Our modular platform contains generalizable deep learning models developed for anatomical and disease-related quantification tasks in a multitude of diseases.
Advanced anatomical segmentation algorithms of the lungs, lobes, pulmonary (sub)segments, interlobar fissures, airways and anatomical branches, pulmonary arteries and pulmonary veins allow for very precise and detailed exploration of local lung pathologies for both common and rare pulmonary diseases such as COPD, Asthma, COVID-19, Cystic Fibrosis, Interstitial Lung Disease, Pulmonary Arterial Hypertension and more.
Thirona's artificial intelligence-based quantification software for chest CT scans provides:
- Anatomical measures and biomarkers such as: volumes of each anatomical structure, parenchymal density evaluation, bronchial and vascular dimensions, airway-artery analysis, fissure completeness, artery-vein analysis, etc.
- Disease-related severity and distribution assessment for: emphysema, air trapping, bronchial wall thickening, bronchial and vascular dropout, covid-19 infection, bronchiectasis, fibrosis, mucous impaction, atelectasis, CT-approximated perfusion and ventilation defects, pulmonary vascular enlargement, etc.