Szczegóły

Tytuł artykułu

Semi-PROPELLER Compressed Sensing Image Reconstruction with Enhanced Resolution in MRI

Tytuł czasopisma

International Journal of Electronics and Telecommunications

Rocznik

2015

Numer

No 2

Autorzy publikacji

Wydział PAN

Nauki Techniczne

Wydawca

Polish Academy of Sciences Committee of Electronics and Telecommunications

Data

2015[2015.01.01 AD - 2015.12.31 AD]

Identyfikator

ISSN 2081-8491 (until 2012) ; eISSN 2300-1933 (since 2013)

Referencje

Pipe (2013), Revised motion estimation algorithm for PROPELLER MRI, Magn Reson Med. ; Malczewski (2012), Breaking the Resolution Limit in Medical Image Modalities Proceedings of The International Conference on Image Processing Computer Vision and Pattern Recognition World, USA. ; Wainwright (2006), Sharp thresholds for high - dimensional and noisy recovery of sparsity Proceedings of th Allerton Conference on Communications Control and Computing Monticello, IL. ; Candes (2006), Robust uncertainty principles : Exact signal reconstruction from highly incomplete frequency information Inform Theory vol no pp, IEEE Trans, 52. ; Sebert (2008), Toeplitz block matrices in compressed sensing and their applications in imaging Proceedings of the International Conference on Information Technology and Applications in pp Shenzhen China, Biomedicine, 47. ; Lustig (2008), Compressed Sensing MRI Processing Magazine, Signal IEEE, doi.org/10.1109/MSP.2007.914728 ; Donoho (2006), Compressed Sensing Theory vol no pp, IEEE Trans, 52. ; Gribonval (2003), Sparse representation in unions of bases Theory vol no pp, IEEE Trans, 49, 3320. ; Baraniuk (2007), A simple proof of the restricted isometry principle for random matrices, Constructive Approximation. ; Malczewski (2008), StasinskiHigh resolution MRI image reconstruction from a PROPELLER data set of samples of Functional Informatics and Personalised Medicine Volume Number, International Journal.

DOI

10.1515/eletel-2015-0028

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