Abstract
Single voxel magnetic resonance spectroscopy (SVS) is a non-invasive technique that can be used to probe metabolic activity in tumours. Previous studies have used metabolite concentrations to classify paediatric brain tumours from good quality data. However, the use of in vivo MRS whole spectra and wavelet de-noising for paediatric brain tumours have been rarely reported. In this study, we investigated the performance of spectra in classifying paediatric brain tumours by employing wavelet-based de-noising, and found significantly reduced error rate of classification based on the whole spectra, compared to that from metabolite concentrations and fits.
| Original language | English |
|---|---|
| Title of host publication | Proc Intl Magn Reson Med |
| Place of Publication | Montréal, Canada |
| Publisher | International Society for Magnetic Resonance in Medicine |
| Pages | 3083-3083 |
| Number of pages | 1 |
| Volume | 27 |
| Publication status | Published - 1 May 2019 |
ASJC Scopus subject areas
- Radiology Nuclear Medicine and imaging
- Signal Processing
- Artificial Intelligence
- Oncology