title: A fast time-difference inverse solver for 3D EIT with application to lung imaging.
abstract: A class of sparse optimization techniques that require solely matrix-vector products, rather than an explicit access to the forward matrix and its transpose, has been paid much attention in the recent decade for dealing with large-scale inverse problems. This study tailors application of the so-called Gradient Projection for Sparse Reconstruction (GPSR) to large-scale time-difference three-dimensional electrical impedance tomography (3D EIT). 3D EIT typically suffers from the need for a large number of voxels to cover the whole domain, so its application to real-time imaging, for example monitoring of lung function, remains scarce since the large number of degrees of freedom of the problem extremely increases storage space and reconstruction time. This study shows the great potential of the GPSR for large-size time-difference 3D EIT. Further studies are needed to improve its accuracy for imaging small-size anomalies.
authors.affiliation: Institute of Technical Medicine, Faculty of Medical and Life Sciences, Furtwangen University of Applied Sciences, Villingen-Schwenningen, Germany.
authors.forename: Ashkan
authors.initials: A
authors.lastname: Javaherian
authors.affiliation: Engineering Tomography Laboratory (ETL), Department of Electrical Engineering, University of Bath, Bath, UK. m.soleimani@bath.ac.uk.
authors.forename: Manuchehr
authors.initials: M
authors.lastname: Soleimani
authors.affiliation: Institute of Technical Medicine, Faculty of Medical and Life Sciences, Furtwangen University of Applied Sciences, Villingen-Schwenningen, Germany.
authors.forename: Knut
authors.initials: K
authors.lastname: Moeller
mesh_terms: D000465:Algorithms; D017097:Electric Impedance; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008168:Lung / Q000000981:diagnostic imaging*; D059629:Signal-To-Noise Ratio; D014054:Tomography / Q000379:methods*
keywords: Gradient Projection for Sparse Reconstruction; Lung imaging; Sparse recovery; Three-dimensional electrical impedance tomography