Evidence map›Paper›PMID 33104507›Full record

ArticleIEEE transactions on medical imaging2021

Parallel Transport Tractography.

Dogu Baran Aydogan, Yonggang Shi

Abstract read
In one paragraph

Article in IEEE transactions on medical imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Tractometry of Human Visual White Matter Pathways in Health and Disease.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024
    Review
  9. Article
  10. Article
  11. Article
  12. Retinotopic degeneration of the retina and optic tracts in autosomal dominant Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023
    Article
  13. Article
  14. Flow-based Geometric Interpolation of Fiber Orientation Distribution Functions.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2023
    Article
  15. Article
  16. Article
  17. ArXiv · 2023
    Article
  18. Article
  19. Article
  20. 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

2 authors.

Dogu Baran Aydogan
Yonggang Shi

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
TR&D3: Intrinsic Surface MappingP41EB015922 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI VAN HORN, JOHN DARRELL · 2012 to 2022
$14.1M
Human Connectomes for Low Vision, Blindness, and Sight RestorationU01EY025864 · NEI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI AGUIRRE, GEOFFREY KARL, PATEL, VIVEK R. · 2015 to 2018
$4.0M
Surface-Based Fiber Tracking and Modeling Techniques for Mapping the Superficial White Matter Connectome with Diffusion MRIR01EB022744 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Yonggang Shi · 2016 to 2026
$3.7M
Brainstem connectomes related to Alzheimer's diseaseRF1AG056573 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SHI, YONGGANG · 2018 to 2018
$2.5M
Tau-induced connectome imaging markers of Alzheimer's diseaseRF1AG064584 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SHI, YONGGANG · 2020 to 2020
$2.1M
Tau-associated pathological changes in reward networks for the prediction of neuropsychiatric symptoms in Alzheimer’s diseaseR21AG064776 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SHI, YONGGANG · 2019 to 2020
$444k
NEI NIH HHS U01 EY025864NIA NIH HHS R21 AG064776NIA NIH HHS RF1 AG056573NIA NIH HHS RF1 AG064584NIBIB NIH HHS P41 EB015922NIBIB NIH HHS R01 EB022744NIMH NIH HHS U54 MH091657
6 · The paper itself

Abstract

Tractography is an important technique that allows the in vivo reconstruction of structural connections in the brain using diffusion MRI. Although tracking algorithms have improved during the last two decades, results of validation studies and international challenges warn about the reliability of tractography and point out the need for improved algorithms. In propagation-based tracking, connections have traditionally been modeled as piece-wise linear segments. In this work, we propose a novel propagation-based tracker that is capable of generating geometrically smooth ( C

Indexed as

ConnectomeDiffusion Tensor ImagingAlgorithmsBrainDiffusion Magnetic Resonance ImagingHumansReproducibility of Results

Identifiers

PMID33104507
PMCPMC7931442

What OpenQuestion holds

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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.