Patents by Inventor Peter J. Basser
Peter J. Basser 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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Patent number: 11846690Abstract: Multi-dimensional spectra associated with a specimen are reconstructed using lower dimensional spectra as constraints. For example, a two-dimensional spectrum associated with diffusivity and spin-lattice relaxation time is obtained using one-dimensional spectra associated with diffusivity and spin-lattice relaxation time, respectively, as constraints. Data for a full two dimensional spectrum are not acquired, leading to significantly reduced data acquisition times.Type: GrantFiled: July 13, 2022Date of Patent: December 19, 2023Assignee: The United States of America, as represented by the Secretary, Department of Health and Human ServicesInventors: Peter J. Basser, Dan H. Benjamini
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Patent number: 11835611Abstract: Isotropic generalized diffusion tensor imaging methods and apparatus are configured to obtain signal attenuations using selected sets of applied magnetic field gradient directions whose averages produce mean apparent diffusion constants (mADCs) over a wide range of b-values, associated with higher order diffusion tensors (HOT). These sets are selected based on analytical descriptions of isotropic HOTs and the associated averaged signal attenuations are combined to produce mADCs, or probability density functions of intravoxel mADC distributions. Estimates of biologically-specific rotation-invariant parameters for quantifying tissue water mobilities or other tissue characteristics can be obtained such as Traces of HOTs associated with diffusion and mean t-kurtosis.Type: GrantFiled: April 6, 2018Date of Patent: December 5, 2023Assignee: The United States of America, as represented by the Secretary, Department of Health and Human ServicesInventors: Peter J. Basser, Alexandru V. Avram
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Publication number: 20230355126Abstract: Multidimensional MRI-based methods permit identification and categorization of brain specimens to identify sub-voxel tissue components that are specific to traumatic axon injury or other lesions. Lower dimensional MR spectral data is acquired and processed to provide multidimensional MR data of higher dimensions. One or more spectral ranges are selected that define signatures for brain injury and evaluation of the multidimensional MR data in these ranges is used to locate voxels associated with brain injury. For example, partial one dimensional data sets such as T1, T2, and mean diffusion coefficient (MD) data sets can be combined to provide two dimensional data sets such as T1-T2, MD-T2, and MD-T1 data sets. Using the spectral signatures, a specimen image can be produced showing areas of lesser or greater injury.Type: ApplicationFiled: July 14, 2021Publication date: November 9, 2023Applicants: The Henry M. Jackson Foundation for the Advancement for the Advancement of Military Medicine, Inc., The United States of America, as represented by the Secretary, Department of Health and Human ServicInventors: Dan Haim Benjamini, Peter J. Basser, Diego Iacono
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Publication number: 20230266418Abstract: Diffusion sensitizing gradient pulse pairs are prescribed in a manner to mitigate effects of concomitant gradient artifacts. Measured MR signals generated by applying a plurality of diffusion sensitizing gradient matrices are obtained and processed to determine a second order mean diffusion tensor and a fourth order covariance tensor. Quantities derived from these tensors are measured and mapped within an imaging volume which describe features of diffusion anisotropy and heterogeneity within each imaging voxel.Type: ApplicationFiled: July 8, 2021Publication date: August 24, 2023Applicants: The United States of America,as represented by the Secretary,Department of Health and Human Services, The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc.Inventors: Magdoom Mohamed Kulam Najmudeen, Peter J. Basser, Michal E. Komlosh
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Publication number: 20230019387Abstract: Multi-dimensional spectra associated with a specimen are reconstructed using lower dimensional spectra as constraints. For example, a two-dimensional spectrum associated with diffusivity and spin-lattice relaxation time is obtained using one-dimensional spectra associated with diffusivity and spin-lattice relaxation time, respectively, as constraints. Data for a full two dimensional spectrum are not acquired, leading to significantly reduced data acquisition times.Type: ApplicationFiled: July 13, 2022Publication date: January 19, 2023Applicant: The United States of America,as represented by the Secretary,Department of Health and Human ServicesInventors: Peter J. Basser, Dan H. Benjamini
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Patent number: 11415652Abstract: Multi-dimensional spectra associated with a specimen are reconstructed using lower dimensional spectra as constraints. For example, a two-dimensional spectrum associated with diffusivity and spin-lattice relaxation time is obtained using one-dimensional spectra associated with diffusivity and spin-lattice relaxation time, respectively, as constraints. Data for a full two dimensional spectrum are not acquired, leading to significantly reduced data acquisition times.Type: GrantFiled: August 11, 2017Date of Patent: August 16, 2022Assignee: The United States of America, as represented by the Secretary, Department of Health and Human ServicesInventors: Peter J. Basser, Dan H. Benjamini
