Invention Grant
- Patent Title: Systems and methods for automated detection in magnetic resonance images
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Application No.: US16116301Application Date: 2018-08-29
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Publication No.: US10585156B2Publication Date: 2020-03-10
- Inventor: Michal Sofka , Jonathan M. Rothberg , Gregory L. Charvat , Tyler S. Ralston
- Applicant: Hyperfine Research, Inc.
- Applicant Address: US CT Guilford
- Assignee: Hyperfine Research, Inc.
- Current Assignee: Hyperfine Research, Inc.
- Current Assignee Address: US CT Guilford
- Agency: Wolf, Greenfield & Sacks, P.C.
- Main IPC: G01R33/56
- IPC: G01R33/56 ; G06K9/62 ; A61B5/055 ; A61B5/00 ; G01R33/38 ; G01R33/44 ; G01R33/48 ; G01R33/483 ; G06T7/00 ; G06N3/04 ; G01R33/383

Abstract:
Some aspects include a method of detecting change in degree of midline shift in a brain of a patient. The method comprises, while the patient remains positioned within the low-field magnetic resonance imaging device, acquiring first magnetic resonance (MR) image data and second MR image data of the patient's brain; providing the first and second MR data as input to a trained statistical classifier to obtain corresponding first and second output, identifying, from the first output, at least one initial location of at least one landmark associated with at least one midline structure of the patient's brain; identifying, from the second output, at least one updated location of the at least one landmark; and determining a degree of change in the midline shift using the at least one initial location of the at least one landmark and the at least one updated location of the at least one landmark.
Public/Granted literature
- US20190011521A1 SYSTEMS AND METHODS FOR AUTOMATED DETECTION IN MAGNETIC RESONANCE IMAGES Public/Granted day:2019-01-10
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