Mean magnetic susceptibility regularized susceptibility tensor imaging (MMSR-STI) for estimating orientations of white matter fibers in human brain

Research output: Contribution to journalArticle

Abstract

PURPOSE: An increasing number of studies show that magnetic susceptibility in white matter fibers is anisotropic and may be described by a tensor. However, the limited head rotation possible for in vivo human studies leads to an ill-conditioned inverse problem in susceptibility tensor imaging (STI). Here we suggest the combined use of limiting the susceptibility anisotropy to white matter and imposing morphology constraints on the mean magnetic susceptibility (MMS) for regularizing the STI inverse problem.

METHODS: The proposed MMS regularized STI (MMSR-STI) method was tested using computer simulations and in vivo human data collected at 3T. The fiber orientation estimated from both the STI and MMSR-STI methods was compared to that from diffusion tensor imaging (DTI).

RESULTS: Computer simulations show that the MMSR-STI method provides a more accurate estimation of the susceptibility tensor than the conventional STI approach. Similarly, in vivo data show that use of the MMSR-STI method leads to a smaller difference between the fiber orientation estimated from STI and DTI for most selected white matter fibers.

CONCLUSION: The proposed regularization strategy for STI can improve estimation of the susceptibility tensor in white matter.

Original languageEnglish (US)
Pages (from-to)610-619
Number of pages10
JournalMagnetic Resonance in Medicine
Volume72
Issue number3
DOIs
StatePublished - Sep 1 2014

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Diffusion Tensor Imaging
Brain
Computer Simulation
Anisotropy
Head
White Matter

Keywords

  • diffusion tensor imaging
  • fiber orientation
  • magnetic susceptibility anisotropy
  • mean magnetic susceptibility
  • MMS
  • MSA
  • susceptibility tensor imaging
  • white matter

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

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title = "Mean magnetic susceptibility regularized susceptibility tensor imaging (MMSR-STI) for estimating orientations of white matter fibers in human brain",
abstract = "PURPOSE: An increasing number of studies show that magnetic susceptibility in white matter fibers is anisotropic and may be described by a tensor. However, the limited head rotation possible for in vivo human studies leads to an ill-conditioned inverse problem in susceptibility tensor imaging (STI). Here we suggest the combined use of limiting the susceptibility anisotropy to white matter and imposing morphology constraints on the mean magnetic susceptibility (MMS) for regularizing the STI inverse problem.METHODS: The proposed MMS regularized STI (MMSR-STI) method was tested using computer simulations and in vivo human data collected at 3T. The fiber orientation estimated from both the STI and MMSR-STI methods was compared to that from diffusion tensor imaging (DTI).RESULTS: Computer simulations show that the MMSR-STI method provides a more accurate estimation of the susceptibility tensor than the conventional STI approach. Similarly, in vivo data show that use of the MMSR-STI method leads to a smaller difference between the fiber orientation estimated from STI and DTI for most selected white matter fibers.CONCLUSION: The proposed regularization strategy for STI can improve estimation of the susceptibility tensor in white matter.",
keywords = "diffusion tensor imaging, fiber orientation, magnetic susceptibility anisotropy, mean magnetic susceptibility, MMS, MSA, susceptibility tensor imaging, white matter",
author = "Xu Li and {Van Zijl}, {Peter C}",
year = "2014",
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day = "1",
doi = "10.1002/mrm.25322",
language = "English (US)",
volume = "72",
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AU - Li, Xu

AU - Van Zijl, Peter C

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N2 - PURPOSE: An increasing number of studies show that magnetic susceptibility in white matter fibers is anisotropic and may be described by a tensor. However, the limited head rotation possible for in vivo human studies leads to an ill-conditioned inverse problem in susceptibility tensor imaging (STI). Here we suggest the combined use of limiting the susceptibility anisotropy to white matter and imposing morphology constraints on the mean magnetic susceptibility (MMS) for regularizing the STI inverse problem.METHODS: The proposed MMS regularized STI (MMSR-STI) method was tested using computer simulations and in vivo human data collected at 3T. The fiber orientation estimated from both the STI and MMSR-STI methods was compared to that from diffusion tensor imaging (DTI).RESULTS: Computer simulations show that the MMSR-STI method provides a more accurate estimation of the susceptibility tensor than the conventional STI approach. Similarly, in vivo data show that use of the MMSR-STI method leads to a smaller difference between the fiber orientation estimated from STI and DTI for most selected white matter fibers.CONCLUSION: The proposed regularization strategy for STI can improve estimation of the susceptibility tensor in white matter.

AB - PURPOSE: An increasing number of studies show that magnetic susceptibility in white matter fibers is anisotropic and may be described by a tensor. However, the limited head rotation possible for in vivo human studies leads to an ill-conditioned inverse problem in susceptibility tensor imaging (STI). Here we suggest the combined use of limiting the susceptibility anisotropy to white matter and imposing morphology constraints on the mean magnetic susceptibility (MMS) for regularizing the STI inverse problem.METHODS: The proposed MMS regularized STI (MMSR-STI) method was tested using computer simulations and in vivo human data collected at 3T. The fiber orientation estimated from both the STI and MMSR-STI methods was compared to that from diffusion tensor imaging (DTI).RESULTS: Computer simulations show that the MMSR-STI method provides a more accurate estimation of the susceptibility tensor than the conventional STI approach. Similarly, in vivo data show that use of the MMSR-STI method leads to a smaller difference between the fiber orientation estimated from STI and DTI for most selected white matter fibers.CONCLUSION: The proposed regularization strategy for STI can improve estimation of the susceptibility tensor in white matter.

KW - diffusion tensor imaging

KW - fiber orientation

KW - magnetic susceptibility anisotropy

KW - mean magnetic susceptibility

KW - MMS

KW - MSA

KW - susceptibility tensor imaging

KW - white matter

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