Super-resolution sodium MRI of human gliomas at 3T using physics-based generative artificial intelligence.

ABSTRACT:

Purpose

Sodium neuroimaging provides unique insights into the cellular and metabolic properties of brain tumors. However, at 3T, sodium neuroimaging MRI's low signal-to-noise ratio (SNR) and resolution discourages routine clinical use. We evaluated the recently developed Anatomically constrained GAN using physics-based synthetic MRI artifacts" (ATHENA) for high-resolution sodium neuroimaging of brain tumors at 3T. We hypothesized the model would improve the image quality while preserving the inherent sodium information.

Methods

4,573 proton MRI scans from 1,390 suspected brain tumor patients were used for training. Sodium and proton MRI datasets from Twenty glioma patients were collected for validation. Twenty-four image-guided biopsies from seven patients were available for

SUBMITTER: Raymond C 

PROVIDER: S-EPMC12263758 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature