Evidence map›Paper›PMID 33313342›Full record

ArticleIEEE transactions on computational imaging2020

Contrast-Medium Anisotropy-Aware Tensor Total Variation Model for Robust Cerebral Perfusion CT Reconstruction with Low-Dose Scans.

Yuanke Zhang, Jiangjun Peng, Dong Zeng, Qi Xie, Sui Li, Zhaoying Bian, Yongbo Wang, Yong Zhang, Qian Zhao, Hao Zhang and 4 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in IEEE transactions on computational imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

2 citing papers in PubMed, 12 citations in OpenAlex.

  1. Directional TV algorithm for fast EPR imaging.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2024
    Article
  2. Article
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

14 authors at 6 institutions in 2 countries.

Yuanke ZhangSchool of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China, and also with the School of Information Science and Engineering, Qufu Normal University, Rizhao 276826, China.
Jiangjun PengSchool of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an 710049, China.
Dong ZengSchool of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
Qi XieSchool of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an 710049, China.
Sui LiSchool of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
Zhaoying BianSchool of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
Yongbo WangSchool of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
Yong ZhangSchool of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an 710049, China.
Qian ZhaoSchool of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an 710049, China.
Hao ZhangDepartment of Radiation Oncology, Stanford University, Stanford, CA 94305, USA.
Zhengrong LiangDepartments of Radiology and Biomedical Engineering, State University of New York at Stony Brook, NY 11794, USA.
Hongbing LuSchool of Biomedical Engineering, Fourth Military Medical University, Xi'an 710032, China.
Deyu MengSchool of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an 710049, China.
Jianhua MaSchool of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
Southern Medical University · CNXi'an Jiaotong University · CNQufu Normal University · CNAir Force Medical University · CNStanford University · USState University of New York · US

Funding

Advancing Virtual Colonoscopy for Early Cancer ScreeningR01CA206171 · NCI · STATE UNIVERSITY NEW YORK STONY BROOK · PI LIANG, JEROME Z · 2016 to 2020
$2.0M
NCI NIH HHS R01 CA206171
6 · The paper itself

Abstract

Perfusion computed tomography (PCT) is critical in detecting cerebral ischemic lesions. PCT examination with low-dose scans can effectively reduce radiation exposure to patients at the cost of degraded images with severe noise and artifacts. Tensor total variation (TTV) models are powerful tools that can encode the regional continuous structures underlying a PCT object. In a TTV model, the sparsity structures of the contrast-medium concentration (CMC) across PCT frames are assumed to be isotropic with identical and independent distribution. However, this assumption is inconsistent with practical PCT tasks wherein the sparsity has evident variations and correlations. Such modeling deviation hampers the performance of TTV-based PCT reconstructions. To address this issue, we developed a novel

Indexed as

anisotropy sparsitycerebral perfusionimage reconstructionLow-dose CTtensor total variation

Identifiers

PMID33313342
PMCPMC7731921
OpenAlexW3086859721

What OpenQuestion holds

Textmetadata
LicenceTDM
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.