Cited by 756Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity StudiesAdvanced MRI Techniques and Applications

The DOI matches its Crossref record; 33 of the 35 references it cites were found in a registry or an index.

SIFT: Spherical-deconvolution informed filtering of tractograms

Smith, Robert E., Tournier, Jacques-Donald, Calamante, Fernando, Connelly, Alan·2013·NeuroImage

DOI 10.1016/j.neuroimage.2012.11.049

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Abstract

Diffusion MRI allows the structural connectivity of the whole brain (the 'tractogram') to be estimated in vivo non-invasively using streamline tractography. The biological accuracy of these data sets is however limited by the inherent biases associated with the reconstruction method. Here we propose a method to retrospectively improve the accuracy of these reconstructions, by selectively filtering out streamlines from the tractogram in a manner that improves the fit between the streamline reconstruction and the underlying diffusion images. This filtering is guided by the results of spherical deconvolution of the diffusion signal, hence the acronym SIFT: spherical-deconvolution informed filtering of tractograms. Data sets processed by this algorithm show a marked reduction in known reconstruction biases, and improved biological plausibility. Emerging methods in diffusion MRI, particularly those that aim to characterise and compare the structural connectivity of the brain, should benefit from the improved accuracy of the reconstruction.

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Crossref · 10.1016/j.neuroimage.2012.11.049

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Authors: Smith, R. E., Tournier, J.-D., Calamante, F., & Connelly, A.
Affiliations: The University of Melbourne (AU)
Corresponding author: Smith, Robert E.
ORCID: Smith, Robert E.
Tournier, Jacques-Donald
Calamante, Fernando
Connelly, Alan
Venue: NeuroImage
Publisher: Elsevier BV
Published: 2013-02
Volume: 67
Pages: 298-312
ISSN: 1053-8119 (ISSN-L)
DOI: 10.1016/j.neuroimage.2012.11.049
OpenAlex: W1995138343
Cited by: 752
References: 35
Citations by year: 2026: 66 · 2025: 82 · 2024: 82 · 2023: 78 · 2022: 69 · 2021: 91 · 2020: 80 · 2019: 49 · 2018: 53 · 2017: 35 · 2016: 29 · 2015: 18 · 2014: 11 · 2013: 9
FWCI: 9.18
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: NeuroImage (publishedVersion)
PubMed (publishedVersion)
Research Portal (King's College London) (submittedVersion)
Funders: National Health and Medical Research Council (NHMRC) of Australia
Australian Research Council
Austin Health
Dowd Foundation Research Scholarship for Neuroscience
Victorian Government's Operational Infrastructure Support Program
Topics: Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
Keywords: tractography, spherical deconvolution, diffusion MRI, structural connectivity, reconstruction bias
MeSH terms: Algorithms, Brain, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Nerve Fibers, Myelinated, Sensitivity and Specificity, Software, Reproducibility of Results, Imaging, Three-Dimensional, Diffusion Tensor Imaging, Connectome

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SIFT: Spherical-deconvolution informed filtering of tractograms

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