A guide to advanced MRI processing for clinical glioma research

Clement, Patricia; Beun, Soetkin; Arzanforoosh, Fatemehsadat; Castellaro, Marco; Debiasi, Giulia; Emblem, Kyrre E.; Fuster-Garcia, Elies; Grech-Sollars, Matthew; Kallehauge, Jesper Folsted; Lazen, Philipp; Nunes, Rita G.; Ozturk-Isik, Esin; Pinto, Joana; Piskin, Senol; Robinson, Simon Daniel; Siugzdaite, Roma; Sollmann, Nico; Fløgstad Svensson, Siri; Warnert, Esther A. H.; Wiegers, Evita; Petr, Jan; Hangel, Gilbert

A guide to advanced MRI processing for clinical glioma research

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.; Petr, J.; Hangel, G.

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.

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Contribution to WWW
https://osf.io/preprints/psyarxiv/rh4md
DOI: 10.31234/osf.io/rh4md

Permalink: https://www.hzdr.de/publications/Publ-38856