Abstract #2339

Fetal brain Super-Resolution Reconstruction reliability from clinical MRI data

Tommaso Ciceri^1,2, Letizia Squarcina³, Adele Ferro⁴, Florian Montano⁵, Alessandra Bertoldo^2,6, Nicola Persico⁷, Simona Boito⁷, Fabio Maria Triulzi^3,8, Giorgio Conte⁸, Paolo Brambilla^3,4, and Denis Peruzzo⁵

¹NeuroImaging, IRCCS Eugenio Medea, Bosisio Parini (LC), Italy, ²Department of Information Engineering, University of Padua, Padova, Italy, ³Pathophysiology and Transplantation, University of Milan, Milano, Italy, ⁴Neurosciences and Mental Health, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milano, Italy, ⁵NeuroImaging Lab, IRCCS Eugenio Medea, Bosisio Parini (LC), Italy, ⁶Neuroscience Center, University of Padua, Padova, Italy, ⁷Department of Woman, Child and Newborn, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milano, Italy, ⁸Services and Preventive Medicine, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milano, Italy

Synopsis

Keywords: Fetal, Brain, Neurodevelopment, Biometry, Image ReconstructionIn this study, we characterized the geometric reliability of the Super-Resolution (SR) images reconstructed via NiftyMIC and MIALSRTK toolkits over a common clinical fetal MR dataset (20-21 weeks of gestation). We compare 15 biometric measures derived from the acquired 2D images with those derived from the SR brain volumes. Furthermore, we examined two different acquisition sequences (TSE Vs. b-FFE) to evaluate which of them lead to more reliable measures and high-resolution reconstructions. Our findings strengthen the adoption of SR toolkits for fetal brain reconstructions to perform biometry evaluations, suggesting to use TSE sequences.

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