Patents by Inventor Radhouene Neji

Radhouene Neji 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).

  • Publication number: 20240085506
    Abstract: A method for optimization of an RF pulse for exciting spins in a slab in a magnetic resonance examination is provided. The RF pulse is to be played out with a coil having a plurality of independent parallel transmit elements. The method includes receiving complex B1+ field sensitivity maps for the plurality of parallel transmit elements and dividing the slab into at least two sub-slabs. For each sub-slab, B1+ shimming is performed to optimize the RF shim settings for the plurality of parallel transmit elements. The optimized RF shim settings are combined for each sub-slab to create a multiband RF pulse that simultaneously excites the spins in the complete slab.
    Type: Application
    Filed: September 10, 2023
    Publication date: March 14, 2024
    Inventors: Ali Aghaeifar, Belinda Ding Yuan, Raphael Tomi-Tricot, Iulius Dragonu, Radhouene Neji
  • Publication number: 20240053420
    Abstract: A method for optimization of an RF pulse that is multi-band. The RF pulse is a spokes RF pulse including a train of sub-pulses. The method includes using a starting k-space position as a current k-space position, and for each of slices to be excited by the RF pulse, performing: calculating a sub-pulse based on the current k-space position and calculating an expected magnetization after that sub-pulse; calculating an inverse Fourier transform of a difference between an expected magnetization and a target magnetization; and determining an optimal k-space position for a next spoke for this slice to be at a position where an absolute value of the inverse Fourier transform has a maximum. A next k-space position is determined for all slices together based on the optimal k-space positions determined for each slice individually. A multi-band RF pulse is determined based on the determined k-space positions.
    Type: Application
    Filed: August 12, 2023
    Publication date: February 15, 2024
    Inventors: Belinda Ding Yuan, Iulius Dragonu, Raphael Tomi-Tricot, Ali Aghaeifar, Radhouene Neji
  • Publication number: 20240049976
    Abstract: Cardiac MR data sets are acquired over cardiac cycles and based on a trigger event, with each cardiac MR data set having a corresponding time stamp. A series of time differences is determined between acquisitions of the cardiac MR data sets based on the time stamps, and a default time difference representing the time difference between two consecutive cardiac MR data sets is determined, which were acquired using correct trigger events. A pair of incorrect time differences is determined, each incorrect time difference representing a time difference between two consecutive MR data sets in which at least one MR data set was acquired using an incorrect trigger event. Approved MR data sets are determined comprising cardiac MR data sets from the cardiac MR data sets which were acquired using the correct trigger event, based on the pair of incorrect time differences, and the approved MR data sets are further processed.
    Type: Application
    Filed: August 10, 2023
    Publication date: February 15, 2024
    Applicant: Siemens Healthcare GmbH
    Inventors: Karl-Philipp Kunze, Radhouene Neji
  • Publication number: 20230400544
    Abstract: One or more example embodiments discloses a computer-implemented method of reconstructing a dynamic series of magnetic resonance images of a patient, comprising acquiring first and second k-space data of the patient; reconstructing at least one proton density weighted image based on the first k-space data; generating a dynamic series of processing images based on the second k-space data and temporal regularization; applying a motion correction to processing image based on an estimated motion; registering the proton density weighted image to the motion corrected image; and applying a signal intensity correction to the dynamic series of motion corrected images based on the proton density weighted image.
    Type: Application
    Filed: June 6, 2023
    Publication date: December 14, 2023
    Applicant: Siemens Healthcare GMBH
    Inventors: Karl-Philipp KUNZE, Radhouene NEJI
  • Publication number: 20230401767
    Abstract: One or more example embodiments of the present invention relates to a method for generating MR images of the heart, the method comprising acquiring and reconstructing a first set of 2D reference images of the heart during a reference heartbeat, the first set comprising a first reference image acquired along a first reference plane position thorough the heart and acquiring a second set of 2D images of the heart during a second heartbeat.
