Keywords: CEST / APT / NOE, CEST & MT, Cancer, pH, CEST, 31P, Neuronal Network
Motivation: The pH value is an important biomarker for many diseases. MRI-based 3D pH mapping for clinical routine would be an enormous benefit for diagnostics.
Goal(s): Prediction of intracellular 31P-pHi maps from 1H APTw-CEST MRI data using a voxel-wise neural network, aiming to improve brain tumor imaging.
Approach: Fifteen glioblastoma patients underwent 3T MRI with both APTw-CEST and 31P-MRS. A neural network trained on 11 patients data to correlate APTw-CEST features with 31P-derived pHi values, tested on 4 additional patients.
Results: The neural network's pHi predictions closely matched 31P-pHi maps, showing potential for high-resolution, non-invasive pHi mapping in brain tumors.
Impact: High resolution pH imaging for better diagnosis of diseases (inflammation, stroke, tumor) and therapy monitoring in clinical routine.
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