Bio medical Engineering seminar 01.01.17

תלמיד המחלקה להנדסה ביו רפואית לתואר שני ירצה בנושא:

Parametric Electrical Impedance Tomography for Monitoring Pleural Effusion Using a 3D Human Model

The evaluation of the amount of fluid accumulated in the pleural cavity, an abnormality known as pleural effusion (PE), has an important diagnostic value. Monitoring of such congestions is a significant clinical challenge due to the lack of direct access to the pleural cavity. In this study, a novel parametric Electrical Impedance Tomography (pEIT) technique for monitoring PE is suggested. Like most EIT based systems this technique solves both the forward and the inverse problems however, unlike the conventional EIT approach it requires only a reduced number of electrodes for the reconstruction and therefore is more practical for clinical use.

The scheme is based on an optimization process which aims to reconstruct the optimal congested pleural cavity (CPC) volume using only several body surface potential measurements. A numeric model was used for estimating the potentials developed on the body surface as a response to predetermined series of current injections. An innovative technique for simulating varying volumes of CPC was used for the feasibility assessment and a preliminary test was performed in four consecutive non-congested subjects.

 The study results show that both the model's CPC volumes and the optimized CPC volumes are highly consistent. A high linear correlation between the optimized and the reconstructed CPC volumes was found. The preliminary test results show a strong linear correlation ( ) for all four patients.

Hence, the suggested technique can estimate a CPC volume in a 3D computerized model. Furthermore, these promising results imply that this method has the potential to monitor CPC volumes in PE patients and therefore improve the efficiency of care and prognosis.

העבודה נעשתה בהנחיית פרופ' שמעון עבוד המחלקה להנדסה ביו-רפואית, אוניברסיטת תל-אביב

ההרצאה תתקיים ביום ראשון 13.11.16, בשעה 14:30

בחדר 315, הבניין הרב תחומי, אוניברסיטת תל אביב