Cited by 171Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity StudiesAnatomy and Medical Technology

The DTI Challenge: Toward Standardized Evaluation of Diffusion Tensor Imaging Tractography for Neurosurgery

Open access
Pujol, Sonia, Wells, William, Pierpaoli, Carlo, Brun, Caroline, Gee, James, Cheng, Guang, Vemuri, Baba, Commowick, Olivier +21 more·2015·Journal of Neuroimaging

Abstract

BACKGROUND AND PURPOSE: Diffusion tensor imaging (DTI) tractography reconstruction of white matter pathways can help guide brain tumor resection. However, DTI tracts are complex mathematical objects and the validity of tractography‐derived information in clinical settings has yet to be fully established. To address this issue, we initiated the DTI Challenge, an international working group of clinicians and scientists whose goal was to provide standardized evaluation of tractography methods for neurosurgery. The purpose of this empirical study was to evaluate different tractography techniques in the first DTI Challenge workshop. METHODS: Eight international teams from leading institutions reconstructed the pyramidal tract in four neurosurgical cases presenting with a glioma near the motor cortex. Tractography methods included deterministic, probabilistic, filtered, and global approaches. Standardized evaluation of the tracts consisted in the qualitative review of the pyramidal pathways by a panel of neurosurgeons and DTI experts and the quantitative evaluation of the degree of agreement among methods. RESULTS: The evaluation of tractography reconstructions showed a great interalgorithm variability. Although most methods found projections of the pyramidal tract from the medial portion of the motor strip, only a few algorithms could trace the lateral projections from the hand, face, and tongue area. In addition, the structure of disagreement among methods was similar across hemispheres despite the anatomical distortions caused by pathological tissues. CONCLUSIONS: The DTI Challenge provides a benchmark for the standardized evaluation of tractography methods on neurosurgical data. This study suggests that there are still limitations to the clinical use of tractography for neurosurgical decision making.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/jon.12283

Cites

23 of 23 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • In vivo tractography of the human brain has been evaluated by subjective assessment of plausibility or qualitative visual agreement with post-mortem Klingler-like dissections.

    “in vivo tractography of the human brain has been evaluated by subjective assessment of plausibility9, 10 or qualitative visual agreement with post-mortem Klingler-like dissections11, 12.”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 2

  1. [14]Pieper S Halle M Kikinis R 3D Slicer. Presented at the 2nd IEEE International Symposium on Biomedical Imaging: From Nano to Macro Arlington, VA, USA. April 15-18, 2004
  2. [16]Proceedings of the first MICCAI DTI Challenge on Tractography for Neurosurgical Planning Available at: http://www.namic.org/Wiki/images/3/35/DTIChallenge2011_Proceedings.pdf (accessed 23 June 2015)

Cited by

Sorted by citations

Authors
Pujol, S., Wells, W., Pierpaoli, C., Brun, C., Gee, J., Cheng, G., Vemuri, B., Commowick, O., Prima, S., Stamm, A., Goubran, M., Khan, A., Peters, T., Neher, P., Maier‐Hein, K. H., Shi, Y., Tristan‐Vega, A., Veni, G., Whitaker, R., Styner, M., Westin, C., Gouttard, S., Norton, I., Chauvin, L., Mamata, H., Gerig, G., Nabavi, A., Golby, A., & Kikinis, R.
Affiliations
  • Brigham and Women's Hospital (US)
  • National Institutes of Health (US)
  • University of Pennsylvania (US)
  • University of Florida (US)
  • Centre National de la Recherche Scientifique (FR)
  • Western University (CA)
  • German Cancer Research Center (DE)
  • Junior Group Medical Image Computing, Division of Medical and Biological Informatics German Cancer Research Center Heidelberg Germany
  • University of North Carolina at Chapel Hill (US)
  • Department of Mechanical Engineering Universidad de Valladolid Valladolid Spain
  • University of Utah (US)
  • International Neuroscience Institute (DE)
Corresponding author
Pujol, Sonia
Venue
Journal of Neuroimaging
Publisher
Wiley
Published
2015-08-11
Volume
25
Issue
6
Pages
875-882
ISSN
  • 1051-2284 (ISSN-L)
  • 1552-6569
OpenAlex
W1831984264
Cited by
171
References
23
Citations by year
2026: 7 · 2025: 10 · 2024: 7 · 2023: 15 · 2022: 15 · 2021: 19 · 2020: 19 · 2019: 18 · 2018: 20 · 2017: 29 · 2016: 11 · 2015: 1
FWCI
16.48
Type
journal article
Language
en
Open access
Locations
  • Journal of Neuroimaging (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • HAL (submittedVersion)
  • Scholarship@Western (Western University) (submittedVersion)
Funders
  • National Alliance for Medical Image Computing (U54EB005149)
  • Neuroimage Analysis Center (P41RR013218)
  • National Center for Image-Guided Therapy (NCIGT P41EB015898)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Physical Sciences › Engineering › Biomedical Engineering › Anatomy and Medical Technology
Keywords
diffusion tensor tractography, corticospinal tract, glioma, brain tumor resection, white matter tracts, probabilistic tractography, deterministic tractography, standardized assessment, motor cortex, neurosurgical decision-making
MeSH terms
Algorithms, Brain, Brain Neoplasms, Glioma, Humans, Image Processing, Computer-Assisted, Pyramidal Tracts, Reference Standards, Neurosurgical Procedures, Diffusion Tensor Imaging, White Matter

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review