Evidence map›Paper›PMID 26499813›Full record

ArticleNeuroImage2016

Resource atlases for multi-atlas brain segmentations with multiple ontology levels based on T1-weighted MRI.

Dan Wu, Ting Ma, Can Ceritoglu, Yue Li, Jill Chotiyanonta, Zhipeng Hou, John Hsu, Xin Xu, Timothy Brown, Michael I Miller and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NeuroImage, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing 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

61 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Review
  5. Change points for dynamic biomarkers in the Alzheimer's disease pathological cascade: A 30-year cohort study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
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  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Brain regions associated with olfactory dysfunction in first episode psychosis patients.The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry · 2023
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review

1 more citing papers are in PubMed but not listed here.

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

11 authors.

Dan WuRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Ting MaRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Can CeritogluCenter for Imaging Science, Johns Hopkins University, Baltimore, MD, USA.
Yue LiAnatomyWorks, LLC, Baltimore, MD, USA.
Jill ChotiyanontaRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Zhipeng HouRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
John HsuRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Xin XuRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Timothy BrownCenter for Imaging Science, Johns Hopkins University, Baltimore, MD, USA.
Michael I MillerCenter for Imaging Science, Johns Hopkins University, Baltimore, MD, USA; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Susumu MoriRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA. Electronic address: susumu@mri.jhu.edu.

Funding

'T V ASSESSMENT - MEMORY DISORDERED PATIENTS'P50AG005146 · NIA · JOHNS HOPKINS UNIVERSITY · PI HUGANIR, RICHARD L · 1985 to 2019
$37.6M
TR&D 4: Algorithms for functional and anatomical brain analysisP41EB015909 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI VAN ZIJL, PETER CM · 2012 to 2020
$13.1M
Translational Neuroscience CoreU54HD079123 · NICHD · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI FATEMI, S. ALI · 2014 to 2019
$7.9M
Continued Development and Maintenance of MriStudioR01NS084957 · NINDS · JOHNS HOPKINS UNIVERSITY · PI MILLER, MICHAEL I, MORI, SUSUMU · 2013 to 2022
$3.6M
Multi-Scale Electronic Human Brain AtlasR01NS086888 · NINDS · JOHNS HOPKINS UNIVERSITY · PI MORI, SUSUMU · 2014 to 2018
$1.8M
BIGDATA Small Project Structurization and Direct Search of Medical Image DataR01EB017638 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI MILLER, MICHAEL I · 2013 to 2015
$653k
In-utero characterization of embryonic mouse brain development and injury with MRIR21NS098018 · NINDS · JOHNS HOPKINS UNIVERSITY · PI WU, DAN · 2016 to 2017
$461k
NIA NIH HHS P50 AG005146NIBIB NIH HHS EB015909NIBIB NIH HHS EB017638NIBIB NIH HHS P41 EB015909NIBIB NIH HHS R01 EB017638NICHD NIH HHS U54 HD079123NINDS NIH HHS NS084957NINDS NIH HHS NS086888NINDS NIH HHS R01 NS084957NINDS NIH HHS R01 NS086888NINDS NIH HHS R21 NS098018
6 · The paper itself

Abstract

Technologies for multi-atlas brain segmentation of T1-weighted MRI images have rapidly progressed in recent years, with highly promising results. This approach, however, relies on a large number of atlases with accurate and consistent structural identifications. Here, we introduce our atlas inventories (n=90), which cover ages 4-82years with unique hierarchical structural definitions (286 structures at the finest level). This multi-atlas library resource provides the flexibility to choose appropriate atlases for various studies with different age ranges and structure-definition criteria. In this paper, we describe the details of the atlas resources and demonstrate the improved accuracy achievable with a dynamic age-matching approach, in which atlases that most closely match the subject's age are dynamically selected. The advanced atlas creation strategy, together with atlas pre-selection principles, is expected to support the further development of multi-atlas image segmentation.

Indexed as

Anatomy, ArtisticAtlases as TopicAdolescentAdultAgedAged, 80 and overBrainChildChild, PreschoolFemaleHumansImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedAtlas creation strategyDynamic age-matchingHierarchical ontologyMulti-atlasSegmentation accuracyT1-weighted

Identifiers

PMID26499813
PMCPMC4691373

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.