Evidence map›Paper›PMID 26419738›Full record

ArticleBiomedical engineering online2015

A reconstruction approach in wavelet domain for fluorescent molecular tomography via rotated sources illumination.

Wei Zou, Jiajun Wang, Danfeng Hu, Wenxia Wang

Abstract read
In one paragraph

Article in Biomedical engineering online, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Wei ZouSchool of Electronic and Information Engineering, Soochow University, Suzhou, 215006, China. zouwei_198107@163.com.
Jiajun WangSchool of Electronic and Information Engineering, Soochow University, Suzhou, 215006, China. jjwang@suda.edu.cn.
Danfeng HuSchool of Electronic and Information Engineering, Soochow University, Suzhou, 215006, China. hdf78@suda.edu.cn.
Wenxia WangSchool of Electronic and Information Engineering, Soochow University, Suzhou, 215006, China. hnyswamin@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFluorescent molecular tomography (FMT) aims at reconstructing the spatial map of optical and fluorescence parameters from fluence measurements. Basically, solving large-scale matrix equations is computationally expensive for image reconstruction of FMT. Despite the reconstruction quality can be improved with more sources, it may result in higher computational costs for reconstruction. This article presents a novel method in the wavelet domain with rotated sources illumination.

methodsWe use the finite element method for the computation of the forward model. The global inverse problem is solved based on wavelet in conjunction with principal component analysis. The iterative reconstruction is implemented with sources rotated in a certain angle. The original excitation light sources are used to reconstruct the image in the first iteration. Then, upon the sources are rotated by a certain angle, they are employed for the next iteration of reconstruction.

resultsSimulation results demonstrate that our method can considerably reduce the time taken for the computation of inverse problem in FMT. Furthermore, the approach proposed is also shown to largely outperform the traditional method in terms of the precision of inverse solutions.

conclusionsOur method has the capability to locate the inclusions. The proposed method can significantly speed up the reconstruction process with the high reconstruction quality.

Indexed as

FluorescenceRotationWavelet AnalysisAlgorithmsFinite Element AnalysisImage Processing, Computer-AssistedPrincipal Component AnalysisTime FactorsTomography

Identifiers

PMID26419738
PMCPMC4589093

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