Evidence map›Paper›PMID 33415678›Full record

ArticleMolecular imaging and biology2021

Nonconvex Laplacian Manifold Joint Method for Morphological Reconstruction of Fluorescence Molecular Tomography.

Xuelei He, Hui Meng, Xiaowei He, Kun Wang, Xiaolei Song, Jie Tian

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Article in Molecular imaging and biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers 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.

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xuelei HeSchool of Information Sciences and Technology, Northwest University, Xi'an, 710127, China.
Hui MengCAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Xiaowei HeSchool of Information Sciences and Technology, Northwest University, Xi'an, 710127, China.
Kun WangCAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Xiaolei SongSchool of Information Sciences and Technology, Northwest University, Xi'an, 710127, China.
Jie TianCAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. jie.tian@ia.ac.cn.ORCID 0000-0002-9523-2271

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeFluorescence molecular tomography (FMT) is a promising technique for three-dimensional (3D) visualization of biomarkers in small animals. Morphological reconstruction is valuable and necessary for further applications of FMT owing to its innate requirement for knowledge of the molecular probe distributions. PROCEDURES: In this study, a Laplacian manifold regularization joint ℓ

resultsThe proposed methods demonstrated morphological accuracy, location accuracy, and reconstruction robustness in glioma simulation studies. An in vivo experiment with an orthotopic glioma mouse model confirmed the advantages of the proposed methods. The proposed methods always yielded the best intersection of union (IoU) in simulations and in vivo experiments (mean of 0.80 IoU).

conclusionsSimulation studies and in vivo experiments demonstrate that the proposed half-threshold hybrid truncated Laplacian algorithm had an improved performance compared with the comparative algorithm in terms of morphology.

Indexed as

Molecular ProbesAlgorithmsAnimalsBiomarkersBrain NeoplasmsComputer SimulationFluorescenceGliomaImage Processing, Computer-AssistedImaging, Three-DimensionalMaleMiceMice, Inbred BALB CModels, TheoreticalNeoplasm TransplantationNormal DistributionBiomarkersMolecular ProbesFluorescence molecular tomographyIn vivo imagingLaplacian manifoldMorphologyNonconvexReconstruction

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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.