    Type: Application
    Filed: June 6, 2023
    Publication date: December 14, 2023
    Applicant: Siemens Healthcare GmbH
    Inventors: Karl-Philipp KUNZE, Radhouene NEJI
  • Patent number: 11821972
    Abstract: The present disclosure is directed to techniques for synchronizing a rotational eccentric mass of a gravitational transducer used for a magnetic resonance elastography acquisition with a corresponding magnetic resonance elastography scan carried out by a magnetic resonance imaging system, wherein the rotation of the eccentric mass is driven by a shaft. The method includes starting the rotation of the eccentric mass at a set vibration frequency and the magnetic resonance elastography scan at a set acquisition frequency; determining the rotational position of the shaft; defining the rotational position as first reference position; calculating further reference positions. At the start time of each subsequent acquisition period, determining the current rotational position of the shaft; comparing the determined current rotational position with the theoretically expected reference position and decreasing or increasing the rotational speed of the rotational eccentric mass based on the comparison.
    Type: Grant
    Filed: March 23, 2022
    Date of Patent: November 21, 2023
    Assignee: Siemens Healthcare GmbH
    Inventors: Omar Darwish, Radhouene Neji, Ahmed M. Gharib, Ralph Sinkus
  • Patent number: 11782115
    Abstract: A computer-implemented method of reconstructing a motion-compensated magnetic resonance image uses raw k-space data acquired at a first resolution over successive respiratory and/or cardiac cycles of a patient. After binning data based on corresponding motion states derived from these cycles, the resolution of the binned K-space data in each bin is reduced. This is done by selecting a sub-group of binned k-space data. Bin images are reconstructed from the reduced-resolution data, and histogram-equalised versions of the reconstructed reduced-resolution bin image generated for each bin. Motion fields are estimated and interpolated to the first resolution such that motion data can be incorporated into a final reconstruction of a motion compensated image.
    Type: Grant
    Filed: April 26, 2022
    Date of Patent: October 10, 2023
    Assignee: Siemens Healthcare GmbH
    Inventors: Karl-Philipp Kunze, Radhouene Neji
  • Publication number: 20230309849
    Abstract: A method for generating a magnetic resonance image for diagnostic purposes takes segmented k-space data corresponding to a magnetic resonance scanner signal and determines, for each k-space segment, an image sharpness corresponding to a subspace of the k-space data generated by removing that k-space segment from the k-space data. The subspace with the highest sharpness is then used to generate the magnetic resonance image.
    Type: Application
    Filed: March 28, 2023
    Publication date: October 5, 2023
    Inventors: Alexander Neofytou, Radhouene Neji, Kuberan Pushparajah, Sebastien Roujol
  • Publication number: 20230305090
    Abstract: The present disclosure is directed to techniques for synchronizing a rotational eccentric mass of a gravitational transducer used for a magnetic resonance elastography acquisition with a corresponding magnetic resonance elastography scan carried out by a magnetic resonance imaging system, wherein the rotation of the eccentric mass is driven by a shaft. The method includes starting the rotation of the eccentric mass at a set vibration frequency and the magnetic resonance elastography scan at a set acquisition frequency; determining the rotational position of the shaft; defining the rotational position as first reference position; calculating further reference positions. At the start time of each subsequent acquisition period, determining the current rotational position of the shaft; comparing the determined current rotational position with the theoretically expected reference position and decreasing or increasing the rotational speed of the rotational eccentric mass based on the comparison.
    Type: Application
    Filed: March 23, 2022
    Publication date: September 28, 2023
    Inventors: Omar Darwish, Radhouene Neji, Ahmed M. Gharib, Ralph Sinkus
  • Patent number: 11740312
    Abstract: A method and system for performing three-dimensional, 3D, magnetic resonance elastography, MRE, using a multi-slice gradient echo, GRE, imaging sequence. Four scans typically required to be performed during MRE, and during four breath-holds, are combined into a single measurement that can be performed during a single breath-hold.
