An improved diffuse optical tomography image reconstruction based on sparse recovery method

Hao Jan Sun; Wai-Chi  Fang

doi:10.1109/ICCE-TW.2016.7520982

An improved diffuse optical tomography image reconstruction based on sparse recovery method

Hao Jan Sun, Wai-Chi Fang

Institute of Electronics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Diffuse Optical Tomography (DOT) is a noninvasive image detecting technique. It is used to assess spatial variation with absorption and scattering coefficients for tumor detection, distribution of oxygen concentration analysis, oxygenated hemoglobin concentration measurement or deoxygenated hemoglobin concentration measurement. In this paper, we use sparse recovery methods for DOT image reconstruction. Using the non-linear iterative method to reconstruct the DOT image can increase the resolution of each reconstructed layer. Sparse recovery methods use the p-norm in the evaluation question in 0 < p < =1. When the amount of independent gauge is limited by normal, which is a basic example for diffuse optical tomographic image reconstruction, sparse recovery methods present good performance.

Original language	English
Title of host publication	2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509020737
DOIs	https://doi.org/10.1109/ICCE-TW.2016.7520982
State	Published - 25 Jul 2016
Event	3rd IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016 - Nantou County, Taiwan Duration: 27 May 2016 → 30 May 2016

Publication series

Name	2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016

Conference

Conference	3rd IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016
Country/Territory	Taiwan
City	Nantou County
Period	27/05/16 → 30/05/16

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10.1109/ICCE-TW.2016.7520982

Cite this

Sun, H. J., & Fang, W.-C. (2016). An improved diffuse optical tomography image reconstruction based on sparse recovery method. In 2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016 Article 7520982 (2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-TW.2016.7520982

@inproceedings{9dd87a154ced41bfbdbed3bae0678ce7,

title = "An improved diffuse optical tomography image reconstruction based on sparse recovery method",

abstract = "Diffuse Optical Tomography (DOT) is a noninvasive image detecting technique. It is used to assess spatial variation with absorption and scattering coefficients for tumor detection, distribution of oxygen concentration analysis, oxygenated hemoglobin concentration measurement or deoxygenated hemoglobin concentration measurement. In this paper, we use sparse recovery methods for DOT image reconstruction. Using the non-linear iterative method to reconstruct the DOT image can increase the resolution of each reconstructed layer. Sparse recovery methods use the p-norm in the evaluation question in 0 < p < =1. When the amount of independent gauge is limited by normal, which is a basic example for diffuse optical tomographic image reconstruction, sparse recovery methods present good performance.",

author = "Sun, {Hao Jan} and Wai-Chi Fang",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 3rd IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016 ; Conference date: 27-05-2016 Through 30-05-2016",

year = "2016",

month = jul,

day = "25",

doi = "10.1109/ICCE-TW.2016.7520982",

language = "English",

series = "2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016",

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}

Sun, HJ & Fang, W-C 2016, An improved diffuse optical tomography image reconstruction based on sparse recovery method. in 2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016., 7520982, 2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016, Institute of Electrical and Electronics Engineers Inc., 3rd IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016, Nantou County, Taiwan, 27/05/16. https://doi.org/10.1109/ICCE-TW.2016.7520982

An improved diffuse optical tomography image reconstruction based on sparse recovery method. / Sun, Hao Jan; Fang, Wai-Chi .
2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7520982 (2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Sun, Hao Jan

AU - Fang, Wai-Chi

PY - 2016/7/25

Y1 - 2016/7/25

N2 - Diffuse Optical Tomography (DOT) is a noninvasive image detecting technique. It is used to assess spatial variation with absorption and scattering coefficients for tumor detection, distribution of oxygen concentration analysis, oxygenated hemoglobin concentration measurement or deoxygenated hemoglobin concentration measurement. In this paper, we use sparse recovery methods for DOT image reconstruction. Using the non-linear iterative method to reconstruct the DOT image can increase the resolution of each reconstructed layer. Sparse recovery methods use the p-norm in the evaluation question in 0 < p < =1. When the amount of independent gauge is limited by normal, which is a basic example for diffuse optical tomographic image reconstruction, sparse recovery methods present good performance.

AB - Diffuse Optical Tomography (DOT) is a noninvasive image detecting technique. It is used to assess spatial variation with absorption and scattering coefficients for tumor detection, distribution of oxygen concentration analysis, oxygenated hemoglobin concentration measurement or deoxygenated hemoglobin concentration measurement. In this paper, we use sparse recovery methods for DOT image reconstruction. Using the non-linear iterative method to reconstruct the DOT image can increase the resolution of each reconstructed layer. Sparse recovery methods use the p-norm in the evaluation question in 0 < p < =1. When the amount of independent gauge is limited by normal, which is a basic example for diffuse optical tomographic image reconstruction, sparse recovery methods present good performance.

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DO - 10.1109/ICCE-TW.2016.7520982

M3 - Conference contribution

AN - SCOPUS:84983535094

T3 - 2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016

BT - 2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016

Y2 - 27 May 2016 through 30 May 2016

ER -

Sun HJ, Fang WC. An improved diffuse optical tomography image reconstruction based on sparse recovery method. In 2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7520982. (2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016). doi: 10.1109/ICCE-TW.2016.7520982

An improved diffuse optical tomography image reconstruction based on sparse recovery method

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