Methods, systems, and devices for analyzing lung imaging data to determine collateral ventilation
AssigneePulmonx Corporation
InventorsSri Radhakrishnan, Ryan Olivera
Life of this patent
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Abstract
Devices, methods, and systems are provided for analyzing lung imaging data. Lung imaging data maybe analyzed to segment the lung, identify fissure locations, calculate fissure defect scores, identify adjacent lung compartments, calculate emphysema scores, calculate volumes, and calculate proximities. Collateral ventilation within a lung compartment may be determined based on the analyzed lung imaging data.
Claims27
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 lung compartments;
- calculating an emphysema score for one or more regions of one or more lung compartments based on a density mask;
- identifying a fissure defect;
- calculating a fissure defect score based on a size of the fissure defect;
- determining a proximity of the fissure defect to the region of the lung compartment;
- and
- determining whether collateral ventilation is present or above a threshold level in the lung compartment based on the calculated emphysema score, fissure defect score, and the proximity of the fissure defect to the region of the lung compartment.
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 lung compartments;
- identifying a fissure defect;
- identifying lung compartments adjacent to the fissure defect;
- calculating emphysema scores for one or more regions of a first lung compartment adjacent to the fissure defect and for one or more regions of a second lung compartment 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 proximities of the fissure defect to the region of the first lung compartment and the region of the second lung compartment;
- and
- determining whether collateral ventilation is present or above a threshold level in the first or second lung compartment based on the calculated emphysema score, fissure defect score, and the proximities of the fissure defect to the region of the first and second lung compartments.
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 lung compartments;
- identifying a fissure defect;
- identifying lung compartments adjacent to the fissure defect;
- determining changes in volumes of a first lung compartment adjacent to the fissure defect and second lung compartment adjacent to the fissure defect on an opposing side of the fissure defect during breathing;
- and
- determining whether collateral ventilation is present or above a threshold level in the first or second lung compartment based on the changes in volumes of the first and second lung compartments.
Dependencies are inferred from the claim text.