Abstract #3259
Explicit modeling of SPGR signals using Extended Phase Graphs in DESPOT style relaxometry - a Dictionary approach
Rui Pedro A. G. Teixeira 1,2 , Shaihan J. Malik 1,2 , and Joseph V. Hajnal 1,2
1
Center for the Developing Brain, King's
College London, London, United Kingdom,
2
Division
of Imaging Sciences and Biomedical Engineering, King's
College London, London, United Kingdom
The DESPOT method for measuring T1 and T2 provides
efficient high resolution mapping that is widely used in
brain studies, but is regarded as at risk of
overestimating relaxation time values compared to more
conventional slower methods. We hypothesized that this
could be caused by imperfect spoiling of the T1 weighted
spoiled gradient echo sequences used. We explored a
dictionary based fitting approach in which the SPGR
signal is explicitly modeled using an extended phase
graph. Results suggest that while the method allows
fitting with lower residuals, resulting parameters
values are not significantly changed.
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