A new approach to modeling transcranial focused ultrasound based on operator learning is proposed: a coordinate-aware neural operator tFUSOperator that maps free-field pressure, skull anatomy, and treatment parameters to the intracranial field in a shared physical coordinate frame. This is the first operator-based formulation for tFUS field prediction.
Demonstrates the potential of operator learning for fast and accurate digital twins in medical applications, which could be adapted for other physical systems.
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