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