US 12,272,080 B2
Systems and methods for anatomical segmentation
Eric Finley, San Diego, CA (US); and Sean O'Connor, San Diego, CA (US)
Assigned to Globus Medical Inc., Audubon, PA (US)
Appl. No. 17/761,037
Filed by Nuvasive, Inc., San Diego, CA (US)
PCT Filed Sep. 27, 2020, PCT No. PCT/US2020/052974
§ 371(c)(1), (2) Date Mar. 16, 2022,
PCT Pub. No. WO2021/062340, PCT Pub. Date Apr. 1, 2021.
Claims priority of provisional application 62/907,534, filed on Sep. 27, 2019.
Prior Publication US 2022/0351385 A1, Nov. 3, 2022
Int. Cl. G06T 7/30 (2017.01); A61B 90/00 (2016.01); G06T 7/00 (2017.01); G06T 7/10 (2017.01); G06V 10/82 (2022.01); G06V 10/26 (2022.01); G06V 10/44 (2022.01)
CPC G06T 7/30 (2017.01) [A61B 90/37 (2016.02); G06T 7/0012 (2013.01); G06T 7/10 (2017.01); G06V 10/82 (2022.01); G06T 2200/04 (2013.01); G06T 2200/24 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/10124 (2013.01); G06T 2207/20212 (2013.01); G06T 2207/30012 (2013.01); G06V 10/267 (2022.01); G06V 10/454 (2022.01)] 8 Claims
OG exemplary drawing
 
1. A method comprising:
receiving a three-dimensional image dataset of a surgical site of a patient;
segmenting one or more anatomical features of the surgical site based on the three-dimensional image dataset;
receiving a two-dimensional image of the surgical site of the patient and registering the two-dimensional image to an image from the three-dimensional image dataset; and
displaying a two-dimensional representation of the segmented one or more anatomical features based on the registered two-dimensional image and the image from the three-dimensional image dataset,
wherein the segmenting is automatic spinal canal extraction and includes preprocessing of a spinal canal in an axial plane and determining a morphology of the spinal canal in each axial slice of the three-dimensional image dataset.