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Cited by 247Advanced Neuroimaging Techniques and ApplicationsMedical Image Segmentation TechniquesTensor decomposition and applications

Filtered multitensor tractography

Open access
Malcolm, James G., Shenton, Martha E., Rathi, Yogesh·2010·IEEE Transactions on Medical Imaging
DOI 10.1109/tmi.2010.2048121PMC PMC3045040
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Abstract

We describe a technique that uses tractography to drive the local fiber model estimation. Existing techniques use independent estimation at each voxel so there is no running knowledge of confidence in the estimated model fit. We formulate fiber tracking as recursive estimation: at each step of tracing the fiber, the current estimate is guided by those previous. To do this we perform tractography within a filter framework and use a discrete mixture of Gaussian tensors to model the signal. Starting from a seed point, each fiber is traced to its termination using an unscented Kalman filter to simultaneously fit the local model to the signal and propagate in the most consistent direction. Despite the presence of noise and uncertainty, this provides a causal estimate of the local structure at each point along the fiber. Using two- and three-fiber models we demonstrate in synthetic experiments that this approach significantly improves the angular resolution at crossings and branchings. In vivo experiments confirm the ability to trace through regions known to contain such crossing and branching while providing inherent path regularization.

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  • The diffusion or fiber model can be simultaneously estimated when performing tractography so that microstructural measures are directly computed at points along each streamline.

    “Instead of using a pre-calculated microstructure image, the diffusion or fiber model can be simultaneously estimated when performing tractography so that the microstructural measures are directly computed at points along each streamline (Girard et al., 2017; Gong et al., 2018; Malcolm et al., 2010; Olszewski et al., 2017; Reddy and Rathi, 2016).”

    From Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review (2022) · cites this paper as Malcolm et al., 2010

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References 52 · Cited by 247

Research works printed but not linked: 41

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Authors
Malcolm, J. G., Shenton, M. E., & Rathi, Y.
Affiliations
Brigham and Women's Hospital (US)
ORCID
Venue
IEEE Transactions on Medical Imaging
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2010-09
Volume
29
Issue
9
Pages
1664-1675
ISSN
  • 0278-0062 (ISSN-L)
  • 1558-254X
DOI
10.1109/tmi.2010.2048121
PMC
PMC3045040
OpenAlex
W2130199747
Cited by
247
References
52
Citations by year
2026: 10 · 2025: 27 · 2024: 23 · 2023: 29 · 2022: 15 · 2021: 18 · 2020: 15 · 2019: 9 · 2018: 16 · 2017: 19 · 2016: 9 · 2015: 13 · 2014: 17 · 2013: 12 · 2012: 8
FWCI
6.76
Type
journal article
Language
en
Open access
Licence
ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
Locations
  • IEEE Transactions on Medical Imaging (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
  • SMARTech Repository (Georgia Institute of Technology) (submittedVersion)
Funders
  • National Institute of Mental Health (R01MH 52807, P50MH080272, R01MH50740, R01MH052807, R01MH050740, R01MH074794)
  • National Institute of General Medical Sciences (U54 GM072977-01)
  • National Institute of Biomedical Imaging and Bioengineering (U54EB005149)
  • National Center for Research Resources (P41RR013218, P41 RR13218)
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
  • Physical Sciences › Mathematics › Computational Mathematics › Tensor decomposition and applications
Keywords
tractography, unscented Kalman filter, recursive estimation, crossing fibers, angular resolution, diffusion MRI
MeSH terms
Algorithms, Brain, Corpus Callosum, Humans, Nerve Fibers, Signal Processing, Computer-Assisted, Normal Distribution, Diffusion Tensor Imaging

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