Articles | Volume 7, issue 2
https://doi.org/10.5194/mr-7-99-2026
https://doi.org/10.5194/mr-7-99-2026
Research article
 | 
02 Jul 2026
Research article |  | 02 Jul 2026

Segmented-overlap Fourier filtering and averaging (SOFFA) approach to improve concentration sensitivity of magnetic resonance spectra

Jason W. Sidabras

Viewed

Total article views: 339 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
250 63 26 339 20 18
  • HTML: 250
  • PDF: 63
  • XML: 26
  • Total: 339
  • BibTeX: 20
  • EndNote: 18
Views and downloads (calculated since 06 Mar 2026)
Cumulative views and downloads (calculated since 06 Mar 2026)

Viewed (geographical distribution)

Total article views: 339 (including HTML, PDF, and XML) Thereof 339 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 02 Jul 2026
Download
Short summary
To measure very weak magnetic resonance signals without new hardware, we changed how data are collected. Rather than one long sweep, we recorded many short, overlapping pieces, cleaned each piece, and then merged them. On standard instruments and with equal measuring times, this increased usable signal compared with background by about 5 to 10 times across three test samples, helping reveal details that long averaging can hide.
Share