Abstract #0733

Combining lesion burden with cortical malformation morphology strongly predicts motor outcomes in children with cerebral palsy

Alex Pagnozzi¹, Nicholas Dowson¹, James Doecke¹, Simona Fiori², Andrea Guzzetta³, Roslyn N Boyd⁴, and Stephen Rose¹

¹The Australian e-Health Research Centre, CSIRO Health & Biosecurity, Brisbane, Australia, ²Stella Maris Institute, Pisa, Italy, ³Stella Maris institute, Pisa, Italy, ⁴The University of Queensland, Queensland Cerebral Palsy and Rehabilitation Research Centre, Brisbane, Australia

Magnetic Resonance Imaging (MRI) is the clinical standard for assessing developmental brain injury in children with Cerebral Palsy (CP). We propose an automated process that segments the spectrum of white and grey matter injury, including tissue lesions and malformations of the cortex, and correlates biomarkers of injury with the Assisting Hand Assessment (AHA), a clinical score quantifying hand function. The proposed method is shown to perform accurate tissue and injury segmentation using T1 and T2 MRI compared to the manual classification of injury, and was significantly correlated with AHA (p<0.001).

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