Abstract #4284
Sparse Parametric Imaging for direct parameter measurement: theory and phantom experiments
Ross A Little 1 , Geoff J M Parker 1 , and Chris Rose 1
1
Centre for Imaging Sciences, University of
Manchester, Manchester, United Kingdom
We present a novel method for directly measuring
morphological parameters from highly undersampled data
without need for image reconstruction. We introduce the
theory underpinning the approach and demonstrate it
using synthetic and physical phantoms. The physical
phantom measurements showed excellent agreement with
ground truth (R
2
>0.999). The mean measurement
bias was less than one voxel. We conclude that SPI is a
method with the potential to allow quantitative
measurements of interest to be made from highly
undersampled k-space data without need for explicit
image reconstruction.
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