Unsupervised localization of heart and lung regions in EIT images: a validation study, Proc. 12th

We describe an algorithm for automatic detection of heart and lung regions in a time series of EIT images. Candidate regions are identified in the frequency domain and image based classification techniques applied. The algorithm was validated on a set of simultaneously recorded EIT and CT data in pigs. In 20 of 21 cases identified regions in EIT images corresponded to those manually segmented in the matched CT image. Results confirm the accuracy of anatomical features in EIT images as long as morphologically accurate information is used in EIT reconstruction.