Literature DB >> 16636416

Uses and abuses of EIDORS: an extensible software base for EIT.

Andy Adler1, William R B Lionheart.   

Abstract

EIDORS is an open source software suite for image reconstruction in electrical impedance tomography and diffuse optical tomography, designed to facilitate collaboration, testing and new research in these fields. This paper describes recent work to redesign the software structure in order to simplify its use and provide a uniform interface, permitting easier modification and customization. We describe the key features of this software, followed by examples of its use. One general issue with inverse problem software is the difficulty of correctly implementing algorithms and the consequent ease with which subtle numerical bugs can be inadvertently introduced. EIDORS helps with this issue, by allowing sharing and reuse of well-documented and debugged software. On the other hand, since EIDORS is designed to facilitate use by non-specialists, its use may inadvertently result in such numerical errors. In order to address this issue, we develop a list of ways in which such errors with inverse problems (which we refer to as 'cheats') may occur. Our hope is that such an overview may assist authors of software to avoid such implementation issues.

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Year:  2006        PMID: 16636416     DOI: 10.1088/0967-3334/27/5/S03

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  53 in total

1.  Impact of model shape mismatch on reconstruction quality in electrical impedance tomography.

Authors:  Bartłomiej Grychtol; William R B Lionheart; Marc Bodenstein; Gerhard K Wolf; Andy Adler
Journal:  IEEE Trans Med Imaging       Date:  2012-05-22       Impact factor: 10.048

2.  EIT image reconstruction with four dimensional regularization.

Authors:  Tao Dai; Manuchehr Soleimani; Andy Adler
Journal:  Med Biol Eng Comput       Date:  2008-07-17       Impact factor: 2.602

3.  Assessment of lung ventilation in infants with respiratory distress syndrome using electrical impedance tomography.

Authors:  I Chatziioannidis; T Samaras; G Mitsiakos; P Karagianni; N Nikolaidis
Journal:  Hippokratia       Date:  2013-04       Impact factor: 0.471

4.  Application of internal electrodes to the oesophageal and tracheal tube in an animal trial: evaluation of its clinical and technical potentiality in electrical impedance tomography.

Authors:  Michael Czaplik; Christoph Hoog Antink; Rolf Rossaint; Steffen Leonhardt
Journal:  J Clin Monit Comput       Date:  2013-11-27       Impact factor: 2.502

5.  Noninvasive pulmonary artery pressure monitoring by EIT: a model-based feasibility study.

Authors:  Martin Proença; Fabian Braun; Josep Solà; Jean-Philippe Thiran; Mathieu Lemay
Journal:  Med Biol Eng Comput       Date:  2016-09-17       Impact factor: 2.602

6.  Adaptive techniques in electrical impedance tomography reconstruction.

Authors:  Taoran Li; David Isaacson; Jonathan C Newell; Gary J Saulnier
Journal:  Physiol Meas       Date:  2014-05-20       Impact factor: 2.833

7.  A unified approach for EIT imaging of regional overdistension and atelectasis in acute lung injury.

Authors:  Camille Gómez-Laberge; John H Arnold; Gerhard K Wolf
Journal:  IEEE Trans Med Imaging       Date:  2012-01-10       Impact factor: 10.048

8.  Higher order total variation regularization for EIT reconstruction.

Authors:  Bo Gong; Benjamin Schullcke; Sabine Krueger-Ziolek; Fan Zhang; Ullrich Mueller-Lisse; Knut Moeller
Journal:  Med Biol Eng Comput       Date:  2018-01-08       Impact factor: 2.602

9.  Absolute electrical impedance tomography (aEIT) guided ventilation therapy in critical care patients: simulations and future trends.

Authors:  Mouloud A Denaï; Mahdi Mahfouf; Suzani Mohamad-Samuri; George Panoutsos; Brian H Brown; Gary H Mills
Journal:  IEEE Trans Inf Technol Biomed       Date:  2009-11-10

10.  Adaptive Kaczmarz method for image reconstruction in electrical impedance tomography.

Authors:  Taoran Li; Tzu-Jen Kao; David Isaacson; Jonathan C Newell; Gary J Saulnier
Journal:  Physiol Meas       Date:  2013-05-29       Impact factor: 2.833

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