Literature DB >> 3240636

Errors in reconstruction of resistivity images using a linear reconstruction technique.

D C Barber1, B H Brown.   

Abstract

Reconstruction of electrical impedance images using the filtered back projection method of Barber and Brown makes several important assumptions about the object being imaged. These are principally that the object has a circular boundary, is two-dimensional and of impedance close to uniform, and has electrodes equally spaced on its boundary. In practice few of these assumptions are met, yet the method appears to give sensible and useful images. This paper looks at errors of reconstruction produced by non-ideal placement of the electrodes and shows that the reconstruction method is insensitive to such placement errors.

Mesh:

Year:  1988        PMID: 3240636     DOI: 10.1088/0143-0815/9/4a/017

Source DB:  PubMed          Journal:  Clin Phys Physiol Meas        ISSN: 0143-0815


  7 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.  A fast time-difference inverse solver for 3D EIT with application to lung imaging.

Authors:  Ashkan Javaherian; Manuchehr Soleimani; Knut Moeller
Journal:  Med Biol Eng Comput       Date:  2016-01-06       Impact factor: 2.602

3.  Reconstructions of conductive and insulating targets using the D-bar method on an elliptical domain.

Authors:  E K Murphy; J L Mueller; J C Newell
Journal:  Physiol Meas       Date:  2007-06-26       Impact factor: 2.833

4.  Optical breast shape capture and finite-element mesh generation for electrical impedance tomography.

Authors:  J Forsyth; A Borsic; R J Halter; A Hartov; K D Paulsen
Journal:  Physiol Meas       Date:  2011-06-07       Impact factor: 2.833

5.  Combing signal processing methods with algorithm priori information to produce synergetic improvements on continuous imaging of brain electrical impedance tomography.

Authors:  Haoting Li; Rongqing Chen; Canhua Xu; Benyuan Liu; Xiuzhen Dong; Feng Fu
Journal:  Sci Rep       Date:  2018-07-04       Impact factor: 4.379

6.  Measurement-Based Domain Parameter Optimization in Electrical Impedance Tomography Imaging.

Authors:  Jan Dusek; Jan Mikulka
Journal:  Sensors (Basel)       Date:  2021-04-03       Impact factor: 3.576

7.  Automated 3D thorax model generation using handheld video-footage.

Authors:  Nadine Dussel; Reinhard Fuchs; Andreas W Reske; Thomas Neumuth
Journal:  Int J Comput Assist Radiol Surg       Date:  2022-03-31       Impact factor: 3.421

  7 in total

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