US 12,270,881 B2
Denoising of dynamic resonance spectroscopic imaging using low rank approximations in the kinetic domain
Jeffrey R. Brender, Washington, DC (US); James B. Mitchell, Damascus, MD (US); Kazutoshi Yamamoto, North Bethesda, MD (US); Shun Kishimoto, Rockville, MD (US); Jeeva P. Munasinghe, Rockville, MD (US); Hellmut Merkle, Bethesda, MD (US); and Murali K. Cherukuri, Potomac, MD (US)
Assigned to The United States of America, as represented by the Secretary, Department of Health and Human, Services Bethesda (MD)
Filed by The United States of America, as Represented by the Secretary, Department of Health and Human Services, Bethesda, MD (US)
Filed on Jan. 14, 2022, as Appl. No. 17/576,283.
Application 17/576,283 is a continuation of application No. 16/485,772, abandoned, previously published as PCT/US2018/018217, filed on Feb. 14, 2018.
Claims priority of provisional application 62/459,008, filed on Feb. 14, 2017.
Prior Publication US 2022/0214415 A1, Jul. 7, 2022
Int. Cl. G01R 33/56 (2006.01); G01R 33/485 (2006.01); G06T 5/00 (2024.01); G06T 5/70 (2024.01)
CPC G01R 33/5608 (2013.01) [G01R 33/485 (2013.01); G06T 5/70 (2024.01); G06T 2207/10088 (2013.01)] 10 Claims
OG exemplary drawing
 
1. A magnetic resonance imaging apparatus, comprising:
a magnet situated to establish an axial magnetic field in a specimen;
a plurality of coils situated to apply electromagnetic pulse sequences to the specimen;
a receiver situated to detect electromagnetic signals from the specimen in response to the applied electromagnetic pulse sequences; and
a controller coupled to the plurality of coils so as to selectively apply the electromagnetic pulse sequences and to the receiver to store signal values associated with the detected signals for a plurality of specimen voxels, the controller being configured to:
acquire a magnetic resonance imaging signal associated with a plurality of chemical shifts for a plurality of voxels at a plurality of times;
arrange the magnetic resonance imaging signal as a data tensor;
wherein that the controller is further configured obtain a Tucker decomposition of the data tensor; and
simultaneously spatially and temporally rank reducing the Tucker decomposition to simultaneously produce spatially and temporally denoised voxel data for each of the plurality of voxels.