Publication

In vivo magnetic resonance P-31-Spectral Analysis With Neural Networks: 31P-SPAWNN

Lijing Xin
2022
Journal Articles

Abstract

Purpose: We have introduced an artificial intelligence framework, 31P-SPAWNN, in order to fully analyze phosphorus-31 (P-31) magnetic resonance spectra. The flexibility and speed of the technique rival traditional least-square fitting methods, with the performance of the two approaches, are compared in this work.

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In vivo magnetic resonance P-31-Spectral Analysis With Neural Networks: 31P-SPAWNN

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