Maruf Ahmed

A physics-constrained Bayesian framework for QSM with uncertainty quantification and variational susceptibility source separation

Objective. Quantitative susceptibility mapping (QSM) requires inversion of a convolutional dipole operator whose null-space renders susceptibility reconstruction severely ill-posed, making the estimated susceptibility highly sensitive to measurement noise and modeling errors. Existing deep learning methods primarily pr...