Basis sets

This is a list of basis sets.

Basis sets for PRESS, STEAM and sLASER for multiple vendors

These basis sets were generated using the exact waveforms, timings and 128^3 spatial points to appropriately accommodate the sidebands for each vendor/sequence combination. More details about the acquisition can be found in the reference below.

Basis sets for PRESS, STEAM and sLASER for multiple vendors
Developer Karl Landheer, Kelley Swanberg, Christoph Juchem
Format Both .RAW and .mat (INSPECTOR, readable in MATLAB) are provided. All files were generated using MATLAB
Sequence PRESS, sLASER, STEAM
License BSD3
Credit Please cite the following publication if you use this dataset: Landheer K, Swanberg, K, Juchem C. Magnetic resonance Spectrum simulator (MARSS), a novel software package for fast and computationally efficient basis set simulation. NMR Biomed. 2019, e4219. doi.org/10.1002/nbm.4129
Contact cwj2112@columbia.edu

Link to Dataset Publication

FID-MRSI 3T and 7T basis sets with measured MM

These are FID-MRSI basis sets with metabolite information simulated in NMR-Scope B and measured MM (see Publication Povazan et al, NI, 2015)

FID-MRSI 3T and 7T basis sets with measured MM
Developer Wolfgang Bogner, Gilbert Hangel, Michal Povazan, Bernhard Strasser
Format LCModel .basis and .RAW
Sequence FID-MRSI with acquisition delay of 0 ms / 1.3 ms / 1.5 ms
License BSD3
Credit Please consult the authors how to cite these basis sets
Contact mpovaza1@jhmi.edu; wolfgang.bogner@meduniwien.ac.at

Link to Dataset Publication

Neonatal 3T PRESS Basis Sets (MARBLE)

High resolution basis sets for neonatal MRS with vendor-provided SV PRESS at TE=60ms and TE=288ms, simulated using Vespa and used in the MARBLE study (see Lally P.J., Montaldo P. et al. Lancet Neuro 2019).

Neonatal 3T PRESS Basis Sets (MARBLE)
Developer Peter J Lally, PhD
Format .basis .RAW .in .pdf
Sequence PRESS (TE=60ms, TE=288ms)
License BSD3
Credit Please cite the publication mentioned below if you use these basis sets.
Contact p.lally [at] imperial.ac.uk

Link to Dataset Publication