Abstract #4432

A hybrid premature neonatal segmentation pipeline for clinical brain imaging acquired without dedicated neonatal coils.

Zachary Hill¹, Mengyuan Liu¹, Sandra Juul², and Colin Studholme³

¹Bioengineering, University of Washington, Seattle, WA, United States, ²Pediatrics, University of Washington, Seattle, WA, United States, ³Pediatrics, Bioengineering, Radiology, University of Washington, Seattle, WA, United States

Due to the difference in individual cases, larger multi-site studies of brain injury after premature birth may be needed, but dedicated neonatal imaging technology isn't always available. The use of older scanners with coils not specifically aimed at imaging neonatal brains introduces a severe intensity variation across the field of view, which can cause conventional image analysis pipelines to fail. A robust hybrid tissue segmentation pipeline was developed and shown to improve tissue segmentations of four test subjects with manual segmentations for reference. This enables automated and consistent analysis to better quantitatively study early human brain development.

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