Evidence map›Paper›PMID 25426775›Full record

ArticleMagnetic resonance in medicine2015

Generalized Lorentzian Tensor Approach (GLTA) as a biophysical background for quantitative susceptibility mapping.

Dmitriy A Yablonskiy, Alexander L Sukstanskii

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Characterizing white matter fiber orientation effects on multi-parametric quantitative BOLD assessment of oxygen extraction fraction.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2020
    Article
  6. Article
  7. Article
  8. Lorentzian effects in magnetic susceptibility mapping of anisotropic biological tissues.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2018
    Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Dmitriy A YablonskiyDepartment of Radiology, Washington University, St. Louis, Missouri, USA.
Alexander L Sukstanskii

Funding

QUANTITATIVE BOLD CONTRAST IN HEALTH AND DISEASER01NS055963 · NINDS · WASHINGTON UNIVERSITY · PI YABLONSKIY, DMITRIY A · 2008 to 2012
$1.6M
NINDS NIH HHS R01 NS055963NINDS NIH HHS R01NS055963
6 · The paper itself

Abstract

purposeQuantitative susceptibility mapping (QSM) is a potentially powerful technique for mapping tissue magnetic susceptibility from gradient recalled echo (GRE) MRI. Herein we aim to derive the relationships between GRE signal phase and the underlying tissue microstructure and magnetic susceptibility at the cellular level.

methodsWe use Maxwell's equations and a statistical approach to derive the expression for the magnetic-susceptibility-induced MR signal frequency shift of the GRE signal in single- and multicompartment systems, in which inhomogeneous magnetic field is induced by the cellular constituents (proteins, lipids, iron, etc.) distributed in intra- and extracellular spaces.

resultsWe introduce the Generalized Lorentzian Tensor Approach (GLTA) that accounts for both types of anisotropy: the anisotropy of magnetic susceptibility and the structural tissue anisotropy. In the GLTA the frequency shift due to the local environment is characterized by the Lorentzian tensor L⁁ which has a substantially different structure than the susceptibility tensor χ⁁. While components of χ⁁ are simply compartmental susceptibilities "weighted" by their relative volumes, the components of L⁁ are weighted by specific numerical factors depending on tissue micro-symmetry and parameters related to the MR pulse sequence. We also provide equations bridging phenomenological and microscopic considerations.

conclusionThe GLTA provides a consistent background for deciphering phase data.

Indexed as

Models, BiologicalAlgorithmsAnimalsBrainComputer SimulationElectric ConductivityHumansImage Interpretation, Computer-AssistedMagnetic Resonance ImagingMolecular ImagingReproducibility of ResultsSensitivity and SpecificityGeneralized Lorentzian Tensor Approachmagnetic susceptibilityphase contrastquantitative susceptibility mappingwhite matter

Identifiers

PMID25426775
PMCPMC4314469

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.