Comput Methods Programs Biomed - Parametric-based brain Magnetic Resonance Elastography using a Rayleigh damping material model.

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Resumo

The three-parameter Rayleigh damping (RD) model applied to time-harmonic Magnetic Resonance Elastography (MRE) has potential to better characterise fluid-saturated tissue systems. However, it is not uniquely identifiable at a single frequency. One solution to this problem involves simultaneous inverse problem solution of multiple input frequencies over a broad range. As data is often limited, an alternative elegant solution is a parametric RD reconstruction, where one of the RD parameters (?I or I) is globally constrained allowing accurate identification of the remaining two RD parameters. This research examines this parametric inversion approach as applied to in vivo brain imaging. Overall, success was achieved in reconstruction of the real shear modulus (?R) that showed good correlation with brain anatomical structures. The mean and standard deviation shear stiffness values of the white and gray matter were found to be 3?0.11kPa and 2.2?0.11kPa, respectively, which are in good agreement with values established in the literature or measured by mechanical testing. Parametric results with globally constrained ?I indicate that selecting a reasonable value for the ?I distribution has a major effect on the reconstructed I image and concomitant damping ratio (d). More specifically, the reconstructed I image using a realistic ?I=333Pa value representative of a greater portion of the brain tissue showed more accurate differentiation of the ventricles within the intracranial matter compared to ?I=1000Pa, and d reconstruction with ?I=333Pa accurately captured the higher damping levels expected within the vicinity of the ventricles. Parametric RD reconstruction shows potential for accurate recovery of the stiffness characteristics and overall damping profile of the in vivo living brain despite its underlying limitations. Hence, a parametric approach could be valuable with RD models for diagnostic MRE imaging with single frequency data.

Resumo Limpo

threeparamet rayleigh damp rd model appli timeharmon magnet reson elastographi mre potenti better characteris fluidsatur tissu system howev uniqu identifi singl frequenc one solut problem involv simultan invers problem solut multipl input frequenc broad rang data often limit altern eleg solut parametr rd reconstruct one rd paramet global constrain allow accur identif remain two rd paramet research examin parametr invers approach appli vivo brain imag overal success achiev reconstruct real shear modulus r show good correl brain anatom structur mean standard deviat shear stiff valu white gray matter found kpa kpa respect good agreement valu establish literatur measur mechan test parametr result global constrain indic select reason valu distribut major effect reconstruct imag concomit damp ratio d specif reconstruct imag use realist ipa valu repres greater portion brain tissu show accur differenti ventricl within intracrani matter compar ipa d reconstruct ipa accur captur higher damp level expect within vicin ventricl parametr rd reconstruct show potenti accur recoveri stiff characterist overal damp profil vivo live brain despit under limit henc parametr approach valuabl rd model diagnost mre imag singl frequenc data

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