To isolate different peaks in the phosphorus spectrum, several preprocessing steps are usually performed, and the final information about the different metabolites is extracted by multiple Lorentzian line fitting of the spectrum [1]; this least-squares fitting is prone to noise and also depends on preprocessing steps [2]. This study will investigate the use of the Lorentzian distribution generator as a known operator in a fully connected network to fit the phosphorus spectrum.
The thesis will include the following points:
- Number of Lorentzian distributions required to fit the phosphorus spectrum
- Comparison of the least square fit and the deep Lorentzain fit
- Correlation of deep lorentzain fit peaks with tumor types
References:
- Meyerspeer M, Boesch C, Cameron D, et al. 31 P magnetic resonance spectroscopy in skeletal muscle: Experts’ consensus recommendations. NMR Biomed. Published online February 10, 2020. doi:10.1002/nbm.4246
- Rajput, J.R., et al.: Physics-informed conditional autoencoder approach for robust metabolic CEST MRI at 7T. In: Greenspan, H., et al. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023. MICCAI 2023. LNCS, vol. 14227. Springer, Cham (2023)