Evidence map›Paper›PMID 29770920›Full record

ArticleMedical & biological engineering & computing2018

Filtered maximum likelihood expectation maximization based global reconstruction for bioluminescence tomography.

Defu Yang, Lin Wang, Dongmei Chen, Chenggang Yan, Xiaowei He, Jimin Liang, Xueli Chen

Abstract read
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In one paragraph

Article in Medical & biological engineering & computing, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Defu YangInstitute of Information and Control, Hangzhou Dianzi University, Hangzhou, 310018, China.
Lin WangSchool of Information Sciences and Technology, Northwest University, Xi'an, 710126, China.
Dongmei ChenCollege of Life Information Science and Instrument Engineering, Hangzhou Dianzi University, Hangzhou, 310018, China.
Chenggang YanInstitute of Information and Control, Hangzhou Dianzi University, Hangzhou, 310018, China.
Xiaowei HeSchool of Information Sciences and Technology, Northwest University, Xi'an, 710126, China.
Jimin LiangEngineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, 710127, China.
Xueli ChenEngineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, 710127, China. xlchen@xidian.edu.cn.

Funding

National Natural Science Foundation of China 61601154National Natural Science Foundation of China 61671196National Natural Science Foundation of China 81571725National Natural Science Foundation of China 81627807National Natural Science Foundation of China (CN) 61327902National Natural Science Foundation of China (CN) 61372046Zhejiang Province Nature Science Foundation of China LR17F030006
6 · The paper itself

Abstract

The reconstruction of bioluminescence tomography (BLT) is severely ill-posed due to the insufficient measurements and diffuses nature of the light propagation. Predefined permissible source region (PSR) combined with regularization terms is one common strategy to reduce such ill-posedness. However, the region of PSR is usually hard to determine and can be easily affected by subjective consciousness. Hence, we theoretically developed a filtered maximum likelihood expectation maximization (fMLEM) method for BLT. Our method can avoid predefining the PSR and provide a robust and accurate result for global reconstruction. In the method, the simplified spherical harmonics approximation (SP

Indexed as

AlgorithmsAnimalsHumansImage Interpretation, Computer-AssistedLiver NeoplasmsLuminescent MeasurementsMaleMice, Inbred BALB CTomography, OpticalBioluminescence tomographyGlobal reconstructionImage reconstruction technique

Identifiers

PMID29770920

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.