公开(公告)号：US12130348B2

公开(公告)日：2024-10-29

申请号：US17793633

申请日：2021-01-15

Applicant: Mayo Foundation for Medical Education and Research

Inventor： Arvin Forghanian-Arani ,  Joshua D. Trzasko ,  Yi Sui ,  Philip A. Araoz ,  Richard L. Ehman ,  John Huston, III

IPC: G01R33/563 ,  A61B5/00 ,  A61B5/055 ,  G01R33/48 ,  G06T11/00

CPC classification number: G01R33/56375 ,  A61B5/0051 ,  A61B5/055 ,  G01R33/4818 ,  G01R33/56358 ,  G06T11/003 ,  A61B5/0044 ,  G06T2210/41

Abstract: Described here are systems and methods for a robust magnetic resonance elastography (“MRE”) imaging platform for rapid dynamic 3D MRE imaging. The imaging platform includes an MRE pulse sequence and advanced image reconstruction framework that work synergistically in order to greatly expand the domains where MRE can be deployed successfully.

公开(公告)号：US11307280B2

公开(公告)日：2022-04-19

申请号：US17059931

申请日：2019-06-03

Applicant: Mayo Foundation For Medical Education and Research

Inventor： Joshua D. Trzasko ,  Philip A. Araoz ,  Matthew A. Bernstein ,  Richard L. Ehman ,  Arvin Forghanian-Arani ,  John Huston, III ,  Yunhong Shu

IPC: G01R33/565 ,  G01R33/563

Abstract: Described here are systems and methods for correcting motion-encoding gradient nonlinearities in magnetic resonance elastography (“MRE”). In general, the systems and methods described in the present disclosure compute gradient nonlinearity corrected displacement data based on information about the motion-encoding gradients used when acquiring magnetic resonance data.

公开(公告)号：US11543481B2

公开(公告)日：2023-01-03

申请号：US16764838

申请日：2018-11-19

Applicant: Mayo Foundation for Medical Education and Research

Inventor： Matthew C. Murphy ,  Richard L. Ehman ,  Kevin J. Glaser ,  Joshua D. Trzasko ,  Armando Manduca ,  John Huston, III ,  Jonathan M. Scott ,  Arvin Forghanian-Arani

IPC: G01R33/563 ,  A61B5/055 ,  A61B5/00 ,  G01R33/30 ,  G01R33/56 ,  G06N3/04 ,  G06N3/08

Abstract: Magnetic resonance elastography (“MRE”), or other imaging-based elastography techniques, generate estimates of the mechanical properties, such as stiffness and damping ratio, of tissues in a subject. A machine learning approach, such as an artificial neural network, is implemented to perform an inversion of displacement data in order to generate the estimates of the mechanical properties.

公开(公告)号：US20200341098A1

公开(公告)日：2020-10-29

申请号：US16764838

申请日：2018-11-19

Applicant: Mayo Foundation for Medical Education and Research

Inventor： Matthew C. Murphy ,  Richard L. Ehman ,  Kevin J. Glaser ,  Joshua D. Trzasko ,  Armando Manduca ,  John Huston, III ,  Jonathan M. Scott ,  Arvin Forghanian-Arani

IPC: G01R33/563 ,  G01R33/56 ,  G01R33/30 ,  A61B5/055 ,  A61B5/00 ,  G06N3/08 ,  G06N3/04

Abstract: Described here are systems and methods for magnetic resonance elastography (“MRE”), or other imaging-based elastography techniques, in which a machine learning approach, such as an artificial neural network, is implemented to perform an inversion of displacement data in order to generate estimates of the mechanical properties, such as stiffness and damping ratio, of tissues in a subject.

公开(公告)号：US20250035728A1

公开(公告)日：2025-01-30

申请号：US18915057

申请日：2024-10-14

Applicant: Mayo Foundation for Medical Education and Research

Inventor： Arvin Forghanian-Arani ,  Joshua D. Trzasko ,  Yi Sui ,  Philip A. Araoz ,  Richard L. Ehman ,  John Huston, III

IPC: G01R33/563 ,  A61B5/00 ,  A61B5/055 ,  G01R33/48 ,  G06T11/00

Abstract: Described here are systems and methods for a robust magnetic resonance elastography (“MRE”) imaging platform for rapid dynamic 3D MRE imaging. The imaging platform includes an MRE pulse sequence and advanced image reconstruction framework that work synergistically in order to greatly expand the domains where MRE can be deployed successfully.

公开(公告)号：US20230061571A1

公开(公告)日：2023-03-02

申请号：US17793633

申请日：2021-01-15

Applicant: Mayo Foundation for Medical Education and Research

Inventor： Arvin Forghanian-Arani ,  Joshua D. Trzasko ,  Yi Sui ,  Philip A. Araoz ,  Richard L. Ehman ,  John Huston, III

IPC: G01R33/563 ,  G01R33/48 ,  A61B5/00 ,  A61B5/055 ,  G06T11/00

Abstract: Described here are systems and methods for a robust magnetic resonance elastography (“MRE”) imaging platform for rapid dynamic 3D MRE imaging. The imaging platform includes an MRE pulse sequence and advanced image reconstruction framework that work synergistically in order to greatly expand the domains where MRE can be deployed successfully.

公开(公告)号：US20210165065A1

公开(公告)日：2021-06-03

申请号：US17059931

申请日：2019-06-03

Applicant: Mayo Foundation For Medical Education and Research

Inventor： Joshua D. Trzasko ,  Philip A. Araoz ,  Matthew A. Bernstein ,  Richard L. Ehman ,  Arvin Forghanian-Arani ,  John Huston, III ,  Yunhong Shu

IPC: G01R33/565 ,  G01R33/563

Abstract: Described here are systems and methods for correcting motion-encoding gradient nonlinearities in magnetic resonance elastography (“MRE”). In general, the systems and methods RF described in the present disclosure compute gradient nonlinearity corrected displacement data based on information about the motion-encoding gradients used when acquiring magnetic resonance data.