sequence, a B0 magnetic field strength of at most 1.5 T is used during the sequence. As part of the sequence a slice select gradient acting as a spoil gradient is played out. Substantially simultaneously with the slice select gradient a predetermined RF pulse is played out in the sequence, wherein a time-bandwidth product of the RF pulse is set so that a majority of the energy of the RF pulse is transmitted in its central main lobe.Type: ApplicationFiled: December 31, 2020Publication date: July 8, 2021Applicant: Siemens Healthcare GmbHInventors: David Grodzki, Gregor Koerzdoerfer, Mathias Nittka
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Patent number: 11047945Abstract: Generation of a preview image using magnetic resonance signals is provided. A method for the generation of a preview image using magnetic resonance signals includes acquiring a first part and a second part of magnetic resonance signals. During the acquisition of the first part of the magnetic resonance signals, a first k-space is regularly sampled, while, during the acquisition of the second part of the magnetic resonance signals, a second k-space is sampled in a pseudorandomized manner. The first part of the magnetic resonance signals is used to generate a preview image. The second part or the second part and a subset of the first part of the magnetic resonance signals are stored for the generation of a second image.Type: GrantFiled: March 12, 2016Date of Patent: June 29, 2021Assignee: SIEMENS AKTIENGESELLSCHAFTInventor: Mathias Nittka
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Publication number: 20210166447Abstract: In a method for generating an image dataset and one reference image dataset: a first raw dataset is provided that is recorded using a MR system, the first raw dataset including measurement signals at readout points in k-space that lie on a first k-space trajectory; a second raw dataset is provided that is recorded using the same MR system and on the same examination object, the second raw dataset including measurement signals at readout points in k-space that lie on a second, different k-space trajectory; image datasets are reconstructed from the first raw dataset, where a separate equalization coefficient set is used before the reconstruction of each image dataset; a reference image dataset is reconstructed from the second raw dataset; the reference image data set is compared with each image dataset to generate respective similarity values; and the image dataset is selected with a greatest similarity value.Type: ApplicationFiled: November 23, 2020Publication date: June 3, 2021Applicant: Siemens Healthcare GmbHInventors: Gregor Koerzdoerfer, Mathias Nittka