Matches in SemOpenAlex for { <https://semopenalex.org/work/W3022759552> ?p ?o ?g. }
- W3022759552 endingPage "757" @default.
- W3022759552 startingPage "751" @default.
- W3022759552 abstract "<h3>SUMMARY:</h3> Conventional MR imaging techniques are sensitive to pathologic changes of the brain and spinal cord seen in MS, but they lack specificity for underlying axonal and myelin integrity. By isolating the signal contribution from different tissue compartments, newly developed advanced multicompartment diffusion MR imaging models have the potential to detect specific tissue subtypes and associated injuries with increased pathologic specificity. These models include neurite orientation dispersion and density imaging, diffusion basis spectrum imaging, multicompartment microscopic diffusion MR imaging with the spherical mean technique, and models enabled through high-gradient diffusion MR imaging. In this review, we provide an appraisal of the current literature on the physics principles, histopathologic validation, and clinical applications of each of these techniques in both brains and spinal cords of patients with MS. We discuss limitations of each of the methods and directions that future research could take to provide additional validation of their roles as biomarkers of axonal and myelin injury in MS." @default.
- W3022759552 created "2020-05-13" @default.
- W3022759552 creator A5038716313 @default.
- W3022759552 creator A5040297847 @default.
- W3022759552 creator A5048477473 @default.
- W3022759552 creator A5056838937 @default.
- W3022759552 date "2020-04-30" @default.
- W3022759552 modified "2023-10-16" @default.
- W3022759552 title "Advanced Multicompartment Diffusion MRI Models and Their Application in Multiple Sclerosis" @default.
- W3022759552 cites W1597940528 @default.
- W3022759552 cites W1965000453 @default.
- W3022759552 cites W1975017507 @default.
- W3022759552 cites W2006322519 @default.
- W3022759552 cites W2021173709 @default.
- W3022759552 cites W2032254014 @default.
- W3022759552 cites W2047062145 @default.
- W3022759552 cites W2049683591 @default.
- W3022759552 cites W2050873013 @default.
- W3022759552 cites W2060757311 @default.
- W3022759552 cites W2104878804 @default.
- W3022759552 cites W2112165124 @default.
- W3022759552 cites W2118879132 @default.
- W3022759552 cites W2122542523 @default.
- W3022759552 cites W2122662954 @default.
- W3022759552 cites W2129456656 @default.
- W3022759552 cites W2148353419 @default.
- W3022759552 cites W2168661252 @default.
- W3022759552 cites W2171821866 @default.
- W3022759552 cites W2252614221 @default.
- W3022759552 cites W2413955537 @default.
- W3022759552 cites W2508982726 @default.
- W3022759552 cites W2571611893 @default.
- W3022759552 cites W2614895229 @default.
- W3022759552 cites W2734984108 @default.
- W3022759552 cites W2740076256 @default.
- W3022759552 cites W2747366609 @default.
- W3022759552 cites W2760933032 @default.
- W3022759552 cites W2789795746 @default.
- W3022759552 cites W2791373308 @default.
- W3022759552 cites W2798885694 @default.
- W3022759552 cites W2842921401 @default.
- W3022759552 cites W2890639228 @default.
- W3022759552 cites W2892666713 @default.
- W3022759552 cites W2901466843 @default.
- W3022759552 cites W2911658427 @default.
- W3022759552 cites W2925382460 @default.
- W3022759552 cites W2968484774 @default.
- W3022759552 cites W2979163295 @default.
- W3022759552 cites W838115849 @default.
- W3022759552 doi "https://doi.org/10.3174/ajnr.a6484" @default.
- W3022759552 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7228182" @default.
- W3022759552 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32354707" @default.
- W3022759552 hasPublicationYear "2020" @default.
- W3022759552 type Work @default.
- W3022759552 sameAs 3022759552 @default.
- W3022759552 citedByCount "24" @default.
- W3022759552 countsByYear W30227595522020 @default.
- W3022759552 countsByYear W30227595522021 @default.
- W3022759552 countsByYear W30227595522022 @default.
- W3022759552 countsByYear W30227595522023 @default.
- W3022759552 crossrefType "journal-article" @default.
- W3022759552 hasAuthorship W3022759552A5038716313 @default.
- W3022759552 hasAuthorship W3022759552A5040297847 @default.
- W3022759552 hasAuthorship W3022759552A5048477473 @default.
- W3022759552 hasAuthorship W3022759552A5056838937 @default.
- W3022759552 hasBestOaLocation W30227595521 @default.
- W3022759552 hasConcept C118552586 @default.
- W3022759552 hasConcept C126838900 @default.
- W3022759552 hasConcept C134018914 @default.
- W3022759552 hasConcept C142724271 @default.
- W3022759552 hasConcept C143409427 @default.
- W3022759552 hasConcept C149550507 @default.
- W3022759552 hasConcept C169760540 @default.
- W3022759552 hasConcept C2778609137 @default.
- W3022759552 hasConcept C2780640218 @default.
- W3022759552 hasConcept C2780775167 @default.
- W3022759552 hasConcept C2781192897 @default.
- W3022759552 hasConcept C2992283565 @default.
- W3022759552 hasConcept C529278444 @default.
- W3022759552 hasConcept C71924100 @default.
- W3022759552 hasConcept C86803240 @default.
- W3022759552 hasConceptScore W3022759552C118552586 @default.
- W3022759552 hasConceptScore W3022759552C126838900 @default.
- W3022759552 hasConceptScore W3022759552C134018914 @default.
- W3022759552 hasConceptScore W3022759552C142724271 @default.
- W3022759552 hasConceptScore W3022759552C143409427 @default.
- W3022759552 hasConceptScore W3022759552C149550507 @default.
- W3022759552 hasConceptScore W3022759552C169760540 @default.
- W3022759552 hasConceptScore W3022759552C2778609137 @default.
- W3022759552 hasConceptScore W3022759552C2780640218 @default.
- W3022759552 hasConceptScore W3022759552C2780775167 @default.
- W3022759552 hasConceptScore W3022759552C2781192897 @default.
- W3022759552 hasConceptScore W3022759552C2992283565 @default.
- W3022759552 hasConceptScore W3022759552C529278444 @default.
- W3022759552 hasConceptScore W3022759552C71924100 @default.
- W3022759552 hasConceptScore W3022759552C86803240 @default.
- W3022759552 hasFunder F4320306080 @default.
- W3022759552 hasFunder F4320306161 @default.