公开(公告)号：US10810739B2

公开(公告)日：2020-10-20

申请号：US16070407

申请日：2017-01-20

Applicant: University of Florida Research Foundation, Inc.

Inventor： Erik Hayden Middlebrooks ,  Mohit Rana ,  Alissa M. Old Crow ,  Jake Rieke ,  Ranganatha Sitaram

IPC: A61B5/05 ,  G06K9/00 ,  G06T7/00 ,  A61B5/055 ,  A61B5/00 ,  G01R33/56 ,  G06F19/00 ,  G06T7/269 ,  G06T7/246 ,  G16H30/40 ,  G01R33/54 ,  G16H40/20 ,  G16H40/63

Abstract: Example embodiments provide real time quality monitoring of a magnetic resonance imaging (MRI) scan. Data associated with an MRI scan of a particular patient is received. The data is sequential MRI data associated with various times. A rate of change of the sequential data is determined with reference to the various times. It is determined whether the rate of change of the sequential data meets a first configurable threshold. It is determined whether the rate of change of the sequential data meets a second configurable threshold. The sequential data is classified based on whether the rate of change of the sequential data meets the first and second configurable thresholds.

公开(公告)号：US20190066297A1

公开(公告)日：2019-02-28

申请号：US16070407

申请日：2017-01-20

Applicant: University of Florida Research Foundation, Inc.

Inventor： Erik Hayden Middlebrooks ,  Mohit Rana ,  Alissa M. Old Crow ,  Jake Rieke ,  Ranganatha Sitaram

IPC: G06T7/00 ,  G06T7/246 ,  G06T7/269 ,  A61B5/00 ,  A61B5/055 ,  G16H30/40 ,  G01R33/56 ,  G01R33/54

CPC classification number: G06T7/0016 ,  A61B5/0013 ,  A61B5/055 ,  A61B5/7207 ,  A61B5/7239 ,  A61B5/7264 ,  A61B2576/00 ,  G01R33/546 ,  G01R33/5608 ,  G06F19/34 ,  G06T7/248 ,  G06T7/269 ,  G06T2207/10088 ,  G06T2207/30004 ,  G06T2207/30168 ,  G16H30/40 ,  G16H40/20 ,  G16H40/63

Abstract: Example embodiments provide real time quality monitoring of a magnetic resonance imaging (MRI) scan. Data associated with an MRI scan of a particular patient is received. The data is sequential MRI data associated with various times. A rate of change of the sequential data is determined with reference to the various times. It is determined whether the rate of change of the sequential data meets a first configurable threshold. It is determined whether the rate of change of the sequential data meets a second configurable threshold. The sequential data is classified based on whether the rate of change of the sequential data meets the first and second configurable thresholds.