Heterogeneous multifrequency direct inversion (HMDI) for magnetic resonance elastography with application to a clinical brain exam

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dc.citation.epage188en_US
dc.citation.spage180en_US
dc.citation.volumeNumber46en_US
dc.contributor.authorBarnhill, E.en_US
dc.contributor.authorDavies, P. J.en_US
dc.contributor.authorAriyurek, C.en_US
dc.contributor.authorFehlner, A.en_US
dc.contributor.authorBraun, J.en_US
dc.contributor.authorSack, I.en_US
dc.date.accessioned2019-02-21T16:01:49Z
dc.date.available2019-02-21T16:01:49Z
dc.date.issued2018en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractA new viscoelastic wave inversion method for MRE, called Heterogeneous Multifrequency Direct Inversion (HMDI), was developed which accommodates heterogeneous elasticity within a direct inversion (DI) by incorporating first-order gradients and combining results from a narrow band of multiple frequencies. The method is compared with a Helmholtz-type DI, Multifrequency Dual Elasto-Visco inversion (MDEV), both on ground-truth Finite Element Method simulations at varied noise levels and a prospective in vivo brain cohort of 48 subjects ages 18-65. In simulated data, MDEV recovered background material within 5% and HMDI within 1% of prescribed up to SNR of 20 dB. In vivo HMDI and MDEV were then combined with segmentation from SPM to create a fully automated “brain palpation” exam for both whole brain (WB), and brain white matter (WM), measuring two parameters, the complex modulus magnitude |G*|, which measures tissue “stiffness” and the slope of |G*| values across frequencies, a measure of viscous dispersion. |G*| values for MDEV and HMDI were comparable to the literature (for a 3-frequency set centered at 50 Hz, WB means were 2.17 and 2.15 kPa respectively, and WM means were 2.47 and 2.49 kPa respectively). Both methods showed moderate correlation to age in both WB and WM, for both |G*| and |G*| slope, with Pearson's r ≥ 0.4 in the most sensitive frequency sets. In comparison to MDEV, HMDI showed better preservation of recovered target shapes, more noise-robustness, and stabler recovery values in regions with rapid property change, however summary statistics for both methods were quite similar. By eliminating homogeneity assumptions within a fast, fully automatic, regularization-free direct inversion, HMDI appears to be a worthwhile addition to the MRE image reconstruction repertoire. In addition to supporting the literature showing decrease in brain viscoelasticity with age, our work supports a wide range of inter-individual variation in brain MRE results.
dc.description.provenanceMade available in DSpace on 2019-02-21T16:01:49Z (GMT). No. of bitstreams: 1 Bilkent-research-paper.pdf: 222869 bytes, checksum: 842af2b9bd649e7f548593affdbafbb3 (MD5) Previous issue date: 2018en
dc.description.sponsorshipThe authors are grateful to Lyam Hollis and the University of Edinburgh for the Finite Element Method simulations, and for correspondence with: Dr. Kristy Tan and Dr. Mark Wagshul of Albert Einstein School of Medicine; Dr. Mila Nikolova, CNRS; Dr. Monika Bahl, IIT Delhi; and Dr. Armando Manduca, Mayo Clinic. The authors are further grateful for support from: EU FORCE (Horizon 2020, PHC-11-2015), German Research Foundation (Sa901/17, Br 2235/8), and the Bundesministerium für Bildung und Forschung ( BMBF 01GQ1408 ).
dc.embargo.release2020-03-17en_US
dc.identifier.doi10.1016/j.media.2018.03.003
dc.identifier.issn1361-8415
dc.identifier.urihttp://hdl.handle.net/11693/49924
dc.language.isoEnglish
dc.publisherElsevier B.V.
dc.relation.isversionofhttps://doi.org/10.1016/j.media.2018.03.003
dc.relation.projectHorizon 2020, PHC-11-2015 - Mayo Clinic - Bundesministerium für Bildung und Forschung, BMBF: BMBF 01GQ1408 - University of Edinburgh - Deutsche Forschungsgemeinschaft, DFG: Sa901/17, Br 2235/8 - Einstein-Mount Sinai Diabetes Research Center, Albert Einstein College of Medicine, ES-DRC, AECOM - Indian Institute of Technology Delhi, IIITD - Centre National de la Recherche Scientifique, CNRS
dc.source.titleMedical Image Analysisen_US
dc.subjectElastographyen_US
dc.subjectInverse problemsen_US
dc.subjectMagnetic resonance elastographyen_US
dc.subjectMagnetic resonance imagingen_US
dc.subjectViscoelasticityen_US
dc.titleHeterogeneous multifrequency direct inversion (HMDI) for magnetic resonance elastography with application to a clinical brain examen_US
dc.typeArticleen_US

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