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Publication number: 20210270921Abstract: Magnetic resonance methods comprise tractographically establishing a path along a structure in a specimen and finding a distribution of structure radii or cross-sectional areas along the path. Based on the distribution and the path, end-to-end functional characteristics of the structure are estimated. For example, nerve transit times or distributions of transit times can be estimated for a plurality of nervous system locations such as Brodmann areas. Comparison of estimated transit times or distributions thereof between reference values or other values from the same structure can be used to assess specimen health.Type: ApplicationFiled: May 3, 2021Publication date: September 2, 2021Applicant: The U.S.A, as represented by the Secretary, Department of Health and Human ServicesInventor: Peter J. Basser
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Patent number: 10996303Abstract: Magnetic resonance methods comprise tractographically establishing a path along a structure in a specimen and finding a distribution of structure radii or cross-sectional areas along the path. Based on the distribution and the path, end-to-end functional characteristics of the structure are estimated. For example, nerve transit times or distributions of transit times can be estimated for a plurality of nervous system locations such as Brodmann areas. Comparison of estimated transit times or distributions thereof between reference values or other values from the same structure can be used to assess specimen health.Type: GrantFiled: September 14, 2012Date of Patent: May 4, 2021Assignee: The United States of America, as Represented by the Secretary, Department of Health and Human ServicesInventor: Peter J. Basser
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Patent number: 10871539Abstract: Described herein are exemplary methods for estimating a nonparametric joint radius-length (R-L) distribution of an ensemble of porous elements represented generally by finite cylinders. Some described methods comprise estimating an eccentricity distribution of a group of anisotropic porous elements. For example, disclosed methods can be applied to estimate a nonparametric joint R-L distribution of injured axons in nervous tissue, muscle tissue, plant elements, or other porous materials. Employing a novel three dimensional (3-D) double pulsed-field gradient (d-PFG) magnetic resonance (MR) acquisition scheme, both the marginal radius and length distributions of a population of generally cylindrical porous elements can be obtained. The marginal radius and length distributions can then b e used to constrain and stabilize the estimate of the joint radius-length distribution. Using the marginal distributions as constraints allows the joint R-L distribution to be reconstructed from an underdetermined system (i.e.Type: GrantFiled: November 24, 2015Date of Patent: December 22, 2020Assignee: The United States of America, as represented by the Secretary, Department of Health and Human ServicesInventors: Peter J. Basser, Dan H. Benjamini
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Publication number: 20200379072Abstract: Isotropic generalized diffusion tensor imaging methods and apparatus are configured to obtain signal attenuations using selected sets of applied magnetic field gradient directions whose averages produce mean apparent diffusion constants (mADCs) over a wide range of b-values, associated with higher order diffusion tensors (HOT). These sets are selected based on analytical descriptions of isotropic HOTs and the associated averaged signal attenuations are combined to produce mADCs, or probability density functions of intravoxel mADC distributions. Estimates of biologically-specific rotation-invariant parameters for quantifying tissue water mobilities or other tissue characteristics can be obtained such as Traces of HOTs associated with diffusion and mean t-kurtosis.Type: ApplicationFiled: April 6, 2018Publication date: December 3, 2020Applicant: The United States of America,as represented by the Secretary,Department of Health and Human ServicesInventors: Peter J. Basser, Alexandru V. Avram
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Patent number: 10802098Abstract: An approach is presented to recontruct image data for an object using a partial set of magnetic resonance (MR) measurements. A subset of data points in a data space representing an object are selected (e.g. through random sampling) for MR data acquisition. Partial MR data corresponding to the subset of data points is received and used for image reconstruction. The overall speed of image reconstruction can be reduced dramatically by relying on acquisition of data for the subset of data points rather than for all data points in the data space representing the object. Compressive sensing type arguments are used to fill in missing measurements, using a priori knowledge of the structure of the data. A compressed data matrix can be recovered from measurements that form a tight frame. It can be established that these measurements satisfy the restricted isometry property (RIP). The zeroth-order regularization minimization problem can then be solved, for example, using a 2D ILT approach.Type: GrantFiled: April 3, 2020Date of Patent: October 13, 2020Assignees: The United States of America, as represented by the Secretary, Department of Health and Human Services, University of Maryland, College ParkInventors: Peter J. Basser, Ruiliang Bai, Alexander Cloninger, Wojciech Czaja
