Channel reduction in massive array parallel MRI Conference Paper

abstract

• This paper presents a method to explore the flexibility of channel reduction in k-domain parallel imaging with massive arrays to improve the computation efficiency. MCMLI and GRAPPA are k-domain reconstruction methods that use a neighborhood of PE columns, FE line(s) and all channels in the interpolation kernels. For massive array which contains a large number of element coils computation cost can be a significant problem. In this paper, channel selection and reduction is performed according to the correlation between channel images for individual channel reconstructions. Simulation results show that the proposed channel reduction algorithm can achieve similar or improved reconstruction quality with significantly reduced computation for massive arrays with localized sensitivity. 2009 IEEE.

authors

• Ji, Jim

published proceedings

• Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009

author list (cited authors)

• Feng, S., & Ji, J.

citation count

• 6

complete list of authors

• Feng, S||Ji, J

publication date

• January 2009

Digital Object Identifier (DOI)

• 10.1109/IEMBS.2009.5333700

International Standard Book Number (ISBN) 13

• 9781424432967

start page

• 4045

end page

• 4048