Abstract #4522
Software for multi-average processing in neonatal cardiac imaging
Andreia S. Gaspar 1,2 , David J. Cox 1 , Alan M. Groves 1,3 , and Anthony N. Price 1
1
Centre for the Developing Brain, King's
College London, London, London, United Kingdom,
2
Instituto
de Biofisica e Engenharia Biomedica, Faculdade de
Ciencias, Universidade de Lisboa, Lisboa, Lisboa,
Portugal,
3
Department
of Pediatrics, Weill Cornell Medical College, New York,
United States
Neonatal cardiac MRI presents significant challenges
associated with subject size; cine sequences require
multiple signal averages to increase SNR. However, when
scanning unsedated, free-breathing infants, motion
artefacts compromise individual averages and the
resultant averaged dataset. We present a tool that
rigidly registers averages, correcting motion
displacement, before using intensity analysis to remove
averages of poor image quality. Applying the software on
neonatal cohort improved image quality leading to
clearer definition of endo- and epicardial borders. Such
post-processing of multi-average acquisitions could
prove valuable in future trials using neonatal cardiac
MRI.
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