Evidence map›Paper›PMID 29051681›Full record

ArticleInverse problems2016

A framelet-based iterative maximum-likelihood reconstruction algorithm for spectral CT.

Yingmei Wang, Ge Wang, Shuwei Mao, Wenxiang Cong, Zhilong Ji, Jian-Feng Cai, Yangbo Ye

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Inverse problems, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 35% 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

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 6 institutions in 3 countries.

Yingmei WangSchool of Mathematics, Shandong University, Jinan, Shandong 250100, People's Republic of China.
Ge WangBiomedical Imaging Center, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.
Shuwei MaoDepartment of Medical Engineering, Shandong Provincial Chest Hospital, Jinan, Shandong 250101, People's Republic of China.
Wenxiang CongBiomedical Imaging Center, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.
Zhilong JiSchool of Mechanical Engineering and Automation, Beijing University of Aeronautics and Astronautics, Beijing 100191, People's Republic of China.
Jian-Feng CaiDepartment of Mathematics, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong.
Yangbo YeDepartment of Mathematics, The University of Iowa, Iowa City, IA 52242, USA.
Rensselaer Polytechnic Institute · USBeihang University · CNHong Kong University of Science and Technology · HKShandong Chest Hospital · CNShandong University · CNUniversity of Iowa · US

Funding

High dose efficiency CT SystemU01EB017140 · NIBIB · STANFORD UNIVERSITY · PI EDIC, PETER, PELC, NORBERT J. · 2014 to 2018
$5.4M
Grating-based X-ray Phase-contrast Tomography MethodsR01EB016977 · NIBIB · RENSSELAER POLYTECHNIC INSTITUTE · PI WANG, GE · 2014 to 2017
$1.3M
NIBIB NIH HHS R01 EB016977NIBIB NIH HHS U01 EB017140
6 · The paper itself

Abstract

Standard computed tomography (CT) cannot reproduce spectral information of an object. Hardware solutions include dual-energy CT which scans the object twice in different x-ray energy levels, and energy-discriminative detectors which can separate lower and higher energy levels from a single x-ray scan. In this paper, we propose a software solution and give an iterative algorithm that reconstructs an image with spectral information from just one scan with a standard energy-integrating detector. The spectral information obtained can be used to produce color CT images, spectral curves of the attenuation coefficient

Indexed as

beam-hardening artifactsframeletiterative reconstructionmaximum likelihoodsoft thresholdingspectral CT

Identifiers

PMID29051681
PMCPMC5645045
OpenAlexW2532911282

What OpenQuestion holds

Textmetadata
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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.