Meeting Banner
Abstract #0168

Regularized QSM in Seconds

Berkin Bilgic1, Itthi Chatnuntawech1, Audrey Peiwen Fan1, Elfar Adalsteinsson2, 3

1EECS, Massachusetts Institute of Technology, Cambridge, MA, United States; 2EECS, MIT, Cambridge, MA, United States; 3Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, United States

Regularized Quantitative Susceptibility Mapping reconstruction with computation time on the order of seconds is demonstrated by expressing the solution of the associated optimization problem

Keywords

abstract accurate added aliasing applications audience avoid axis background carried chosen circular clinicians closed code coded compartment compartments computed concentration cone conjugate constant consuming content convolution cost counterpart curve dataset datasets defined depicted diagonal dimensions dipole distribution division efficiently either entries equal error estimation exact expected expressed facilitate faster field fitting form formulation forward free frequency function gave gradient gray ground health healthy heuristic in vivo index inverse inversion investigators involves iron iterations iterative iteratively kernel known lends magnified mapping maps matrices matrix measured minimization minimize minimized minimizer minutes model much multiplication noise noisy nonlinear normalized numerical objective observations operator optimization orientation orientations oxygenation padded peak phantom problem processing proposed quantitative rapidly reconstructed reconstruction reconstructions regularization regularized removed representation requires resolution root running scaling sciences similarly since solution solutions solver space square subject susceptibility target technology tissue took transform true truth twice unknown unlike venous white workstation yield yielded yields zero