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

Identifikátory výsledku

  • Kód výsledku v 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>

  • Nalezeny alternativní kódy

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

  • Výsledek na webu

    <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>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

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

  • Popis výsledku v původním jazyce

    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.

  • Název v anglickém jazyce

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

  • Popis výsledku anglicky

    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.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    20601 - Medical engineering

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/NV18-04-00159" target="_blank" >NV18-04-00159: Využití pokročilých magneticko-rezonančních technik k odhalení patofyziologie a zlepšení diagnostiky a praktického managementu degenerativní komprese krční míchy</a><br>

  • Návaznosti

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

Ostatní

  • Rok uplatnění

    2022

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    Magnetic Resonance in Medicine

  • ISSN

    0740-3194

  • e-ISSN

    1522-2594

  • Svazek periodika

    88

  • Číslo periodika v rámci svazku

    2

  • Stát vydavatele periodika

    US - Spojené státy americké

  • Počet stran výsledku

    11

  • Strana od-do

    849-859

  • Kód UT WoS článku

    000788389000001

  • EID výsledku v databázi Scopus

    2-s2.0-85129196754