Improved compressed sensing MRI with multi-channel data using reweighted l(1) minimization. Academic Article

abstract

• Compressed sensing (CS) is an emerging technology to speed up magnetic resonance imaging (MRI). Since most clinical MRI scanners are equipped with multi-channel receiver systems, there has been a number of works to integrate CS with multi-channel systems. In this paper, we propose a method that extends the reweighted l(1) minimization to the CS MRI with multi-channel data. The simulated experimental results show that the new method can provide improved reconstruction quality.

authors

• Ji, Jim

published proceedings

• Annu Int Conf IEEE Eng Med Biol Soc

author list (cited authors)

• Chang, C., & Ji, J.

citation count

• 9

complete list of authors

• Chang, Ching-Hua||Ji, Jim

publication date

• December 2010

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• n2375-7477ISSN  Journal

keywords

• Algorithms
• Data Compression
• Image Enhancement
• Image Interpretation, Computer-Assisted
• Magnetic Resonance Imaging
• Reproducibility Of Results
• Sensitivity And Specificity

Digital Object Identifier (DOI)

• 10.1109/IEMBS.2010.5627890

start page

• 875

end page

• 878

volume

• 2010