Evidence map›Paper›PMID 24940545›Full record

ArticleBiomedical optics express2014

Incorporating MRI structural information into bioluminescence tomography: system, heterogeneous reconstruction and in vivo quantification.

Jun Zhang, Duofang Chen, Jimin Liang, Huadan Xue, Jing Lei, Qin Wang, Dongmei Chen, Ming Meng, Zhengyu Jin, Jie Tian

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.2field-weighted citation impact, top 9% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 25 citations in OpenAlex.

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4 · The record

Corrections and comments

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

10 authors at 2 institutions in 1 country.

Jun ZhangSchool of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China.
Duofang ChenSchool of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China.
Jimin LiangSchool of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China ; contributed equally.
Huadan XuePeking Union Medical College Hospital, Beijing 100730, China.
Jing LeiPeking Union Medical College Hospital, Beijing 100730, China.
Qin WangPeking Union Medical College Hospital, Beijing 100730, China.
Dongmei ChenSchool of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China.
Ming MengPeking Union Medical College Hospital, Beijing 100730, China.
Zhengyu JinPeking Union Medical College Hospital, Beijing 100730, China ; jin_zhengyu@163.com ; contributed equally.
Jie TianSchool of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China ; Key Laboratory of Molecular Imaging of Chinese Academy of Sciences, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
Xidian University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Combining two or more imaging modalities to provide complementary information has become commonplace in clinical practice and in preclinical and basic biomedical research. By incorporating the structural information provided by computed tomography (CT) or magnetic resonance imaging (MRI), the ill poseness nature of bioluminescence tomography (BLT) can be reduced significantly, thus improve the accuracies of reconstruction and in vivo quantification. In this paper, we present a small animal imaging system combining multi-view and multi-spectral BLT with MRI. The independent MRI-compatible optical device is placed at the end of the clinical MRI scanner. The small animal is transferred between the light tight chamber of the optical device and the animal coil of MRI via a guide rail during the experiment. After the optical imaging and MRI scanning procedures are finished, the optical images are mapped onto the MRI surface by interactive registration between boundary of optical images and silhouette of MRI. Then, incorporating the MRI structural information, a heterogeneous reconstruction algorithm based on finite element method (FEM) with L 1 normalization is used to reconstruct the position, power and region of the light source. In order to validate the feasibility of the system, we conducted experiments of nude mice model implanted with artificial light source and quantitative analysis of tumor inoculation model with MDA-231-GFP-luc. Preliminary results suggest the feasibility and effectiveness of the prototype system.

Indexed as

(110.0110) Imaging systems(110.6955) Tomographic imaging(170.3880) Medical and biological imaging

Identifiers

PMID24940545
PMCPMC4052915
OpenAlexW1985007652

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.