Lungs anomaly detection by filtered back projection reconstruction method in electrical impedance tomography

The electrical impedance tomography (EIT) is a promising imaging modality for early detection of lung disease. Several advantages of EIT imaging, such as save, simple and low cost. However, the better reconstruction method is still under investigated. The paper proposed filtered back projection to produce an anomaly image in the lungs. The method is applied to reconstruct an image from relative potential data of expiration and inspiration and also on normal lung and lung with anomaly. The simulation shows that the reconstruction method of filtered back projection from the relative potential data of expiration and inspiration have not been able to detect any anomalies, but from the relative potential data of normal lungs and lungs with anomaly is able to detect the presence and position of anomaly although have not been able to distinguish the size of the anomaly.