    Type: Grant
    Filed: April 1, 2022
    Date of Patent: August 29, 2023
    Assignee: Siemens Healthcare GmbH
    Inventors: Omar Darwish, Stephan Kannengießer, Ralph Sinkus, Radhouene Neji
  • Publication number: 20230010419
    Abstract: A Computer-implemented method of reconstructing a dynamic series of motion-compensated magnetic resonance images of a patient is provided. Images of a patient are acquired over time, at least partially in free-breathing, at a first image resolution and on a frame-by-frame basis. Each frame of the k-space data includes a first subset of data points having a first sample density and a second subset of data points having a second sample density. For each frame, a sub-group of the first subset and the second subset of the k-space data is selected, and an image is reconstructed at a second image resolution. The motion between the second image resolution images is estimated in the form of motion fields. The motion information is incorporated into a final reconstruction of a dynamic series of motion-compensated magnetic resonance images of the patient at a third image resolution.
    Type: Application
    Filed: June 29, 2022
    Publication date: January 12, 2023
    Inventors: Karl-Philipp Kunze, Radhouene Neji
  • Patent number: 11543478
    Abstract: A method and apparatus for generating a T1 or T2 map for a three-dimensional (3D) image volume of a subject. The method includes acquiring first, second, and third 3D images of the image volume of the subject. Signal evolutions of voxels through the first to third 3D images by comparing voxel intensity levels of corresponding voxel locations in the first, second, and third 3D images. A simulation dictionary representing the signal evolutions for a number of different tissue parameter combinations is obtained. The T1 or T2 map is generated by comparing the determined signal evolutions to entries in the dictionary and by finding, for each of the determined signal evolutions, the entry in the dictionary that best matches the determined signal evolution.
    Type: Grant
    Filed: February 6, 2020
    Date of Patent: January 3, 2023
    Assignees: Siemens Healthcare Limited, King's College, London
    Inventors: Rene Botnar, Radhouene Neji, Claudia Prieto, Giorgia Milotta
  • Patent number: 11517198
    Abstract: The present techniques relate to a techniques for performing cardiac perfusion imaging in order to detect perfusion defects in the myocardium. The present techniques relate to methods for performing cardiac perfusion imaging by performing at least two image acquisitions using different, customizable saturation delay times, which improves the ability to detect defects.
    Type: Grant
    Filed: January 27, 2021
    Date of Patent: December 6, 2022
    Assignees: Siemens Healthcare Limited, King's College London
    Inventors: Giulio Ferrazzi, Amedeo Chiribiri, Karl-Philipp Kunze, Sarah McElroy, Radhouene Neji, Sebastien Roujol
  • Publication number: 20220349973
    Abstract: A computer-implemented magnetic resonance image optimisation method is disclosed. An image of an object is mapped using a static magnetic field and divided into a plurality of voxels. Each voxel is represented in a Euclidean n-dimensional space, where n?3, and clustered by grouping together voxels having similar characteristics to create homogenous clusters. The centre or centroid of each cluster is determined, and used, or the voxel closest to either the centre or the centroid is used, as a super-voxel in an optimisation procedure. An optimised diagnostic image of the object is then generated.
    Type: Application
    Filed: April 26, 2022
    Publication date: November 3, 2022
    Applicant: Siemens Healthcare GmbH
    Inventors: Raphael TOMI-TRICOT, Radhouene NEJI
  • Publication number: 20220349976
    Abstract: A computer-implemented method of reconstructing a motion-compensated magnetic resonance image uses raw k-space data acquired at a first resolution over successive respiratory and/or cardiac cycles of a patient. After binning data based on corresponding motion states derived from these cycles, the resolution of the binned K-space data in each bin is reduced. This is done by selecting a sub-group of binned k-space data. Bin images are reconstructed from the reduced-resolution data, and histogram-equalised versions of the reconstructed reduced-resolution bin image generated for each bin. Motion fields are estimated and interpolated to the first resolution such that motion data can be incorporated into a final reconstruction of a motion compensated image.
