TY  - CONF
ID  - SisLab1733
UR  - https://eprints.uet.vnu.edu.vn/eprints/id/eprint/1733/
A1  - Dinh, Van Phong
A1  - Nguyen, Linh Trung
A1  - Tran, Duc Tan
A1  - Le, Vu Ha
A1  - Do, Ngoc Minh
Y1  - 2011/02/01/
N2  - We consider the problem of fast acquisition in magnetic resonance imaging (MRI). A recent breakthrough concept called compressed sensing (CS) shows that sparse or, more generally, compressible sig- nals can be recovered from a small number of linear random mea- surements. CS, using random measurements, has also been success- fully applied to MRI for fast acquisition. In a recent work, we have preliminarily employed deterministic chaos in CS that potentially of- fers a more practical and efficient CS framework. This paper adapts chaotic CS to MRI acquisition. In particular, we use chaotic logis- tic map for CS and adapt it to acquire the 2-dimensional MRI. In addition, we numerically analyze the performance of the proposed chaotic CS for MRI and show that it performs better random CS.
TI  - Fast image acquisition in magnetic resonance imaging by chaotic compressed sensing
SP  - 85
AV  - public
EP  - 88
T2  - 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro
ER  -