SNR-optimality of sum-of-squares reconstruction for phased-array magnetic resonance imaging
2003 (English)In: Journal of magnetic resonance (San Diego, Calif. 1997: Print), ISSN 1090-7807, E-ISSN 1096-0856, Vol. 163, no 1, 121-123 p.Article in journal (Refereed) Published
We consider the commonly used “Sum-of-Squares” (SoS) reconstruction method for phased-array magnetic resonance imaging with unknown coil sensitivities. We show that the signal-to-noise ratio (SNR) in the image produced by SoS is asymptotically (as the input SNR→∞) equal to that of maximum-ratio combining, which is the best unbiased reconstruction method when the coil sensitivities are known. Finally, we discuss the implications of this result.
Place, publisher, year, edition, pages
Elsevier, 2003. Vol. 163, no 1, 121-123 p.
Magnetic resonance imaging; Sum-of-squares; Signal-to-noise ratio; al properties
Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-77041DOI: 10.1016/S1090-7807(03)00132-0OAI: oai:DiVA.org:liu-77041DiVA: diva2:524687