Clearpoint Neuro, Inc.

Chen Li

Lyubomir Georgiev Zagorchev

Damon Hyde

Philip Bradley Hotte

Timothy Neil Orr

Examples of the presently disclosed technology provide new systems and methods for performing direct targeting for DBS procedures (and other related procedures) using a single pre-operative scan of a patient's brain. Examples can achieve this single-scan direct targeting by leveraging mesh vertex-based correspondences between patient-specific 3D mesh brain structure representations across prospective and historical DBS procedures. Examples can leverage such correspondences to accurately predict DBS lead placement coordinates for a prospective DBS procedure based on historical DBS lead placement coordinates from the historical DBS procedures. Accordingly, a clinician performing the prospective DBS procedure can utilize the predicted DBS lead placement coordinates for surgical planning purposes.

Automatic, patient-specific targeting for deep brain stimulation

Systems and methods are provided that automatically determine whether a prospective surgical trajectory will collide with a patient's skull using a 3D representation of the patient's cranial region (including the patient's scalp, skull, and brain) adapted from imaging data of the patient's cranial region (e.g., MRI data or CT data). Taking a particular patient's varied skull thickness into account, examples can determine bone collision during a trajectory planning stage before or after a stereotactic frame is mounted to the patient. Accordingly, examples may preemptively alert a clinician to a potential bone collision before the prospective surgical trajectory is underway/has been executed, thereby reducing the risk of bone collision during the surgical procedure.

Method for bone collision detection using a stereotactic image-guided navigation system

Systems and methods provide automated systems for accurately estimating infusion coverage within a target brain region in real-time (or approximately real-time) during surgical procedures. Such accurate and real-time infusion coverage estimation enables intraoperative monitoring and adjustment of infusion parameters (e.g., cannula tip location, infusate delivery flow rate, etc.) for achieving optimal/improved infusion coverage for a given drug therapy. Accordingly, examples of the presently disclosed technology can improve the efficacy and safety of drug therapies delivered to the brain.

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Plainfield, OH, United States of America

Chen Li