Enhancing sharp features by locally relaxing regularization for reconstructed images in electrical impedance tomography

Nanda V. Ranade; Damayanti C. Gharpure

Open Access

Enhancing sharp features by locally relaxing regularization for reconstructed images in electrical impedance tomography

Nanda V. Ranade

and

Damayanti C. Gharpure

| Jul 02, 2019

Journal of Electrical Bioimpedance

Volume 10 (2019): Issue 1 (January 2019)

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Page range: 2 - 13

Received: May 30, 2018

DOI: https://doi.org/10.2478/joeb-2019-0002

Keywords
EIT, reconstruction, regularization, high curvature shape details, sharp features

© 2019 Ranade, Gharpure., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

(a) High curvature objects of interest in (c)(d) Medical imaging & (b) process tomography.

Conductivity distributions simulated to verify use of DeTER.

(a) Modified electrode interface (b) Papaya under test with electrodes attached.

Effect of hyper parameter in the reconstruction process HP: hyper parameter; 0.1 indicates low regularization and 1 indicates hish regularization.

Effect of type of prior on reconstructed image using DeTER.

Plots of shape descriptor function for original and reconstructed images without and with DeTER (3rd iteration) using (a) Tikhonov and (b) NOSER prior (c) comparison of correlation coefficients for (a) and (b).

Effect of threshold on reconstruction of conducting and non-conducting objects.

(a) Reconstruction of diamond shape object with DeTER using NOSER prior (b)Shape descriptor for original and reconstructed images with and without DeTER (c) Comparison of correlation coefficients.

Reconstructions for open data. (a)(b)(c) case3.3 actual photograph with reconstructed images in open EIT data. (d)(e) Reconstructed images without and with DeTER using NOSER prior. (f)(g) Reconstructed images without and with DeTER using Tikhonov prior.

Shape descriptor functions for triangular target in original and reconstructed images with and without DeTER using (a) Tikhonov and (b) NOSER prior (c) comparison of correlation coefficients for (a) and (b).

(a) Relative target area (%) for all targets in the original and reconstructed images

Reconstructed images with actual cross-sectional cuts of papaya fruits

(a) Shape descriptor functions for void in papaya1 and its images. (b) Comparison of correlation coefficients.

Improvement in relative target area

Parameter	Relative target area (%)

Data	Open data		DoEIT

Inclusion	Triangle	Circle	Papaya2
Original	5	3	33

With DeTER	5	5	36

Without DeTER	6	2	28

Improvement in CNR

Parameter		Contrast to noise ratio (CNR)

Data	Simulated		DoEIT

Inclusion	Cross	Diamond	Papaya1
With DeTER	6.20	6.21	6.10

Without DeTER	4.86	4.62	4.55

Improvements in correlation coefficient for shape descriptor function

Parameter		Correlation coefficient for shape descriptor function

Data	Simulated		Open data		DoEIT

Inclusion	Cross	Diamond	Triangle	Circle	Papaya1
Original	1	1	1	1	1

With DeTER	0.94	0.92	0.70	1.00	0.96

Without DeTER	0.69	0.47	0.39	1.00	0.23

eISSN:: 1891-5469
Language:: English

Publication timeframe:: Volume Open
Journal Subjects:: Engineering, Bioengineering and Biomedical Engineering, Biomedical Electronics, Life Sciences, Biophysics, Medicine, Biomedical Engineering, Physics, Spectroscopy and Metrology

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Enhancing sharp features by locally relaxing regularization for reconstructed images in electrical impedance tomography

Published Online: Jul 02, 2019

Page range: 2 - 13

Received: May 30, 2018

DOI: https://doi.org/10.2478/joeb-2019-0002

Keywords
EIT, reconstruction, regularization, high curvature shape details, sharp features

© 2019 Ranade, Gharpure., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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Improvement in relative target area

Improvement in CNR

Improvements in correlation coefficient for shape descriptor function

Enhancing sharp features by locally relaxing regularization for reconstructed images in electrical impedance tomography

Published Online: Jul 02, 2019

Page range: 2 - 13

Received: May 30, 2018

DOI: https://doi.org/10.2478/joeb-2019-0002

KeywordsEIT, reconstruction, regularization, high curvature shape details, sharp features

© 2019 Ranade, Gharpure., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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Improvement in relative target area

Improvement in CNR

Improvements in correlation coefficient for shape descriptor function

Keywords
EIT, reconstruction, regularization, high curvature shape details, sharp features