Automatic quantitation of localized in vivo 1H spectra with LCModel

By S. Provencher. NMR in Biomedicine, 2001

1,679 citations recorded by the source corpus.

Subfields: Molecular Biology, Radiology, Nuclear Medicine and Imaging, Spectroscopy

View Paper: https://www.semanticscholar.org/paper/88cba3cb0f937d4b825bf11a438280417d66e718

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In Molecular Biology

In Radiology, Nuclear Medicine and Imaging

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Citations in the corpus

Gannet: A Batch-Processing Tool for the Quantitative Analysis of Gamma-Aminobutyric Acid–Edited MR Spectroscopy Spectra (2013, methodology): “For example, editing signiﬁcantly reduces overlap between signals in a spectrum, the main problem addressed by linear combination approaches such as LCModel.”
A review of magnetic resonance imaging and diffusion tensor imaging findings in mild traumatic brain injury (2012, background): “Author manuscript; available in PMC 2013 October 21.”
Anti-VEGF treatment reduces blood supply and increases tumor cell invasion in glioblastoma (2011, methodology): “LCModel (48) to obtain absolute metabolite concentrations and reported as”
Current practice in the use of MEGA-PRESS spectroscopy for the detection of GABA (2012, positive): “The (subtracted) metabolite and water files are processed in LCModel using either an experimental or simulated basis set including basis spectra for GABA, glutamate, glutamine, Glx, NAA and glutathione, either with the control parameters VITRO=T, NOBASE=T, or with the coedited macromolecular signal ”
The NIH MRI study of normal brain development (2006, positive): “The MRS data were analyzed with the LCModel package (Provencher, 1993, 2001) which reads raw 1H MRS data files to produce fitted spectra with absolute metabolite concentrations.”
Aperiodic EEG and 7T MRSI evidence for maturation of E/I balance supporting the development of working memory through adolescence (2024, methodology): “Prefrontal cortex (PFC) undergoes significant maturation through adolescence, including gray matter thinning (Paus et al., 2008; Whitford et al., 2007; Giedd, 2004) and changes in task-related activation (Luna et al., 2015, 2001; Bunge et al., 2002; Ciesielski et al., 2006).”