Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 276

The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.

UTE imaging in the musculoskeletal system

Open access
Chang, Eric Y., Du, Jiang, Chung, Christine B.·2015·Journal of Magnetic Resonance Imaging
DOI 10.1002/jmri.24713
Open this paper in CoChat — free account

Abstract

Tissues, such as bone, tendon, and ligaments, contain a high fraction of components with "short" and "ultrashort" transverse relaxation times and therefore have short mean transverse relaxation times. With conventional magnetic resonance imaging (MRI) sequences that employ relatively long echo times (TEs), there is no opportunity to encode the decaying signal of short and ultrashort T2/T2* tissues before it has reached zero or near zero. The clinically compatible ultrashort TE (UTE) sequence has been increasingly used to study the musculoskeletal system. This article reviews the UTE sequence as well as various modifications that have been implemented since its introduction. These modifications have been used to improve efficiency or contrast as well as provide quantitative analysis. This article reviews several clinical musculoskeletal applications of UTE. J. Magn. Reson. Imaging 2015;41:870–883. © 2014 Wiley Periodicals, Inc.

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/jmri.24713

Cites

42 of 42 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 42 references

Research works printed but not linked: 55

  1. 10.1259/bjr/74368403 · doi:10.1259/bjr/74368403
  2. Pauly JM, 2012, Selective excitation for ultrashort echo time imaging. eMagRes
  3. 10.1016/j.mri.2007.08.005 · doi:10.1016/j.mri.2007.08.005
  4. 10.1002/mrm.21620 · doi:10.1002/mrm.21620
  5. 10.1002/mrm.1910390212 · doi:10.1002/mrm.1910390212
  6. Weiger M, 2012, MRI with zero echo time. eMagRes
  7. 10.1002/9780470034590.emrstm1259 · doi:10.1002/9780470034590.emrstm1259
  8. 10.1002/mrm.23017 · doi:10.1002/mrm.23017
  9. Ida M, 2014, Quiet T1‐weighted imaging using PETRA: initial clinical evaluation in intracranial tumor patients, J Magn Reson Imaging
  10. 10.1016/j.jmr.2010.09.013 · doi:10.1016/j.jmr.2010.09.013
  11. 10.1002/mrm.23075 · doi:10.1002/mrm.23075
  12. Gore JC, 2013, The physics of relaxation. eMagRes
  13. Du J, 2012, Quantitative ultrashort TE (UTE) imaging of short T2 tissues. eMagRes
  14. 10.1002/jmri.21396 · doi:10.1002/jmri.21396
  15. 10.1302/2046-3758.21.2000135 · doi:10.1302/2046-3758.21.2000135
  16. 10.1002/mrm.23047 · doi:10.1002/mrm.23047
  17. 10.1148/radiol.12111883 · doi:10.1148/radiol.12111883
  18. 10.1097/RLI.0b013e31821c44cd · doi:10.1097/rli.0b013e31821c44cd
  19. 10.1002/mrm.24130 · doi:10.1002/mrm.24130
  20. 10.1097/00004728-198511000-00002 · doi:10.1097/00004728-198511000-00002
  21. Springer F, 2012, Magnetization transfer‐ultrashort echo time (MT‐UTE) imaging. eMagRes
  22. Johnson D, 2007, Practical orthopaedic sports medicine and arthroscopy
  23. 10.1002/(SICI)1097-0029(19970515)37:4<271::AID-JEMT3>3.0.CO;2-O · doi:10.1002/(sici)1097-0029(19970515)37:4<271::aid-jemt3>3.0.co;2-o
  24. 10.1016/j.joca.2013.04.021 · doi:10.1016/j.joca.2013.04.021
