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

Hao Jan Sun, Wai-Chi  Fang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 languageEnglish
Title of host publication2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509020737
DOIs
StatePublished - 25 Jul 2016
Event3rd IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016 - Nantou County, Taiwan
Duration: 27 May 201630 May 2016

Publication series

Name2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016

Conference

Conference3rd IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016
CountryTaiwan
CityNantou County
Period27/05/1630/05/16

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