US 11,727,649 B2
Methods and devices for intraoperative viewing of patient 3D surface images
Oren Mordechai Tepper, New York, NY (US); Jillian Schreiber, New York, NY (US); and Cesar Colasante, Bronx, NY (US)
Assigned to MONTEFIORE MEDICAL CENTER, Bronx, NY (US); ALBERT EINSTEIN COLLEGE OF MEDICINE, Bronx, NY (US); and The New York City Health and Hospitals Corporation, New York, NY (US)
Filed by MONTEFIORE MEDICAL CENTER, Bronx, NY (US); ALBERT EINSTEIN COLLEGE OF MEDICINE, Bronx, NY (US); and The New York City Health and Hospitals Corporation, New York, NY (US)
Filed on Oct. 2, 2020, as Appl. No. 17/62,354.
Application 17/062,354 is a continuation of application No. 15/761,832, granted, now 10,810,799, previously published as PCT/US2016/053698, filed on Sep. 26, 2016.
Claims priority of provisional application 62/233,543, filed on Sep. 28, 2015.
Prior Publication US 2021/0035370 A1, Feb. 4, 2021
Int. Cl. G06T 19/00 (2011.01); A61B 90/00 (2016.01); G16H 50/50 (2018.01); A61B 5/00 (2006.01); A61B 34/10 (2016.01); G06T 7/62 (2017.01); G06T 7/68 (2017.01); G06T 7/73 (2017.01); G06T 7/00 (2017.01); G06T 19/20 (2011.01); A61B 34/20 (2016.01); A61B 17/00 (2006.01)
CPC G06T 19/006 (2013.01) [A61B 5/0077 (2013.01); A61B 34/10 (2016.02); A61B 90/36 (2016.02); A61B 90/361 (2016.02); G06T 7/0014 (2013.01); G06T 7/62 (2017.01); G06T 7/68 (2017.01); G06T 7/74 (2017.01); G06T 19/20 (2013.01); G16H 50/50 (2018.01); A61B 2017/00792 (2013.01); A61B 2034/105 (2016.02); A61B 2034/2055 (2016.02); A61B 2090/366 (2016.02); A61B 2090/367 (2016.02); A61B 2090/368 (2016.02); A61B 2090/373 (2016.02); A61B 2090/3979 (2016.02); A61B 2505/05 (2013.01); G06T 2200/04 (2013.01); G06T 2207/10012 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/10048 (2013.01); G06T 2210/41 (2013.01)] 21 Claims
OG exemplary drawing
 
1. A method, comprising:
generating a dataset based at least in part on a three-dimensional (3D) surface image of a patient and/or on a 3D model of the patient's surface anatomy,
wherein:
the generated dataset is representative of an actual contour curve and a desired contour curve of the patient's surface anatomy,
the generated dataset includes predetermined discrete interval values that represent (i) the actual contour curve of the patient's surface anatomy and (ii) intended changes to the actual contour curve of the patient's surface anatomy to achieve the desired contour curve of the patient's surface anatomy,
the predetermined discrete interval values are based at least in part on (i) a type of intervention, (ii) a region of the patient's surface anatomy corresponding to the actual contour curve or to the desired contour curve, or (iii) a combination thereof, and
the actual and desired contour curves (a) are aligned with each other and (b) are alignable with the patient such that the actual and desired contour curved are aligned with landmarks on the patient's surface anatomy.