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Comparison of multicenter MRI protocols for visualizing the spinal cord gray matter
J. Cohen-Adad, E. Alonso-Ortiz, S. Alley, MM. Lagana, F. Baglio, SJ. Vannesjo, H. Karbasforoushan, M. Seif, AC. Seifert, J. Xu, JW. Kim, R. Labounek, L. Vojtíšek, M. Dostál, J. Valošek, RS. Samson, F. Grussu, M. Battiston, CAM. Gandini...
Jazyk angličtina Země Spojené státy americké
Typ dokumentu časopisecké články, Research Support, N.I.H., Extramural, práce podpořená grantem
Grantová podpora
FDN-143263
CIHR - Canada
K01 NS105160
NINDS NIH HHS - United States
R&D 03/10/RAG0449
Department of Health - United Kingdom
PubMed
35476875
DOI
10.1002/mrm.29249
Knihovny.cz E-zdroje
- MeSH
- bílá hmota * diagnostické zobrazování MeSH
- krční mícha * MeSH
- lidé MeSH
- magnetická rezonanční tomografie metody MeSH
- mícha diagnostické zobrazování MeSH
- multicentrické studie jako téma MeSH
- počítačové zpracování obrazu metody MeSH
- šedá hmota diagnostické zobrazování MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Research Support, N.I.H., Extramural MeSH
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.
Brain MRI 3T Research Center C Mondino National Neurological Institute Pavia Italy
Central European Institute of Technology Masaryk University Brno Czech Republic
Department of Brain and Behavioral Sciences University of Pavia Pavia Italy
Department of Physics Norwegian University of Science and Technology Trondheim Norway
Department of Radiology and Nuclear Medicine University Hospital Brno Brno Czech Republic
e Health Center Universitat Oberta de Catalunya Barcelona Spain
Functional Neuroimaging Unit CRIUGM University of Montreal Montreal Canada
Interdepartmental Neuroscience Program Northwestern University School of Medicine Chicago IL USA
IRCCS Fondazione Don Carlo Gnocchi ONLUS Milan Italy
Mila Quebec AI Institute Montreal Canada
MR Clinical Development Philips North America Gainesville FL USA
MR Clinical Science Philips Canada Mississauga Canada
MR Clinical Science Philips UK Surrey UK
NeuroPoly Lab Institute of Biomedical Engineering Polytechnique Montreal Montreal Canada
Spinal Cord Injury Center Balgrist University Hospital University of Zurich Zurich Switzerland
Citace poskytuje Crossref.org
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