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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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