US 12,223,666 B2
Methods for optimizing the planning and placement of probes in the brain via multimodal 3D analyses of cerebral anatomy
Nitin Tandon, Houston, TX (US); Mehmet Kadipasaoglu, Houston, TX (US); Kevin Pham, Sugar Lang, TX (US); Cristian Donos, Bucharest (RO); Kiefer Forseth, Houston, TX (US); and Patrick Sarahan Rollo, Houston, TX (US)
Assigned to THE BOARD OF REGENTS OF THE UNIVERSITY OF TEXAS SYSTEM, Austin, TX (US)
Filed by BOARD OF REGENTS OF THE UNIVERSITY OF TEXAS SYSTEM, Austin, TX (US)
Filed on Aug. 11, 2023, as Appl. No. 18/448,289.
Application 18/448,289 is a continuation of application No. 17/181,345, filed on Feb. 22, 2021, granted, now 11,734,842.
Claims priority of provisional application 62/978,868, filed on Feb. 20, 2020.
Prior Publication US 2024/0221192 A1, Jul. 4, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G06T 7/37 (2017.01); A61B 34/10 (2016.01); G01R 33/56 (2006.01); G06T 7/11 (2017.01); G06T 7/38 (2017.01)
CPC G06T 7/37 (2017.01) [A61B 34/10 (2016.02); G01R 33/5607 (2013.01); G06T 7/11 (2017.01); G06T 7/38 (2017.01); A61B 2034/102 (2016.02); A61B 2034/107 (2016.02); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/10104 (2013.01); G06T 2207/30016 (2013.01)] 16 Claims
OG exemplary drawing
 
1. A method, comprising:
obtaining a first imaging scan and a second imaging scan of a single subject brain;
converting the first imaging scan to a first dataset, and the second imaging scan to a second dataset;
applying an adaptive segmentation algorithm to the first dataset and the second dataset, wherein the adaptive segmentation algorithm performs automatic intensity-based tissue classification to generate a first labeled dataset and a second labeled dataset;
automatically co-registering the first labeled dataset and the second labeled dataset to each other to generate a transformation matrix based on the first labeled dataset and the second labeled dataset; and
applying the transformation matrix to align the first dataset and the second dataset.