Invention Grant
- Patent Title: Systems and methods for automated detection in magnetic resonance images
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Application No.: US16116389Application Date: 2018-08-29
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Publication No.: US10534058B2Publication Date: 2020-01-14
- 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 ; A61B5/00 ; A61B5/055 ; G01R33/44 ; G01R33/483 ; G06K9/62 ; G06T7/00 ; G01R33/48 ; G01R33/38 ; G01R33/383 ; G06N3/04

Abstract:
Some aspects include a method of determining change in size of an abnormality in a brain of a patient positioned within a low-field magnetic resonance imaging (MRI) device. The method comprises, while the patient remains positioned within the low-field MRI device, acquiring first and second magnetic resonance (MR) image data of the patient's brain; providing the first and second MR image data as input to a trained statistical classifier to obtain corresponding first and second output; identifying, using the first output, at least one initial value of at least one feature indicative of a size of the abnormality; identifying, using the second output, at least one updated value of the at least one feature; determining the change in the size of the abnormality using the at least one initial value of the at least one feature and the at least one updated value of the at least one feature.
Public/Granted literature
- US20190033414A1 SYSTEMS AND METHODS FOR AUTOMATED DETECTION IN MAGNETIC RESONANCE IMAGES Public/Granted day:2019-01-31
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