Precise segmentation and robust quantifications
Our modular platform contains generalizable deep learning models developed for identifying and quantifying anatomical structures and disease-related abnormalities in a multitude of diseases. As a result, we have an outstanding capability to quickly set up optimal measurements to meet individual intervention or study requirements.
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.