Invention Grant
- Patent Title: Bayesian model for highly accelerated phase-contrast MRI
-
Application No.: US15160083Application Date: 2016-05-20
-
Publication No.: US10534059B2Publication Date: 2020-01-14
- Inventor: Adam Rich , Lee C. Potter , Ning Jin , Joshua Ash , Orlando P. Simonetti , Rizwan Ahmad
- Applicant: Ohio State Innovation Foundation , Siemens Healthcare GmbH
- Applicant Address: US OH Columbus US PA Malver
- Assignee: OHIO STATE INNOVATION FOUNDATION,SIEMENS MEDICAL SOLUTIONS USA, INC.
- Current Assignee: OHIO STATE INNOVATION FOUNDATION,SIEMENS MEDICAL SOLUTIONS USA, INC.
- Current Assignee Address: US OH Columbus US PA Malver
- Agency: Meunier Carlin & Curfman LLC
- Main IPC: G01R33/563
- IPC: G01R33/563 ; G06F17/50 ; G06T7/00 ; G06T11/00 ; G01R33/56 ; G01R33/561

Abstract:
Methods and systems for accelerated Phase-contrast magnetic resonance imaging (PC-MRI). The technique is based on Bayesian inference and provides for fast computation via an approximate message passing algorithm. The Bayesian formulation allows modeling and exploitation of the statistical relationships across space, time, and encodings in order to achieve reproducible estimation of flow from highly undersampled data.
Public/Granted literature
- US20160341810A1 BAYESIAN MODEL FOR HIGHLY ACCELERATED PHASE-CONTRAST MRI Public/Granted day:2016-11-24
Information query