Two-dimensional linear-combination model fitting of magnetic resonance spectra to define the macromolecule baseline using FiTAID, a Fitting Tool for Arrays of Interrelated Datasets
- نوع فایل : کتاب
- زبان : انگلیسی
- مؤلف : Daniel G. Q. Chong · Roland Kreis · Christine S. Bolliger · Chris Boesch · Johannes Slotboom
- چاپ و سال / کشور: 2011
Description
Object To propose the determination of the macromolecular baseline (MMBL) in clinical 1H MR spectra based on T1 and T2 differentiation using 2D fitting in FiTAID, a general Fitting Tool for Arrays of Interrelated Datasets. Materials and methods Series of localized inversionrecovery (IR) and 2DJ separation spectra of the brain were recorded at 3T. TheMMBLwas determined by three 2Devaluation methods based on (1) IR spectra only, (2) 2DJ spectra only, (3) both IR and 2DJ spectra (2DJ-IR). Their performance was compared using synthetic spectra and based on variability and reproducibility as obtained in vivo from 12 subjects in 20 examinations. Results All methods performed well for synthetic data. In vivo, 2DJ-only yielded larger variations than the other methods. IR-only and 2DJ-IR yielded similar performance. FiTAID is illustrated with further applications where linearcombination model fitting of interrelated arrays of spectra is advantageous. Conclusion 2D-Fitting offers the possibility to determine theMMBLbased on a range of complementary experimental spectra not relying on smoothness criteria or global assumptions on T1. Since 2DJ-IR includes information from spectra with different inversion and echo times, it is expected to be more robust in cases with more variable data quality and overlap with lipid resonances.
Magn Reson Mater Phy (2011) 24:147–164 DOI 10.1007/s10334-011-0246-y Received: 2 February 2010 / Revised: 3 February 2011 / Accepted: 28 February 2011 / Published online: 20 March 2011