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Publication number: 20200233051Abstract: An approach is presented to reconstruct image data for an object using a partial set of magnetic resonance (MR) measurements. A subset of data points in a data space representing an object are selected (e.g. through random sampling) for MR data acquisition. Partial MR data corresponding to the subset of data points is received and used for image reconstruction. The overall speed of image reconstruction can be reduced dramatically by relying on acquisition of data for the subset of data points rather than for all data points in the data space representing the object. Compressive sensing type arguments are used to fill in missing measurements, using a priori knowledge of the structure of the data. A compressed data matrix can be recovered from measurements that form a tight frame. It can be established that these measurements satisfy the restricted isometry property (RIP). The zeroth-order regularization minimization problem can then be solved, for example, using a 2D ILT approach.Type: ApplicationFiled: April 3, 2020Publication date: July 23, 2020Applicants: The United States of America, as represented by the Secretary, Dept. of Health and Human Services, University of Maryland, College ParkInventors: Peter J. Basser, Ruiliang Bai, Alexander Cloninger, Wojciech Czaja
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Patent number: 10613176Abstract: An approach is presented to recontruct image data for an object using a partial set of magnetic resonance (MR) measurements. A subset of data points in a data space representing an object are selected (e.g. through random sampling) for MR data acquisition. Partial MR data corresponding to the subset of data points is received and used for image reconstruction. The overall speed of image reconstruction can be reduced dramatically by relying on acquisition of data for the subset of data points rather than for all data points in the data space representing the object. Compressive sensing type arguments are used to fill in missing measurements, using a priori knowledge of the structure of the data. A compressed data matrix can be recovered from measurements that form a tight frame. It can be established that these measurements satisfy the restricted isometry property (RIP). The zeroth-order regularization minimization problem can then be solved, for example, using a 2D ILT approach.Type: GrantFiled: April 17, 2015Date of Patent: April 7, 2020Assignees: The United States of America, as represented by the Secretary, Department of Health and Human Services, University of Maryland, College ParkInventors: Peter J. Basser, Ruiliang Bai, Alexander Cloninger, Wojciech Czaja
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Publication number: 20190178964Abstract: Multi-dimensional spectra associated with a specimen are reconstructed using lower dimensional spectra as constraints. For example, a two-dimensional spectrum associated with diffusivity and spin-lattice relaxation time is obtained using one-dimensional spectra associated with diffusivity and spin-lattice relaxation time, respectively, as constraints. Data for a full two dimensional spectrum are not acquired, leading to significantly reduced data acquisition times.Type: ApplicationFiled: August 11, 2017Publication date: June 13, 2019Applicant: The United States of America, as represented by the Secretary, Department of Health and Human ServInventors: Peter J. Basser, Dan H. Benjamini
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Publication number: 20180335496Abstract: Described herein are exemplary methods for estimating a nonparametric joint radius-length (R-L) distribution of an ensemble of porous elements represented generally by finite cylinders. Some described methods comprise estimating an eccentricity distribution of a group of anisotropic porous elements. For example, disclosed methods can be applied to estimate a nonparametric joint R-L distribution of injured axons in nervous tissue, muscle tissue, plant elements, or other porous materials. Employing a novel three dimensional (3-D) double pulsed-field gradient (d-PFG) magnetic resonance (MR) acquisition scheme, both the marginal radius and length distributions of a population of generally cylindrical porous elements can be obtained. The marginal radius and length distributions can then b e used to constrain and stabilize the estimate of the joint radius-length distribution. Using the marginal distributions as constraints allows the joint R-L distribution to be reconstructed from an underdetermined system (i.e.Type: ApplicationFiled: November 24, 2015Publication date: November 22, 2018Applicant: The United States of America, as represented by the Secretary, Dept. of Health and Human ServicesInventors: Peter J. Basser, Dan H. Benjamini
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Patent number: 10078124Abstract: A phantom calibration body (12) for calibrating diffusion MRI device (16) that mimics a material such as a mammalian tissue is disclosed. The phantom calibration body (12) includes a homogeneous aqueous solution (30) that contains a mixture of low molecular-weight and high molecular-weight polymers housed in a container (14) that is placed in the diffusion MRI device (16) for obtaining one or more diffusion MRI images of the phantom calibration body (12). A measure of diffusivity is calculated for each of the one or more diffusion MRI images in order to calibrate the diffusion MRI device. Methods of using the phantom calibration body (12) to calibrate diffusion MRI device (16) are also disclosed.Type: GrantFiled: March 3, 2017Date of Patent: September 18, 2018Assignee: The United States of America, as represented by the Secretary, Department of Health and Human ServicesInventors: Ferenc Horkay, Carlo Pierpaoli, Peter J. Basser
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Publication number: 20170242090Abstract: A phantom calibration body (12) for calibrating diffusion MRI device (16) that mimics a material such as a mammalian tissue is disclosed. The phantom calibration body (12) includes a homogeneous aqueous solution (30) that contains a mixture of low molecular-weight and high molecular-weight polymers housed in a container (14) that is placed in the diffusion MRI device (16) for obtaining one or more diffusion MRI images of the phantom calibration body (12). A measure of diffusivity is calculated for each of the one or more diffusion MRI images in order to calibrate the diffusion MRI device. Methods of using the phantom calibration body (12) to calibrate diffusion MRI device (16) are also disclosed.Type: ApplicationFiled: March 3, 2017Publication date: August 24, 2017Inventors: Ferenc Horkay, Carlo Pierpaoli, Peter J. Basser
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Publication number: 20170089995Abstract: An approach is presented to recontruct image data for an object using a partial set of magnetic resonance (MR) measurements. A subset of data points in a data space representing an object are selected (e.g. through random sampling) for MR data acquisition. Partial MR data corresponding to the subset of data points is received and used for image reconstruction. The overall speed of image reconstruction can be reduced dramatically by relying on acquisition of data for the subset of data points rather than for all data points in the data space representing the object. Compressive sensing type arguments are used to fill in missing measurements, using a priori knowledge of the structure of the data. A compressed data matrix can be recovered from measurements that form a tight frame. It can be established that these measurements satisfy the restricted isometry property (RIP). The zeroth-order regularization minimization problem can then be solved, for example, using a 2D ILT approach.Type: ApplicationFiled: April 17, 2015Publication date: March 30, 2017Applicants: The United States of America, as represented by the Secretary, Department of Health and Human Serv, University of Maryland, College ParkInventors: Peter J. Basser, Ruiliang Bai, Alexander Cloninger, Wojciech Czaja
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Patent number: 9603546Abstract: A phantom calibration body (12) for calibrating diffusion MRI device (16) that mimics a material such as a mammalian tissue is disclosed. The phantom calibration body (12) includes a homogeneous aqueous solution (30) that contains a mixture of low molecular-weight and high molecular-weight polymers housed in a container (14) that is placed in the diffusion MRI device (16) for obtaining one or more diffusion MRI images of the phantom calibration body (12). A measure of diffusivity is calculated for each of the one or more diffusion MRI images in order to calibrate the diffusion MRI device. Methods of using the phantom calibration body (12) to calibrate diffusion MRI device (16) are also disclosed.Type: GrantFiled: January 26, 2010Date of Patent: March 28, 2017Assignee: The United States of America, as Represented by the Secretary, Department of Health and Human ServicesInventors: Ferenc Horkay, Carlo Pierpaoli, Peter J. Basser
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Publication number: 20170014637Abstract: Treatment apparatus includes a plurality of coils configured to generate time-varying magnetic fields that induce electric fields within a subject. In one example, electric field strengths of at least 1 V/cm are produced in brain tissues exhibiting Glioblastoma Multiforme (GBM). Fields are applied based on computer-assisted modeling using electromagnetic characteristics of the brain, and tissue locations identified as exhibiting disease using imaging data. A head mounted assembly of coils can be used for convenient, portable treatment.Type: ApplicationFiled: March 17, 2015Publication date: January 19, 2017Applicant: The United States of America, as represented by the Secretary, Department of Health and Human ServInventor: Peter J. Basser