	US 12,033,320 B2
	Methods, systems, and devices for analyzing lung imaging data to determine collateral ventilation
Sri Radhakrishnan, Cupertino, CA (US); and Ryan Olivera, Granite Bay, CA (US)
Assigned to Pulmonx Corporation, Redwood City, CA (US)
Filed by Pulmonx Corporation
Filed on Aug. 3, 2021, as Appl. No. 17/444,336.
Claims priority of provisional application 63/062,390, filed on Aug. 6, 2020.
Prior Publication US 2022/0044402 A1, Feb. 10, 2022
Int. Cl. G06T 7/00 (2017.01); A61B 6/00 (2024.01); A61B 6/03 (2006.01); A61B 6/50 (2024.01); G06T 7/11 (2017.01); G16H 15/00 (2018.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G16H 20/40 (2018.01)

CPC G06T 7/0012 (2013.01) [A61B 6/032 (2013.01); A61B 6/50 (2013.01); A61B 6/5217 (2013.01); G06T 7/11 (2017.01); G16H 15/00 (2018.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G06T 2207/10081 (2013.01); G06T 2207/30061 (2013.01); G16H 20/40 (2018.01)]

19 Claims

1. A method of assessing collateral ventilation in a lung of a patient, the method comprising:

analyzing computerized tomography data of a lung, wherein analyzing the computerized tomography data comprises:

segmenting the lung into separate lobes;

segmenting at least one of the separate lobes into a plurality of lung segments;

calculating emphysema scores for one or more regions of each of the plurality of lung segments based on a density mask;

identifying a fissure defect;

identifying one or more lung segments of the plurality of lung segments adjacent to the fissure defect;

calculating a fissure defect score based on a size of the fissure defect;

determining a proximity of the fissure defect to the one or more regions of the one or more identified lung segments;

selecting a lung segment of the one or more identified lung segments; and

determining whether collateral ventilation is present or above a threshold level in the selected lung segment based on the calculated emphysema scores for the one or more regions of the selected lung segment, fissure defect score, and the proximity of the fissure defect to the one or more regions of the selected lung segment.

12. A method of assessing collateral ventilation in a lung of a patient, the method comprising:

analyzing computerized tomography data of a lung, wherein analyzing the computerized tomography data comprises:

segmenting the lung into separate lobes;

segmenting at least one of the separate lobes into a plurality of lung segments;

identifying a fissure defect;

identifying one or more lung segments of the plurality of lung segments adjacent to the fissure defect;

calculating emphysema scores for one or more regions of a first lung segment of the one or more lung segments adjacent to the fissure defect and for one or more regions of a second lung segment of the one or more lung segments adjacent to the fissure defect on an opposing side of the fissure defect based on a density mask;

calculating a fissure defect score based on a size of the fissure defect;

determining proximity of the fissure defect to the one or more regions of the first lung segment and the one or more regions of the second lung segment; and

determining whether collateral ventilation is present or above a threshold level in the first or second lung segment based on the calculated emphysema scores, fissure defect score, and the proximity the fissure defect to the one or more regions of the first and second lung segments.