  25. 10.1302/0301-620X.62B3.7410471 · doi:10.1302/0301-620x.62b3.7410471
  26. 10.22203/eCM.v021a35 · doi:10.22203/ecm.v021a35
  27. 10.1148/radiol.09081743 · doi:10.1148/radiol.09081743
  28. 10.1002/1522-2594(200012)44:6<840::AID-MRM4>3.0.CO;2-K · doi:10.1002/1522-2594(200012)44:6<840::aid-mrm4>3.0.co;2-k
  29. 10.1002/mrm.22450 · doi:10.1002/mrm.22450
  30. 10.1002/jmri.10432 · doi:10.1002/jmri.10432
  31. 10.1111/joa.12133 · doi:10.1111/joa.12133
  32. 10.1007/s003300050547 · doi:10.1007/s003300050547
  33. 10.1002/mrm.24186 · doi:10.1002/mrm.24186
  34. 10.1016/j.bone.2013.01.027 · doi:10.1016/j.bone.2013.01.027
  35. 10.1002/nbm.1631 · doi:10.1002/nbm.1631
  36. Blain E, 2011, Sports injuries, 45
  37. 10.1016/j.orthres.2004.06.016 · doi:10.1016/j.orthres.2004.06.016
  38. 10.1002/jor.1100120205 · doi:10.1002/jor.1100120205
  39. 10.1148/radiol.12111439 · doi:10.1148/radiol.12111439
  40. 10.1016/j.joca.2012.01.009 · doi:10.1016/j.joca.2012.01.009
  41. 10.1016/j.jbiomech.2010.01.020 · doi:10.1016/j.jbiomech.2010.01.020
  42. 10.1007/s00256-013-1738-9 · doi:10.1007/s00256-013-1738-9
  43. 10.1002/jmri.22810 · doi:10.1002/jmri.22810
  44. Sanal HT, 2011, Magnetic resonance imaging of the temporomandibular joint disc: feasibility of novel quantitative magnetic resonance evaluation using histologic and biomechanical reference standards, J Orofac Pain, 25, 345
  45. 10.3109/03008200903349639 · doi:10.3109/03008200903349639
  46. 10.1136/ard.2003.019182 · doi:10.1136/ard.2003.019182
  47. 10.1111/j.1600-0838.1997.tb00124.x · doi:10.1111/j.1600-0838.1997.tb00124.x
  48. 10.1016/j.crad.2007.12.010 · doi:10.1016/j.crad.2007.12.010
  49. 10.1016/S0006-3495(90)82508-X · doi:10.1016/s0006-3495(90)82508-x
  50. 10.1007/s00330-013-2897-8 · doi:10.1007/s00330-013-2897-8
  51. 10.3109/03008208909103905 · doi:10.3109/03008208909103905
  52. 10.1002/(SICI)1522-2594(200001)43:1<34::AID-MRM5>3.0.CO;2-7 · doi:10.1002/(sici)1522-2594(200001)43:1<34::aid-mrm5>3.0.co;2-7
  53. 10.1148/radiol.12121181 · doi:10.1148/radiol.12121181
  54. 10.1002/mrm.1910340502 · doi:10.1002/mrm.1910340502
  55. 10.1016/j.ejrad.2013.10.014 · doi:10.1016/j.ejrad.2013.10.014

Cited by

See all 276

Metadata

Authors
Chang, E. Y., Du, J., & Chung, C. B.
Venue
Journal of Magnetic Resonance Imaging
Publisher
Wiley
Published
2014-07-16
Volume
41
Issue
4
Pages
870-883
ISSN
  • 1053-1807 (ISSN-L)
  • 1522-2586
DOI
10.1002/jmri.24713
OpenAlex
W1835090478
Cited by
276
References
42
FWCI
7.70
Type
journal article
Language
en
Open access
green
Licence
onlinelibrary.wiley.com/termsAndConditions#vor (vor)
Funders
  • VA Clinical Science Research and Development Service (Career Development Grant 1IK2CX000749 and Merit Award I01CX000625)
  • National Institutes of Health (NIH) (R01DE022068 and R21 AR063894)

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: UTE imaging in the musculoskeletal system. https://app.cochat.ai/papers/10.1002/jmri.24713
The paper
Chang, E. Y., Du, J., & Chung, C. B. (2015). UTE imaging in the musculoskeletal system. Journal of Magnetic Resonance Imaging. https://doi.org/10.1002/jmri.24713

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.