title: Understanding NMR T(2) spectral uncertainty.
abstract: NMR relaxation and diffusion data analysis commonly uses a wide range of methods from simple exponential fitting to Laplace inversions. The pros and cons of these methods are often the subject of intense debate. We show that the ill-conditioned nature of such analysis gives rise to a range of solutions for every method resulting in uncertainty in the spectral solution. Such uncertainty is in fact characteristic of the inversion method. We show a simple method of sparse spectral representation can be used to improve the statistics of multiple-exponential-based inversion schemes.
authors.affiliation: Schlumberger-Doll Research, One Hampshire Street, Cambridge, MA 02139, USA. prange@slb.com
authors.forename: Michael
authors.initials: M
authors.lastname: Prange
authors.forename: Yi-Qiao
authors.initials: YQ
authors.lastname: Song
mesh_terms: D000465:Algorithms; D003627:Data Interpretation, Statistical; D009682:Magnetic Resonance Spectroscopy / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity