Evidence map›Paper›PMID 39957914›Full record

ArticleComputational diffusion MRI. CDMRI (Workshop)2023

Diffusion phantom study of fiber crossings at varied angles reconstructed with ODF-Fingerprinting.

Patryk Filipiak, Timothy M Shepherd, Lee Basler, Anthony Zuccolotto, Dimitris G Placantonakis, Walter Schneider, Fernando E Boada, Steven H Baete

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Computational diffusion MRI. CDMRI (Workshop), 2023. 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
–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

0 citing papers in PubMed.

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

8 authors.

Patryk FilipiakCenter for Advanced Imaging Innovation and Research (CAIR), Department of Radiology, NYU Langone Health, New York, NY, USA.ORCID 0000-0003-3429-4572
Timothy M ShepherdCenter for Advanced Imaging Innovation and Research (CAIR), Department of Radiology, NYU Langone Health, New York, NY, USA.ORCID 0000-0003-0232-1636
Lee BaslerPsychology Software Tools, Inc., Pittsburgh, PA, USA.
Anthony ZuccolottoPsychology Software Tools, Inc., Pittsburgh, PA, USA.
Dimitris G PlacantonakisDepartment of Neurosurgery, Perlmutter Cancer Center, Neuroscience Institute, Kimmel Center for Stem Cell Biology, NYU Langone Health, New York, NY, USA.ORCID 0000-0003-1950-2978
Walter SchneiderUniversity of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0002-0133-9319
Fernando E BoadaRadiological Sciences Laboratory and Molecular Imaging Program at Stanford, Department of Radiology, Stanford University, Stanford, CA, USA.ORCID 0000-0002-3289-9917
Steven H BaeteCenter for Advanced Imaging Innovation and Research (CAIR), Department of Radiology, NYU Langone Health, New York, NY, USA.ORCID 0000-0003-3361-3789

Funding

TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Christopher M Collins · 2014 to 2026
$19.3M
Fingerprinting-Based Neuronal Fiber Identification in Brain SurgeryR01EB028774 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BAETE, STEVEN H. · 2020 to 2023
$1.9M
Q-Space Trajectories for Fast Diffusion Spectrum-based High-Definition Fiber TracR01NS082436 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BOADA, FERNANDO E · 2014 to 2017
$1.8M
NIBIB NIH HHS P41 EB017183NIBIB NIH HHS R01 EB028774NINDS NIH HHS R01 NS082436
6 · The paper itself

Abstract

White matter fiber reconstructions based on seeking local maxima of Orientation Distribution Functions (ODFs) typically fail to identify fibers crossing at narrow angles below 45°. ODF-Fingerprinting (ODF-FP) replaces the ODF maxima localization mechanism with pattern matching, allowing the use of all information stored in ODFs. In this work, we study the ability of ODF-FP to reconstruct fibers crossing at varied angles spanning 10°-90° in physical diffusion phantoms composed of textile tubes with 0.8μm diameter, approaching the anatomical scale of axons. Our results show that ODF-FP is able to correctly identify 80 ± 8% of the crossing fibers regardless of the crossing angle and provide the highest average reconstruction accuracy.

Indexed as

Diffusion MRIFiber reconstructionNarrow crossing anglesODF-Fingerprinting

Identifiers

PMID39957914
PMCPMC11826967

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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.