Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 245

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Quantitation of intrinsic magnetic susceptibility‐related effects in a tissue matrix. Phantom study

Yablonskiy, Dmitriy A.·1998·Magnetic Resonance in Medicine

Abstract

A theoretical background and experimental method that allows a separation of intrinsic, tissue‐matrix‐specific magnetic‐field inhomogeneity effects from both macroscopic (large compared with voxel dimensions) and microscopic (on the order of molecular dimensions) inhomogeneities is proposed. Such separation allows one to take full advantage of these tissue‐matrix‐specific magnetic field inhomogeneity effects to extract information about tissue structure. A method to measure the volume fraction occupied by the susceptibility‐perturbing component in a tissue matrix, the R2′ relaxation rate constant, and the susceptibility difference between the bulk component and the susceptibility‐perturbing component in a tissue matrix has been developed and tested on phantoms. This method offers the potential to assess a variety of tissue parameters, including cerebral blood volume, blood volume and blood oxygenation‐level changes in functional MRI, the structure of trabecular bone, and other physiologically important issues.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/mrm.1910390312

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 1 references

Cited by

See all 245

Metadata

Authors
Yablonskiy, D. A.
Venue
Magnetic Resonance in Medicine
Publisher
Wiley
Published
1998-03
Volume
39
Issue
3
Pages
417-428
ISSN
  • 0740-3194 (ISSN-L)
  • 1522-2594
OpenAlex
W2015363282
Cited by
245
References
1
FWCI
6.54
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Quantitation of intrinsic magnetic susceptibility‐related effects in a tissue matrix. Phantom study. https://app.cochat.ai/papers/10.1002/mrm.1910390312
The paper
Yablonskiy, D. A. (1998). Quantitation of intrinsic magnetic susceptibility‐related effects in a tissue matrix. Phantom study. Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.1910390312

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.