Summary: Evaluation of Reconstructed Images of
Regional Lung Changes Using a Model
Robert P, Patterson1
, Jie Zhang2
, Fei Yang3
, and Andy Adler4
1. University of Minnesota, Dept.of PM and R and Institute for Engineering in Medicine,
Minneapolis MN USA (firstname.lastname@example.org)
2. University of Minnesota, Dept of Radiology, Minneapolis MN USA
3. Washington University School of Medicine, Department of Radiation Oncology, St.
Louis, MO, USA
4. Carleton University, Systems and Computer Engineering, Ottawa, ON, Canada
INTRODUCTION Recent studies have shown that using EIT to monitor ventilator
dependent patients appears to have much promise (Frerichs et al. 2006). Its application
allows a possible view of regional ventilation that is dependant on the amount of positive
end expiratory pressure (PEEP). Since EIT is a low resolution imaging modality with
nonlinear characteristics, questions arise as to where in the image and to how large will
be the area of change. Using a model, this study attempts to answer these questions.
This approach would be useful in evaluating various reconstruction algorithms as
suggested by Alder et al 2010.