DocumentCode :
3587707
Title :
Fast magnetic resonance parametric imaging via structured low-rank matrix reconstruction
Author :
Eliasi, Parisa Amiri ; Li Feng ; Otazo, Ricardo ; Rangan, Sundeep
Author_Institution :
Dept. of Electr. & Comput. Eng., NYU WIRELESS, New York, NY, USA
fYear :
2014
Firstpage :
423
Lastpage :
428
Abstract :
Magnetic Resonance Parametric Imaging is a recently-proposed method that permits quantitative determination of MR parameters such as the T1 and T2 relaxation times. In contrast to conventional MRI, one or more encoding parameters in the RF excitation are randomly varied over the scan and tissue parameters are inferred from the temporal response to the excitation. This work presents a novel low-rank model-based parametric matrix estimation method for joint reconstruction and parameter estimation suitable for highly accelerated (i.e. highly undersampled) scans. The method is demonstrated on T2 cardiac breath-hold imaging with varying spin echo times.
Keywords :
biological tissues; biomedical MRI; cardiology; image reconstruction; matrix algebra; parameter estimation; spin echo (EPR); MR parameters; MRI; RF excitation; cardiac breath-hold imaging; encoding parameters; fast magnetic resonance parametric imaging; low-rank model-based parametric matrix estimation method; parameter estimation; structured low-rank matrix reconstruction; temporal response; tissue parameters; varying spin echo times; Acceleration; Encoding; Image reconstruction; Magnetic resonance imaging; Minimization; Optimization; MRI; T1 mapping; T2 mapping; compressed sensing; image reconstruction; low-rank decomposition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2014 48th Asilomar Conference on
Print_ISBN :
978-1-4799-8295-0
Type :
conf
DOI :
10.1109/ACSSC.2014.7094477
Filename :
7094477
Link To Document :
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