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Myelin Detection Using Rapid Quantitative MR Imaging Correlated to Macroscopically Registered Luxol Fast Blue-Stained Brain Specimens
Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Heart and Medicine Center, Department of Clinical Physiology in Linköping. Linköping University, Center for Medical Image Science and Visualization (CMIV). SyntheticMR AB, Linkoping, Sweden.
Linköping University, Department of Medical and Health Sciences, Division of Radiological Sciences. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Center for Diagnostics, Department of Radiology in Linköping. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0002-9446-6981
Institute Forens Med, Linkoping, Sweden.
Linköping University, Department of Medical and Health Sciences, Division of Radiological Sciences. Linköping University, Faculty of Medicine and Health Sciences. Linköping University, Center for Medical Image Science and Visualization (CMIV). Institute Forens Med, Linkoping, Sweden; University of Bern, Switzerland.
2017 (English)In: American Journal of Neuroradiology, ISSN 0195-6108, E-ISSN 1936-959X, Vol. 38, no 6, 1096-1102 p.Article in journal (Refereed) Published
Abstract [en]

BACKGROUND AND PURPOSE: Myelin detection is of great value in monitoring diseases such as multiple sclerosis and dementia. However, most MR imaging methods to measure myelin are challenging for routine clinical use. Recently, a novel method was published, in which the presence of myelin is inferred by using its effect on the intra- and extracellular water relaxation rates and proton density, observable by rapid quantitative MR imaging. The purpose of this work was to validate this method further on the brains of 12 fresh, intact cadavers. MATERIALS AND METHODS: The 12 brains were scanned with a quantification sequence to determine the longitudinal and transverse relaxation rates and proton density as input for the myelin estimations. Subsequently, the brains were excised at postmortem examination, and brain slices were stained with Luxol fast blue to verify the presence of myelin. The optical density values of photographs of the stained brain slices were registered with the MR images and correlated with the myelin estimation performed by quantitative MR imaging. RESULTS: A correlation was found between the 2 methods with a mean Spearman for all subjects of 0.74 0.11. Linear regression showed a mean intercept of 1.50% +/- 2.84% and a mean slope of 4.37% +/- 1.73%/%. A lower correlation was found for the separate longitudinal relaxation rates and proton density ( = 0.63 +/- 0.12 and -0.73 +/- 0.09, respectively). For transverse relaxation rates, the was very low (0.11 +/- 0.28). CONCLUSIONS: The observed correlation supports the validity of myelin measurement by using the MR imaging quantification method.

Place, publisher, year, edition, pages
AMER SOC NEURORADIOLOGY , 2017. Vol. 38, no 6, 1096-1102 p.
National Category
Radiology, Nuclear Medicine and Medical Imaging
Identifiers
URN: urn:nbn:se:liu:diva-138910DOI: 10.3174/ajnr.A5168ISI: 000402627400008PubMedID: 28428209OAI: oai:DiVA.org:liu-138910DiVA: diva2:1115869
Available from: 2017-06-27 Created: 2017-06-27 Last updated: 2017-06-27

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Warntjes, Marcel Jan BertusPersson, AndersZech, Wolf-Dieter
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Division of Cardiovascular MedicineFaculty of Medicine and Health SciencesDepartment of Clinical Physiology in LinköpingCenter for Medical Image Science and Visualization (CMIV)Division of Radiological SciencesDepartment of Radiology in Linköping
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American Journal of Neuroradiology
Radiology, Nuclear Medicine and Medical Imaging

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