TY  - CONF
ID  - SisLab2169
UR  - https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2169/
A1  - Minh-Chinh, Truong
A1  - nguyen linh, trung
A1  - Tran Duc, Tan
Y1  - 2016/10/12/
N2  - We consider the application of Compressed Sensing (CS) to enhance the acquisition speed in Magnetic Resonance Imaging (MRI). For CS-based MRI, random sampling is often implemented in the k-space and depends on the uniform distribution and energy distribution of MRI images in the k-space. In contrast, we propose a new deterministic sampling method for CS-based MRI using the logistic map, which has good statistical properties and can be easily converted to uniform-like chaotic sequences. Simulation results confirmed that the proposed method is equivalent to state-of-the-art methods in terms of the relative root-mean-square error and the probability of exact reconstruction.
KW  - Chaotic communication;Compressed sensing;Image coding;Image reconstruction;Logistics;Magnetic resonance imaging;Chaotic systems;Compressed sensing;Fast image acquisition;Magnetic resonance imaging (MRI)
TI  - On the implementation of chaotic compressed sensing for MRI
SP  - 103
AV  - public
EP  - 107
T2  - 2016 International Conference on Advanced Technologies for Communications (ATC)
ER  -