{"_id":"2nCeCYc9vmArcMaDS","bibbaseid":"larsson-erdogmus-yan-principe-fitzsimmons-snroptimalityofsumofsquaresreconstructionforphasedarraymagneticresonanceimaging-2003","author_short":["Larsson, E. G.","Erdogmus, D.","Yan, R.","Principe, J. C.","Fitzsimmons, J. R."],"bibdata":{"bibtype":"article","type":"article","title":"SNR-optimality of sum-of-squares reconstruction for phased-array magnetic resonance imaging","volume":"163","issn":"10907807","url":"https://linkinghub.elsevier.com/retrieve/pii/S1090780703001320","doi":"10.1016/S1090-7807(03)00132-0","abstract":"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 ! 1) 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.","language":"en","number":"1","urldate":"2022-03-31","journal":"Journal of Magnetic Resonance","author":[{"propositions":[],"lastnames":["Larsson"],"firstnames":["Erik","G."],"suffixes":[]},{"propositions":[],"lastnames":["Erdogmus"],"firstnames":["Deniz"],"suffixes":[]},{"propositions":[],"lastnames":["Yan"],"firstnames":["Rui"],"suffixes":[]},{"propositions":[],"lastnames":["Principe"],"firstnames":["Jose","C."],"suffixes":[]},{"propositions":[],"lastnames":["Fitzsimmons"],"firstnames":["Jeffrey","R."],"suffixes":[]}],"month":"July","year":"2003","pages":"121–123","bibtex":"@article{larsson_snr-optimality_2003,\n\ttitle = {{SNR}-optimality of sum-of-squares reconstruction for phased-array magnetic resonance imaging},\n\tvolume = {163},\n\tissn = {10907807},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S1090780703001320},\n\tdoi = {10.1016/S1090-7807(03)00132-0},\n\tabstract = {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 ! 1) 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.},\n\tlanguage = {en},\n\tnumber = {1},\n\turldate = {2022-03-31},\n\tjournal = {Journal of Magnetic Resonance},\n\tauthor = {Larsson, Erik G. and Erdogmus, Deniz and Yan, Rui and Principe, Jose C. and Fitzsimmons, Jeffrey R.},\n\tmonth = jul,\n\tyear = {2003},\n\tpages = {121--123},\n}\n\n","author_short":["Larsson, E. G.","Erdogmus, D.","Yan, R.","Principe, J. C.","Fitzsimmons, J. R."],"key":"larsson_snr-optimality_2003","id":"larsson_snr-optimality_2003","bibbaseid":"larsson-erdogmus-yan-principe-fitzsimmons-snroptimalityofsumofsquaresreconstructionforphasedarraymagneticresonanceimaging-2003","role":"author","urls":{"Paper":"https://linkinghub.elsevier.com/retrieve/pii/S1090780703001320"},"metadata":{"authorlinks":{}},"html":""},"bibtype":"article","biburl":"https://bibbase.org/zotero/jjAllen01","dataSources":["b2rH2vd6Bpc9f2j4b"],"keywords":[],"search_terms":["snr","optimality","sum","squares","reconstruction","phased","array","magnetic","resonance","imaging","larsson","erdogmus","yan","principe","fitzsimmons"],"title":"SNR-optimality of sum-of-squares reconstruction for phased-array magnetic resonance imaging","year":2003}