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LEVEL SET BASED RECONSTRUCTION ALGORITHM FOR EIT LUNG IMAGES Peyman Rahmati1
 

Summary: LEVEL SET BASED RECONSTRUCTION ALGORITHM FOR EIT LUNG IMAGES
Peyman Rahmati1
, Manuchehr Soleimani2
, and Andy Adler1
1
Carleton University, Ottawa, Canada. {prahmati,adler}@sce.carleton.ca
2
Bath University, UK. {m.soleimani}@bath.ac.uk
ABSTRACT
We show that electrical impedance tomography (EIT) image
reconstruction algorithms based on the Level Set (LS) method
are suitable for real data, which is breathing data in our appli-
cation. The LS based reconstruction method (LSRM) helps
track fast topologically changing interfaces, which are typi-
cally smoothed by traditional voxel based reconstruction me-
thod (VBRM), during the monitoring process. We represent
lung images by applying the LSRM using difference solver
and then compare the results with the VBRM. According to
our results, LSRM outperforms its voxel based counterparts
in producing high quality, high contrast images of lung.

  

Source: Adler, Andy - Department of Systems and Computer Engineering, Carleton University

 

Collections: Computer Technologies and Information Sciences