US 11,789,105 B2
Systems and methods of constrained reconstruction of images with white noise
Ewart Mark Haacke, Detroit, MI (US); and Paul David Kokeny, Madison Heights, MI (US)
Assigned to SPINTECH, INC., Bingham Farms, MI (US)
Filed by SPINTECH, INC., Bingham Farms, MI (US)
Filed on Jul. 19, 2022, as Appl. No. 17/868,575.
Application 17/868,575 is a continuation of application No. 17/459,482, filed on Aug. 27, 2021, granted, now 11,435,424.
Prior Publication US 2023/0083696 A1, Mar. 16, 2023
Int. Cl. G01V 3/00 (2006.01); G01R 33/56 (2006.01); G01R 33/565 (2006.01); G01R 33/561 (2006.01)
CPC G01R 33/5608 (2013.01) [G01R 33/561 (2013.01); G01R 33/565 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A magnetic resonance imaging (MRI) system, comprising:
at least one processor;
a memory, with computer code instructions stored thereon, the computer code instructions, when executed by the at least one processor, cause the at least one processor to:
apply a constraint function which comprises a function of a first variable corresponding to a first set of values extracted from an acquired magnetic resonance (MR) dataset, and a second variable corresponding to a second set of values extracted from the acquired MR dataset, the first variable having a first signal-to-noise ratio (SNR);
minimize a cost function according to the constraint function to generate a cost function solution;
input the first variable and the second variable into the cost function solution;
generate, responsive to inputting the first variable and the second variable into the cost function solution, a modified first variable having a modified SNR that is greater than the first SNR; and
generate an image according to the modified first variable.