Invention Grant
- Patent Title: Method for increasing signal-to-noise ratio in magnetic resonance imaging using per-voxel noise covariance regularization
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Application No.: US14774551Application Date: 2014-03-12
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Publication No.: US10429475B2Publication Date: 2019-10-01
- Inventor: Jonathan R. Polimeni , Kawin Setsompop , Lawrence L. Wald
- Applicant: Jonathan R. Polimeni , Kawin Setsompop , Lawrence L. Wald
- Applicant Address: US MA Boston
- Assignee: The General Hospital Corporation
- Current Assignee: The General Hospital Corporation
- Current Assignee Address: US MA Boston
- Agency: Quarles & Brady LLP
- International Application: PCT/US2014/024247 WO 20140312
- International Announcement: WO2014/165050 WO 20141009
- Main IPC: G01R33/56
- IPC: G01R33/56 ; G01R33/385 ; G01V3/14 ; G01R33/561

Abstract:
A method for maximizing the signal-to-noise ratio (“SNR”) in a combined image produced using a parallel magnetic resonance imaging (“MRI”) technique is provided. The image combination used in such techniques require an accurate estimate of the noise covariance. Typically, the thermal noise covariance matrix is used as this estimate; however, in several applications, including accelerated parallel imaging and functional MRI, the noise covariance across the coil channels differs substantially from the thermal noise covariance. By combining the individual channels with more accurate estimates of the channel noise covariance, SNR in the combined data is significantly increased. This improved combination employs a regularization of noise covariance on a per-voxel basis.
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