This application is a combination of three components: volumetric 3D segmentation of the lungs and its lobes, automated lung co-registration between two CT scans, and characterization of lung parenchyma. There are multiple uses of this algorithm, including:
(1) longitudinal tracking between multiple CT exams for lung nodules,
(2) determination of lung lobe of lung nodules (i.e. RUL, LUL),
(3) subtraction of lung between inspiratory and expiratory phase (assessment of air trapping for COPD, or post-lung transplant)
(4) comparison of change between multiple CT exams for infection (i.e. COVID-19)
See Description. The algorithm can be incorporated into the existing Arterys Lung AI product for lung nodules, filling a yet unmet feature requirement for lung nodule assessment. It also opens up applications for Arterys for COPD and assessing infections/pneumonia over time for COVID-19.
CT Chest. One volume or two volumes (when using co-registration).
Trained with non-contrast, contrast-enhanced, and angiographic contrast-enhanced.
Information on training data
Non-contrast CT Chest - Public and Private
Model performance metrics
pending publication, can be shared privately
Model available on Arterys.
AiDA Lab at UC San Diego
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