@inproceedings{000cecd261cc4e8abcf0a24e39a9a5fd,
title = "Sparsesense: Application of compressed sensing in parallel MRI",
abstract = "Compressed sensing (CS) has recently drawn great attentions in the MRI research community. The most desirable property of CS in MRI application is that it allows sampling of k-space well below Nyquist sampling rate, while still being able to reconstruct the image if certain conditions are satisfied. Recent work has successfully applied CS to reduce scanning time in conventional Fourier imaging. In this paper, the application of CS to parallel imaging, a fast imaging technique, is investigated to achieve an even higher imaging speed. The sampling scheme for incoherence is discussed and reconstruction method using Begman iteration is proposed. Our experiments show that the combined method, named SparseSENSE, can achieve a reduction factor higher than the number of channels.",
keywords = "Bregman iteration, Compressed sensing, SENSE",
author = "Bo Liu and Zou, \{Yi Ming\} and Leslie Ying",
year = "2008",
doi = "10.1109/ITAB.2008.4570588",
language = "English",
isbn = "9781424422555",
series = "5th Int. Conference on Information Technology and Applications in Biomedicine, ITAB 2008 in conjunction with 2nd Int. Symposium and Summer School on Biomedical and Health Engineering, IS3BHE 2008",
pages = "127--130",
booktitle = "5th Int. Conference on Information Technology and Applications in Biomedicine, ITAB 2008 in conjunction with 2nd Int. Symposium and Summer School on Biomedical and Health Engineering, IS3BHE 2008",
note = "5th International Conference on Information Technology and Applications in Biomedicine, ITAB 2008 in conjunction with 2nd International Symposium and Summer School on Biomedical and Health Engineering, IS3BHE 2008 ; Conference date: 30-05-2008 Through 31-05-2008",
}