US 12,257,096 B2
Patient-specific infusion coverage estimates using segmented 3D brain representations
Lyubomir Zagorchev, Burlington, MA (US); Damon Hyde, Somerville, MA (US); and Chen Li, Plainfield, OH (US)
Assigned to ClearPoint Neuro, Inc., Solana Beach, CA (US)
Filed by ClearPoint Neuro, Inc., Solana Beach, CA (US)
Filed on Aug. 24, 2022, as Appl. No. 17/894,589.
Prior Publication US 2024/0065662 A1, Feb. 29, 2024
Int. Cl. A61B 6/00 (2024.01); A61B 34/20 (2016.01)
CPC A61B 6/541 (2013.01) [A61B 34/20 (2016.02); A61B 2034/2051 (2016.02)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
subtracting a first 3D image of a patient's brain acquired before infusate has been delivered to the patient's brain from a second 3D image of the patient's brain acquired after infusate has been delivered to the patient's brain;
based on the subtraction, generating a 3D infusate delivery representation, the 3D infusate delivery representation volumetrically representing the delivered infusate within the patient's brain;
comparing the 3D infusate delivery representation to a segmented 3D representation of the patient's brain, wherein the segmented 3D representation of the patient's brain comprises a 3D target brain region sub-representation representing a target brain region of the patient;
based on the comparison, estimating a level of coverage for delivered infusate within the target brain region; and
providing a notification related to the estimated level of coverage for delivered infusate within the target brain region.