A Digital Phantom for MR Spectroscopy Data Simulation.

ABSTRACT:

Purpose

Simulated data is increasingly valued by researchers for validating MRS processing and analysis algorithms. However, there is no consensus on the optimal approaches for simulation models and parameters. This study introduces a novel MRS digital brain phantom framework, providing a comprehensive and modular foundation for MRS data simulation.

Methods

The framework generates a digital brain phantom by combining anatomical and tissue label information with metabolite data from the literature. This phantom contains all necessary information for simulating spectral data. The MRS phantom is combined with a signal-based model to demonstrate its functionality and usability in generating various spectral datasets. Outputs can be saved in the NIfTI-MRS format, enabling their u

SUBMITTER: van de Sande DMJ 

PROVIDER: S-EPMC12746399 | biostudies-literature | 2026 Mar

REPOSITORIES: biostudies-literature