Minh-Chinh Truong, Tran-Duc Tan, Linh-Trung Nguyen, Luong Marie, Do Minh N
Fac. Electronics and Telecommunications, University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam.
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:380-3. doi: 10.1109/EMBC.2012.6345948.
Sweep imaging Fourier transform (SWIFT) is an efficient (fast and quiet) specialized magnetic resonance imaging (MRI) method for imaging tissues or organs that give only short-lived signals due to fast spin-spin relaxation rates. Based on the idea of compressed sensing, this paper proposes a novel method for further enhancing SWIFT using chaotic compressed sensing (CCS-SWIFT). With reduced number of measurements, CCS-SWIFT effectively faster than SWIFT. In comparison with a recently proposed chaotic compressed sensing method for standard MRI (CCS-MRI), simulation results showed that CCS-SWIFT outperforms CCS-MRI in terms of the normalized relative error in the image reconstruction and the probability of exact reconstruction.
