A fast time-difference inverse solver for 3D EIT with application to lung imaging.
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-call...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 54; no. 8; pp. 1243 - 1256 |
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| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Aug2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=117360497&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 117360497 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Aug2016 vid: 54 iid: 8 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 117360497 117360497 NLM26733089 10.1007/s11517-015-1441-1 NLM26733089 117360497 ppf: 1243 ppct: 13 formats: fmt: @attributes: type: P tig: atl: A fast time-difference inverse solver for 3D EIT with application to lung imaging. aug: au: Javaherian, Ashkan Soleimani, Manuchehr Moeller, Knut affil: Institute of Technical Medicine, Faculty of Medical and Life Sciences , Furtwangen University of Applied Sciences , Villingen-Schwenningen Germany sug: subj: Tomography Methods Lung Image Processing, Computer Assisted Methods Electric Impedance Sensitivity and Specificity Algorithms Clinical Assessment Tools Scales ab: 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. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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