title: The fast Padé transform in magnetic resonance spectroscopy for potential improvements in early cancer diagnostics.
abstract: The convergence rates of the fast Padé transform (FPT) and the fast Fourier transform (FFT) are compared. These two estimators are used to process a time-signal encoded at 4 T by means of one-dimensional magnetic resonance spectroscopy (MRS) for healthy human brain. It is found systematically that at any level of truncation of the full signal length, the clinically relevant resonances that determine concentrations of metabolites in the investigated tissue are significantly better resolved in the FPT than in the FFT. In particular, the FPT has a better resolution than the FFT for the same signal length. Moreover, the FPT can achieve the same resolution as the FFT by using twice shorter signals. Implications of these findings for two-dimensional magnetic resonance spectroscopy as well as for two- and three-dimensional magnetic resonance spectroscopic imaging are highlighted. Self-contained cross-validation of all the results from the FPT is secured by using two conceptually different, equivalent algorithms (inside and outside the unit-circle), that are both valid in the entire complex frequency plane. The difference between the results from these two variants of the FPT is indistinguishable from the background noise. This constitutes robust error analysis of proven validity. The FPT shows promise in applications of MRS for early cancer detection.
authors.affiliation: Department of Oncology and Pathology, Karolinska Institute, PO Box 260, Stockholm, SE-171776, Sweden. Dzevad.Belkic@radfys.ki.se
authors.forename: Dzevad
authors.initials: D
authors.lastname: Belkić
authors.forename: Karen
authors.initials: K
authors.lastname: Belkić
mesh_terms: D000465:Algorithms; D001921:Brain / Q000378:metabolism / Q000473:pathology*; D005583:Fourier Analysis; D006801:Humans; D009682:Magnetic Resonance Spectroscopy / Q000295:instrumentation* / Q000379:methods*; D015233:Models, Statistical; D009369:Neoplasms / Q000175:diagnosis*; D012815:Signal Processing, Computer-Assisted; D013053:Spectrophotometry; D013997:Time Factors