Contact persons

• Dipl.-Ing. Chuong Ngo

Project description

Chronic heart failure is a major and increasing public health problem and the leading cause of hospitalization for patients over age 65. The majority of patients with acute decompensated heart failure are admitted to a hospital with symptoms of pulmonary congestion or edema. A non-invasive personal health care device to detect upcoming congestion and edema would allow preventing hospitalizations by timely adaption of the patient’s treatment regimen.

Understanding of the causes of pulmonary congestion and edema must be based on knowledge of the mechanism responsible for fluid exchange between the several compartments of the normal lung.

Project goals

Goal of this project is a computational 3D lung model with regional compartments which helps to simulate the physiological and dynamic properties of a normal and a congestive lung by means of diagnostic simulations. With imaging modalities, a patient customized analytic lung model can be derived. Moreover, the pulmonary congestion model can be used for model-based early detection of worsening congestive heart failure and derivation of congestion state from non-invasive  measurements.