US 12,245,821 B2
Endotracheal tube size selection and insertion depth estimation using statistical shape modelling and virtual fitting
Cornelis Petrus Hendriks, Eindhoven (NL); Kiran Hamilton J. Dellimore, Eindhoven (NL); Joerg Sabczynski, Hamburg (DE); Thomas Koehler, Hamburg (DE); Jaap Roger Haartsen, Eindhoven (NL); Rafael Wiemker, Hamburg (DE); and Michael Polkey, London (GB)
Assigned to Koninklijke Philips N.V., Eindhoven (NL)
Filed by KONINKLIJKE PHILIPS N.V., Eindhoven (NL)
Filed on May 5, 2022, as Appl. No. 17/737,421.
Claims priority of provisional application 63/219,370, filed on Jul. 8, 2021.
Prior Publication US 2023/0009274 A1, Jan. 12, 2023
Int. Cl. A61B 34/10 (2016.01); A61B 6/03 (2006.01); G06T 7/62 (2017.01)
CPC A61B 34/10 (2016.02) [A61B 6/032 (2013.01); G06T 7/62 (2017.01); A61B 2034/102 (2016.02); A61B 2034/105 (2016.02)] 16 Claims
OG exemplary drawing
 
1. An intubation assistance device comprising an electronic controller configured to:
generate a patient respiratory tract geometry model of at least a portion of a human respiratory tract by inputting one or more patient variables into a statistical shape model (SSM) of at least a portion of the human respiratory tract, wherein the one or more patient variables include at least one of: height, weight, body-mass index, age, and gender;
select a recommended endotracheal tube (ETT) size by modeling at least one ETT model inserted into the patient respiratory tract geometry model to form a virtual fit model and estimating at least one fit parameter based on the virtual fit model; and
display the recommended ETT size on a display device.