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Comparison of multicenter MRI protocols for visualizing the spinal cord gray matter

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00098892%3A_____%2F22%3A10157273" target="_blank" >RIV/00098892:_____/22:10157273 - isvavai.cz</a>

  • Alternative codes found

    RIV/65269705:_____/22:00076137 RIV/00216224:14740/22:00127895

  • Result on the web

    <a href="https://onlinelibrary.wiley.com/doi/10.1002/mrm.29249" target="_blank" >https://onlinelibrary.wiley.com/doi/10.1002/mrm.29249</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1002/mrm.29249" target="_blank" >10.1002/mrm.29249</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Comparison of multicenter MRI protocols for visualizing the spinal cord gray matter

  • Original language description

    Purpose: Spinal cord gray-matter imaging is valuable for a number of applications, but remains challenging. The purpose of this work was to compare various MRI protocols at 1.5 T, 3 T, and 7 T for visualizing the gray matter. Methods: In vivo data of the cervical spinal cord were collected from nine different imaging centers. Data processing consisted of automatically segmenting the spinal cord and its gray matter and co-registering back-to-back scans. We computed the SNR using two methods (SNR_single using a single scan and SNR_diff using the difference between back-to-back scans) and the white/gray matter contrast-to-noise ratio per unit time. Synthetic phantom data were generated to evaluate the metrics performance. Experienced radiologists qualitativelyscored the images. We ran the same processing on an open-access multicenter data set of the spinal cord MRI (N = 267 participants). Results: Qualitative assessments indicated comparable image quality for 3T and 7T scans. Spatial resolution was higher at higher field strength, and image quality at 1.5 T was found to be moderate to low. The proposed quantitative metrics were found to be robust to underlying changes to the SNR and contrast; however, the SNR_single method lacked accuracy when there were excessive partial-volume effects. Conclusion: We propose quality assessment criteria and metrics for gray-matter visualization and apply them to different protocols. The proposed criteria and metrics, the analyzed protocols, and our open-source code can serve as a benchmark for future optimization of spinal cord gray-matter imaging protocols.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20601 - Medical engineering

Result continuities

  • Project

    <a href="/en/project/NV18-04-00159" target="_blank" >NV18-04-00159: Advanced magnetic resonance techniques to disclose pathophysiology and improve diagnosis and clinical management of degenerative cervical cord compression</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Magnetic Resonance in Medicine

  • ISSN

    0740-3194

  • e-ISSN

    1522-2594

  • Volume of the periodical

    88

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    11

  • Pages from-to

    849-859

  • UT code for WoS article

    000788389000001

  • EID of the result in the Scopus database

    2-s2.0-85129196754