Evidence map›Paper›PMID 34734215›Full record

ArticleMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention2020

Globally Optimized Super-Resolution of Diffusion MRI Data via Fiber Continuity.

Ye Wu, Yoonmi Hong, Sahar Ahmad, Wei-Tang Chang, Weili Lin, Dinggang Shen, Pew-Thian Yap

Abstract read
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In one paragraph

Article in Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

7 authors.

Ye WuDepartment of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina, Chapel Hill, USA.
Yoonmi HongDepartment of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina, Chapel Hill, USA.
Sahar AhmadDepartment of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina, Chapel Hill, USA.
Wei-Tang ChangDepartment of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina, Chapel Hill, USA.
Weili LinDepartment of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina, Chapel Hill, USA.
Dinggang ShenDepartment of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina, Chapel Hill, USA.
Pew-Thian YapDepartment of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina, Chapel Hill, USA.

Funding

Development of Robust Brain Measurement Tools Informed by Ultrahigh Field 7T MRIR01EB006733 · NIBIB · UNIV OF NORTH CAROLINA CHAPEL HILL · PI YAP, PEW-THIAN · 2008 to 2020
$4.5M
Robust White Matter Morphometry with Small DatabasesR01NS093842 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI YAP, PEW-THIAN · 2016 to 2018
$1.1M
NIBIB NIH HHS R01 EB006733NINDS NIH HHS R01 NS093842
6 · The paper itself

Abstract

In this paper, we introduce a technique for super-resolution reconstruction of diffusion MRI, harnessing fiber-continuity (FC) as a constraint in a global whole-brain optimization framework. FC is a biologically-motivated constraint that relates orientation information between neighboring voxels. We show that it can be used to effectively constrain the inverse problem of recovering high-resolution data from low-resolution data. Since voxels are inter-related by FC, we devise a global optimization framework that allows solutions pertaining to all voxels to be solved simultaneously. We demonstrate that the proposed super-resolution framework is effective for diffusion MRI data of a glioma patient, a healthy subject, and a macaque.

Indexed as

Diffusion MRIFiber continuitySuper-resolution

Identifiers

PMID34734215
PMCPMC8562653

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Registered trials

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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.