Ai-enhanced non-imaging tus systems

Abstract

Transcranial ultrasound systems (TUS) and methods use domain-specific large vision models (DSLVM) artificial intelligence systems to improve the efficacy of non-imaging probes. A positioning DSLVM assists an operator in improving the placement of the probe on a patient’s head. The positioning DSLVM uses a pre-procedure MRI of the patient’s head, target dose plan, target anatomy, and the probe’s position information on the scalp, and it outputs the control parameters for the probe’s beamformer. A segmenting DSLVM helps an operator with the optimal initial placement of the non-imaging probe by highlighting anatomical structures in color.

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