CT LVAS\u2122 (Computed Tomography Lung Ventilation Analysis Software) is image processing software that operates on CT scans to provide functional lung health detail not available by other modalities.\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\u00a0Looking significantly beyond lung structure, CT LVAS provides clinicians with detailed information on regional lung function using CT images from existing hospital equipment. CT LVAS quantifies regional lung ventilation and ventilation heterogeneity in a comprehensive but easy-to-interpret report that includes 4D visualizations. CT LVAS enables both lung structure and function to be assessed in one procedure.<\/p>
With CT LVAS, clinicians can better characterize lung conditions and detect associated regional lung changes\u2014without the use of contrast. CT LVAS requires paired deep-inspiratory and expiratory breath-hold volumetric CTs, acquired in the supine position.<\/p>
CT LVAS is provided via Software as a Service (SaaS). CT images are uploaded to 4DMedical for processing.<\/p>
Get the latest news about respiratory imaging and ventilation analysis<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
Home Products Software SaaS Software CT LVAS\u2122 Regional Lung Function Imaging Software\u2014Unprecedented Functional Lung Health Detail from CT Scans CT LVAS\u2122 (Computed Tomography Lung Ventilation Analysis Software) is image processing software that operates on CT scans to provide functional lung health detail not available by other modalities.\u00a0 \u00a0Looking significantly beyond lung structure, CT LVAS provides […]<\/p>\n","protected":false},"author":5,"featured_media":7741,"parent":5811,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"footnotes":""},"class_list":["post-7197","page","type-page","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"\n