OPTIMIZED LINEAR COMBINATIONS OF CHANNELS FOR COMPLEX MULTIPLE-COIL B₁ FIELD ESTIMATION WITH BLOCH-SIEGERT B₁ MAPPING IN MRI Conference Paper

abstract

• Bloch-Siegert B1 mapping for multiple-channel parallel excitation systems usually produces noisy estimates in low intensity regions. Methods that use linear combinations of multiple coils have been proposed to mitigate this problem. However, little work has been done to optimize these coil combinations to improve the signal-to-noise ratio of B1 mapping in a robust way. In this paper, we propose a Cramer-Rao Lower Bound analysis based method to optimize the coil combination matrix by minimizing the variance of B1 map estimation for the previously proposed Bloch-Siegert B 1 mapping method. We illustrate how optimizing the coil combinations yields improved B1 estimates in a simulation of brain imaging with a 3T MRI scan. 2013 IEEE.

name of conference

• 2013 IEEE 10th International Symposium on Biomedical Imaging

authors

• Wright, Steven

published proceedings

• 2013 IEEE 10TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI)

author list (cited authors)

• Zhao, F., Fessler, J. A., Wright, S. M., Rispoli, J. V., & Noll, D. C.

citation count

• 3

complete list of authors

• Zhao, Feng||Fessler, Jeffrey A||Wright, Steven M||Rispoli, Joseph V||Noll, Douglas C

publication date

• April 2013

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• Proceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical Imaging  Journal

keywords

• B-1 Mapping
• Bloch-siegert B-1 Mapping
• Cramer-Rao Lower Bound
• Magnetic Resonance Imaging

Digital Object Identifier (DOI)

• 10.1109/isbi.2013.6556631

International Standard Book Number (ISBN) 13

• 9781467364546

start page

• 942

end page

• 945

URL

• http://dx.doi.org/10.1109/isbi.2013.6556631