US 12,433,690 B2
System and method for lidar-based anatomical mapping
John Kyle Dorman, Midland, TX (US)
Assigned to Circinus Medical Technology LLC, Concord, MA (US)
Appl. No. 18/554,969
Filed by Circinus Medical Technology LLC, Concord, MA (US)
PCT Filed Apr. 13, 2022, PCT No. PCT/US2022/024683
§ 371(c)(1), (2) Date Oct. 11, 2023,
PCT Pub. No. WO2022/221449, PCT Pub. Date Oct. 20, 2022.
Claims priority of provisional application 63/174,928, filed on Apr. 14, 2021.
Prior Publication US 2024/0197411 A1, Jun. 20, 2024
Int. Cl. A61B 8/00 (2006.01); A61B 34/20 (2016.01); A61B 90/00 (2016.01); A61B 34/10 (2016.01)
CPC A61B 34/20 (2016.02) [A61B 90/37 (2016.02); A61B 2034/105 (2016.02); A61B 2034/107 (2016.02); A61B 2034/2055 (2016.02); A61B 2090/365 (2016.02)] 24 Claims
OG exemplary drawing
 
20. A method for guiding a surgical tool or a medical device into a subject, the method comprising:
receiving, by one or more processors, scanning data from a LIDAR scanner, the scanning data corresponding to an anatomical surface at a desired location;
identifying, by the one or more processors, one or more anatomical landmarks based on the received scanning data by applying one or more trained neural networks or machine learning databases trained using a set of anatomical surface scans and diagnostic images;
generating, by the one or more processors, an anatomical surface map of the anatomical surface of the desired location of the subject;
correlating, by the one or more processors, the anatomical surface map with one or more diagnostic images of at least the desired location of the subject;
determining, by the one or more processors, an anatomical entry point for insertion of the surgical tool or the medical device based on the correlation and based on at least one of the one or more anatomical landmarks identified by applying the one or more trained neural networks or machine learning databases; and
presenting, by the one or more processors, for display an output indicative of the anatomical entry point.