@inproceedings{SisLab1733,
       booktitle = {2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro},
           month = {February},
           title = {Fast image acquisition in magnetic resonance imaging by chaotic compressed sensing},
          author = {Van Phong Dinh and Linh Trung Nguyen and Duc Tan Tran and Vu Ha Le and Ngoc Minh Do},
            year = {2011},
           pages = {85--88},
             url = {https://eprints.uet.vnu.edu.vn/eprints/id/eprint/1733/},
        abstract = {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.}
}