Abstract #3383
Uncertainty Volume Analysis - A Measure for Protocol Performance
Cristoffer Cordes 1 and Matthias Gnther 1,2
1
Fraunhofer MEVIS, Bremen, Germany,
2
MR-Imaging
and Spectroscopy, University of Bremen, Bremen, Germany
In order to extract the information density of images
acquired with a given protocol, data was parameter
mapped (T1, T2, M0) using an objective function based on
a simulated signal model, minimized with a variation of
the simulated annealing algorithm. Calculating the
uncertainty volumes based on an uncertainty condition of
the objective function reveals a contrast that is able
to rank the performance of the utilized sequences by
eliminating the sequence of least preferable impact in a
greedy fashion. It also reveals the voxel-wise shape of
the remaining flaws. The algorithm was tested on a
series of TSE acquisitions.
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