%A Van Phong Dinh
%A Linh Trung Nguyen
%A Duc Tan Tran
%A Vu Ha Le
%A Ngoc Minh Do
%T Fast image acquisition in magnetic resonance imaging by chaotic compressed sensing
%X 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.
%D 2011
%P 85-88
%L SisLab1733