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A guide to advanced MRI processing for clinical glioma research
- Authors :
- Clement, P.
Beun, S.
Arzanforoosh, F.
Castellaro, M.
Debiasi, G.
Emblem, K. E.
Fuster-Garcia, E.
Grech-Sollars, M.
Kallehauge, J. F.
Lazen, P.
Nunes, R. G.
Ozturk-Isik, E.
Pinto, J.
Piskin, S.
Robinson, S. D.
Siugzdaite, R.
Sollmann, N.
Fløgstad Svensson, S.
Warnert, E. A. H.
Wiegers, E.
(0000-0002-3201-6002) Petr, J.
Hangel, G.
Clement, P.
Beun, S.
Arzanforoosh, F.
Castellaro, M.
Debiasi, G.
Emblem, K. E.
Fuster-Garcia, E.
Grech-Sollars, M.
Kallehauge, J. F.
Lazen, P.
Nunes, R. G.
Ozturk-Isik, E.
Pinto, J.
Piskin, S.
Robinson, S. D.
Siugzdaite, R.
Sollmann, N.
Fløgstad Svensson, S.
Warnert, E. A. H.
Wiegers, E.
(0000-0002-3201-6002) Petr, J.
Hangel, G.
- Source :
-
- Publication Year :
- 2024
-
Abstract
- Todate,multipleadvancedmagneticresonanceimaging(MRI)methodsbeyondconventionalqualitativestructuralimagingforthediagnosis,prognosis,andtreatmentfollow-upofgliomahavedemonstratedtheirutilityforclinicalstudies.However,thesemethodsoftenrelyoncomplexoff-scannerprocessingtoyieldthemostinformationandtoextractquantitativebiomarkers,limitingtheirpracticaluseforstudies,aswellastheirclinicaltranslation.Whilecommunity-drivensoftwaresolutionsexistfortheseadvancedMRImethods,manyaspiringclinicalresearchersfacechallengesinacquiringthenecessaryknowledgetoeffectivelyapplythesetools.Thisguide,aninitiativeoftheGliomaMRimaging2.0network(GliMR),aimstoprovideanoverviewofexistingsolutions,communities,andrepositorieswiththeultimategoalofenablingstandardization,openscience,andreproduciblequantitativeimagingstudiesofgliomas.Yet,mostofthereviewedtoolsandapproachestoimagedataanalysesmayalsobeusedinthecontextofstudiesondiseasesotherthanglioma.
Details
- Database :
- OAIster
- Journal :
- <a href="
- Notes :
- application/pdf, English
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.on1456321458
- Document Type :
- Electronic Resource