Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/72192
Title: Weighted-CS for reconstruction of highly under-sampled dynamic MRI sequences
Authors: Zonoobi, D.
Kassim, A.A. 
Issue Date: 2012
Source: Zonoobi, D.,Kassim, A.A. (2012). Weighted-CS for reconstruction of highly under-sampled dynamic MRI sequences. 2012 Conference Handbook - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2012 : -. ScholarBank@NUS Repository.
Abstract: This paper investigates the potential of the new Weighted-Compressive Sensing approach which overcomes the major limitations of other compressive sensing and outperforms current state-of-the-art methods for low-rate reconstruction of sequences of MRI images. The underlying idea of this approach is to use the image of the previous time instance to extract an estimated probability model for the image of interest, and then use this model to guide the reconstruction process. This is motivated by the observation that MRI images are hugely sparse in Wavelet domain and the sparsity changes slowly over time. © 2012 APSIPA.
Source Title: 2012 Conference Handbook - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2012
URI: http://scholarbank.nus.edu.sg/handle/10635/72192
ISBN: 9780615700502
Appears in Collections:Staff Publications

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