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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, 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 and Ferran PRADOS. Comparison of multicenter MRI protocols for visualizing the spinal cord gray matter. MAGNETIC RESONANCE IN MEDICINE. HOBOKEN: WILEY-BLACKWELL, 2022, vol. 88, No 2, p. 849-859. ISSN 0740-3194. Available from: https://dx.doi.org/10.1002/mrm.29249.

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TY  - JOUR
ID  - 2245580
AU  - Cohen-Adad, Julien - Alonso-Ortiz, Eva - Alley, Stephanie - Lagana, Maria Marcella - Baglio, Francesca - Vannesjo, Signe Johanna - Karbasforoushan, Haleh - Seif, Maryam - Seifert, Alan C - Xu, Junqian - Kim, Joo-Won - Labounek, Rene - Vojtíšek, Lubomír - Dostal, Marek - Valosek, Jan - Samson, Rebecca S - Grussu, Francesco - Battiston, Marco - Wheeler-Kingshott, Claudia A M Gandini - Yiannakas, Marios C - Gilbert, Guillaume - Schneider, Torben - Johnson, Brian - Prados, Ferran
PY  - 2022
TI  - Comparison of multicenter MRI protocols for visualizing the spinal cord gray matter
JF  - MAGNETIC RESONANCE IN MEDICINE
VL  - 88
IS  - 2
SP  - 849-859
EP  - 849-859
PB  - WILEY-BLACKWELL
SN  - 07403194
KW  - acquisition
KW  - gray matter
KW  - image quality
KW  - MRI
KW  - protocol
KW  - spinal cord
UR  - https://onlinelibrary.wiley.com/doi/10.1002/mrm.29249
N2  - 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.
ER  -

Basic information
Original name	Comparison of multicenter MRI protocols for visualizing the spinal cord gray matter
Authors	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 Czech Republic, guarantor, belonging to the institution), 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 and Ferran PRADOS.
Edition	MAGNETIC RESONANCE IN MEDICINE, HOBOKEN, WILEY-BLACKWELL, 2022, 0740-3194.

Other information
Original language	English
Type of outcome	Article in a journal
Field of Study	30224 Radiology, nuclear medicine and medical imaging
Country of publisher	United States of America
Confidentiality degree	is not subject to a state or trade secret
WWW	URL
Impact factor	Impact factor: 3.300
RIV identification code	RIV/00216224:14740/22:00127895
Organization unit	Central European Institute of Technology
Doi	http://dx.doi.org/10.1002/mrm.29249
UT WoS	000788389000001
Keywords in English	acquisition; gray matter; image quality; MRI; protocol; spinal cord
Tags	rivok
Tags	International impact, Reviewed
Changed by	Changed by: Mgr. Pavla Foltynová, Ph.D., učo 106624. Changed: 11/1/2023 16:30.

Abstract
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.

Abstract

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.