    Type: Application
    Filed: April 26, 2022
    Publication date: November 3, 2022
    Applicant: Siemens Healthcare GmbH
    Inventors: Karl-Philipp KUNZE, Radhouene NEJI
  • Publication number: 20220336085
    Abstract: A method for reconstructing a set of one or more MRI images from one or more segmented acquisitions of MRI raw data includes, for each respective shot capturing a part of the MRI raw data of the respective images, capturing and reconstructing a low-resolution navigation image of a region of interest, either from the part of the MRI raw data or from an additional MRI raw data acquired adjacent to the part of the MRI raw data in time. Each segmented acquisition consists of a number of shots.
    Type: Application
    Filed: April 15, 2022
    Publication date: October 20, 2022
    Inventors: Karl-Philipp Kunze, Radhouene Neji
  • Publication number: 20220317219
    Abstract: The present disclosure generally relate to a method and system for performing three-dimensional, 3D, magnetic resonance elastography, MRE. In particular, the present disclosure relates to a method and system for imaging an area of a patient using a multi-slice gradient echo, GRE, imaging sequence. Advantageously, the present techniques enable the four scans that are typically required to be performed during MRE, and during four breath-holds, to be combined into a single measurement that can be performed during a single breath-hold.
    Type: Application
    Filed: April 1, 2022
    Publication date: October 6, 2022
    Inventors: Omar Darwish, Stephan Kannengiesser, Ralph Sinkus, Radhouene Neji
  • Patent number: 11454692
    Abstract: In a method of performing magnetic resonance (MR) imaging, an MR apparatus, and a computer-readable medium during a first cardiac cycle of a subject, a first imaging sequence is generated for application to a subject. The first imaging sequence has a preparatory pulse and an inversion recovery pulse following the preparatory pulse. First signals emitted from the subject in response to the first imaging sequence are detected, and first image data are generated based on the first signals. During a second cardiac cycle following the first cardiac cycle, a second imaging sequence is generated for application to the subject. The second imaging sequence has a preparatory pulse. Second signals emitted from the subject in response to the second imaging sequence are detected, and second image data are generated based on the second signals.
    Type: Grant
    Filed: August 22, 2018
    Date of Patent: September 27, 2022
    Assignee: Siemens Healthcare GmbH
    Inventors: Rene Botnar, Giulia Ginami, Radhouene Neji, Claudia Prieto
  • Patent number: 11360178
    Abstract: In a method for reconstructing magnetic resonance (MR) image data from k-space data, k-space data of an image region of a subject are provided to a computer that is also provided with multiple navigator signals for the image region of the subject. The computer sorts the k-space data into multiple bins, the multiple bins representing different motion states of the subject. For each of the multiple bins, the computer executes a compressed sensing procedure to reconstruct the MR image data from the k-space data in the respective bin. Execution of the compressed sensing procedure includes solving an optimization problem comprising a data consistency component and a transform sparsity component. Motion information is incorporated by the computer into at least one of the data consistency component and the transform sparsity component of the optimization problem.
    Type: Grant
    Filed: April 12, 2019
    Date of Patent: June 14, 2022
    Assignee: Siemens Healthcare GmbH
    Inventors: Rene Botnar, Teresa Correia, Radhouene Neji, Claudia Prieto
  • Patent number: 11253154
    Abstract: A method and system for imaging a body using a magnetic resonance imaging (MRI) apparatus, including motion tracking of a target object of the body using MRI by generating an MRI image of a region of interest of the body by performing a weighted combination of a signal received by each coil of an MRI apparatus during an MRI scan.
    Type: Grant
    Filed: August 26, 2020
    Date of Patent: February 22, 2022
    Assignees: Siemens Healthcare GmbH, King's College, London
    Inventors: Christoph Forman, Radhouene Neji, Karl-Philipp Kunze, Rene Botnar, Claudia Prieto