Unbiased Groupwise Registration of White Matter Tractography
Open accessAbstract
We present what we believe to be the first investigation into unbiased multi-subject registration of whole brain diffusion tractography of the white matter. To our knowledge, this is also the first entropy-based objective function applied to fiber tract registration. To define the probability of fiber trajectories for the computation of entropy, we take advantage of a pairwise fiber distance used as the basis for a Gaussian-like kernel. By employing several values of the kernel's scale parameter, the method is inherently multi-scale. Results of experiments using synthetic and real datasets demonstrate the potential of the method for simultaneous joint registration of tractography.
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Most widely used streamline labeling approaches perform linear registration, while many studies have proposed non-linear approaches to enable deformations of the streamlines.
“Most widely used approaches perform a linear registration (Garyfallidis et al., 2015; O’Donnell et al., 2012), while many studies have proposed to perform non-linear approaches to enable deformations of the streamlines (Benou et al., 2019; Chandio and Garyfallidis, 2020; Olivetti et al., 2016).”
From Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review (2022) · cites this paper as O’Donnell et al., 2012
The Methods (section 2.3; page unavailable) describe this paper’s tractography registration as fully affine, supporting its use as an example of linear registration. The Introduction says alignment is often performed using transformations from image-based registration, but does not establish that linear approaches are the most widely used. The nonlinear-approaches clause is attributed to other citations in the sentence, not to this paper. (LLM, conf=0.82)
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Cites
Powell, M. J. D. (1994) · Advances in Optimization and Numerical Analysis · doi:10.1007/978-94-015-8330-5_4 · Cited by 1,369 · see citing works
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Research works printed but not linked: 17
- [1]Caan M Majoie C van Vliet L van der Graaff M Vos F Non-rigid point set matching of white matter tracts for diffusion tensor image analysis Biomedical Engineering, IEEE Transactions on 58 9 2431 2440 2010 21118765
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Zhang, F., Daducci, A., He, Y., Schiavi, S., Seguin, C., Smith, R. E., Yeh, C.-H., Zhao, T., & O’Donnell, L. J. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2021.118870 · Cited by 302 · see citing works
Self-citationRobust and efficient linear registration of white-matter fascicles in the space of streamlines
Garyfallidis, E., Ocegueda, O., Wassermann, D., & Descoteaux, M. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.05.016 · Cited by 84 · see citing works
Gong, S., Zhang, F., Norton, I., Essayed, W. I., Unadkat, P., Rigolo, L., Pasternak, O., Rathi, Y., Hou, L., Golby, A. J., et al. (2018) · PLOS ONE · doi:10.1371/journal.pone.0197056 · Cited by 51 · see citing works
Self-citation
- Authors
- O’Donnell, L. J., Wells, W. M., Golby, A. J., & Westin, C.-F.
- Affiliations
- Brigham and Women's Hospital (US)
- Corresponding author
- O’Donnell, Lauren J.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2012
- Volume
- 15
- Issue
- Pt 3
- Pages
- 123-130
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- PMC
- PMC3638882
- OpenAlex
- W88165185
- Cited by
- 112
- References
- 1
- Citations by year
- 2026: 4 · 2025: 7 · 2024: 10 · 2023: 21 · 2022: 8 · 2021: 9 · 2020: 14 · 2019: 7 · 2018: 9 · 2017: 8 · 2016: 10 · 2015: 2 · 2014: 1 · 2013: 2
- FWCI
- 4.63
- Type
- conference paper
- Language
- en
- Open access
- green
- europepmc.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Lecture notes in computer science (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- Funders
- National Institute of Mental Health (R01MH092862, R01MH074794)
- National Cancer Institute (R21CA156943)
- National Institute of Biomedical Imaging and Bioengineering (P41EB015902, P41EB015898)
- National Center for Research Resources (P41RR019703, P41RR013218)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- white matter tractography, groupwise registration, diffusion MRI, Gaussian kernel, multi-scale registration
- MeSH terms
- Algorithms, Brain, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Nerve Fibers, Myelinated, Pattern Recognition, Automated, Sensitivity and Specificity, Subtraction Technique, Reproducibility of Results, Imaging, Three-Dimensional, Diffusion Tensor Imaging
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