SYSTEM AND METHOD FOR MAGNETIC RESONANCE ELASTOGRAPHY

    公开(公告)号:US20240099603A1

    公开(公告)日:2024-03-28

    申请号:US18526806

    申请日:2023-12-01

    Applicant: Q Bio, Inc.

    CPC classification number: A61B5/055 G01R33/341 G01R33/56358 G06T7/0012

    Abstract: A system for MR Elastography of a sample, including ultrasound gel to sheath the sample, a vessel to accept the flow of the sample sheathed in ultrasound gel, a sensor array adapted to capture an ultrasound measurement and an MR measurement, wherein the sensor array including an ultrasound transmitter and an ultrasound receiver, and the sensor array is coupled to the vessel, and the vessel is capable of mechanical conductance between the ultrasound transducers, and the ultrasound gel, and a pump to create a pressure based flow of ultrasound fluid through the vessel and move the sample in proximity to the sensor array for capture of MR and ultrasound measurements of the sample as the sheathed sample passes by the sensor array.

    Magnetic resonance imaging based on transient response signals

    公开(公告)号:US11933869B2

    公开(公告)日:2024-03-19

    申请号:US17271726

    申请日:2019-08-28

    Abstract: A method for magnetic resonance imaging (MRI) comprises applying a consecutive series of MRI sequences to a target volume (V) according to experimental settings (TR, α, β). A discrete sequence of transient response signals (Sn, Sn+1, Sn+2) is measured and fitted to a fit function (F) that is continuously dependent on a sequence number (n) of the respective MRI sequence (Pn) and corresponding response signal (Sn). A shape of the fit function is determined according to an analytically modelled evolution by the experimental parameters (TR, α, β) as well as variable intrinsic parameters (r, λ3, φ, δ) to be fitted. For example, the model is based on an equivalent harmonic oscillator. The intrinsic parameters of the fit function can be related to the intrinsic properties (PD, T1, T2) of the spin systems and used for imaging the target volume (V). Various optimizations of contrast can be achieved by tuning the experimental settings according to the model.

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