04/23/2026
How can we move from qualitative review to standardized, quantitative measurements in neuroimaging? đź§
This new research from Jaswant Vemulapalli introduces a model capable of automatically identifying and measuring ventricles and midline structures from neuro ultrasound scans—with zero manual interaction required.
This tackles two major gaps in the field:
-Limited prior research articles applying AI to brain ultrasound imaging
-The lack of established models for automated brain metrology via ultrasound
By training on real patient scans, the team achieved accurate segmentation of even the most challenging, small-scale midline structures.
đź”— Dive into the technical details: https://www.preprints.org/manuscript/202603.2474
Real-time ultrasound imaging through sonolucent cranial implants is an emerging modality for post-neurosurgical monitoring of the adult brain, but quantitative interpretation remains challenging due to speckle, attenuation, shadowing, and the difficulty of consistently delineating thin anatomical la...