J 2022

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

COHEN-ADAD, Julien, Eva ALONSO-ORTIZ, Stephanie ALLEY, Maria Marcella LAGANA, Francesca BAGLIO et. al.

Základní údaje

Originální název

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

Autoři

COHEN-ADAD, Julien, Eva ALONSO-ORTIZ, Stephanie ALLEY, Maria Marcella LAGANA, Francesca BAGLIO, Signe Johanna VANNESJO, Haleh KARBASFOROUSHAN, Maryam SEIF, Alan C SEIFERT, Junqian XU, Joo-Won KIM, Rene LABOUNEK, Lubomír VOJTÍŠEK (203 Česká republika, garant, domácí), Marek DOSTAL, Jan VALOSEK, Rebecca S SAMSON, Francesco GRUSSU, Marco BATTISTON, Claudia A M Gandini WHEELER-KINGSHOTT, Marios C YIANNAKAS, Guillaume GILBERT, Torben SCHNEIDER, Brian JOHNSON a Ferran PRADOS

Vydání

MAGNETIC RESONANCE IN MEDICINE, HOBOKEN, WILEY-BLACKWELL, 2022, 0740-3194

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30224 Radiology, nuclear medicine and medical imaging

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Impakt faktor

Impact factor: 3.300

Kód RIV

RIV/00216224:14740/22:00127895

Organizační jednotka

Středoevropský technologický institut

UT WoS

000788389000001

Klíčová slova anglicky

acquisition; gray matter; image quality; MRI; protocol; spinal cord

Štítky

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 11. 1. 2023 16:30, Mgr. Pavla Foltynová, Ph.D.

Anotace

V originále

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 qualitatively scored 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.