@inproceedings{17ca779d983547198ed204dc66cab7ae,
title = "Fast image acquisition in magnetic resonance imaging by chaotic compressed sensing",
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 signals can be recovered from a small number of linear random measurements. CS, using random measurements, has also been successfully applied to MRI for fast acquisition. In a recent work, we have preliminarily employed deterministic chaos in CS that potentially offers a more practical and efficient CS framework. This paper adapts chaotic CS to MRI acquisition. In particular, we use chaotic logistic 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.",
keywords = "Compressed sensing, deterministic chaos, fast acquisition, MRI",
author = "Phong, {Dinh Van} and Nguyen Linh-Trung and Tan, {Tran Duc} and Le, {Ha Vu} and Do, {Minh N.}",
year = "2011",
doi = "10.1109/ISBI.2011.5872360",
language = "English (US)",
isbn = "9781424441280",
series = "Proceedings - International Symposium on Biomedical Imaging",
pages = "85--88",
booktitle = "2011 8th IEEE International Symposium on Biomedical Imaging",
note = "2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 ; Conference date: 30-03-2011 Through 02-04-2011",
}