Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/36129
Title: QUANTITATIVE ELASTICITY IMAGING AND SOFT TISSUE CHARACTERIZATION USING TAGGED MAGNETIC RESONANCE IMAGING
Authors: FU YABO
Keywords: Elastography, Tagged MRI, inverse problem, tissue characterization
Issue Date: 15-Aug-2012
Source: FU YABO (2012-08-15). QUANTITATIVE ELASTICITY IMAGING AND SOFT TISSUE CHARACTERIZATION USING TAGGED MAGNETIC RESONANCE IMAGING. ScholarBank@NUS Repository.
Abstract: Magnetic Resonance (MR) elastography is a promising non-invasive method to quantitatively determine the mechanical properties of biological tissue. A novel quasi-static MR elastography imaging system, including new image acquisition system, tagged MR image processing software and inverse elasticity algorithms, is presented in this thesis. The new image acquisition system uses a MR compatible actuator to produce a tissue indentation sequence according to simulated electrocardiograph (ECG) signal. Conventional harmonic phase (HARP) image processing technique is extended for large motion tracking during indentation. Adaptive windowed harmonic phase (AWHARP) is proposed for rapid and accurate strain calculation from tagged MR images. A probabilistic approach was introduced to approximate heterogeneity of liver tissue from diverting stress-strain data, and a novel material stiffness reconstruction method was developed assuming hyperelastic liver tissue. Efficiency and accuracy of this quasi-static approach for quantitative elasticity imaging was demonstrated via extensive imaging experiments.
URI: http://scholarbank.nus.edu.sg/handle/10635/36129
Appears in Collections:Ph.D Theses (Open)

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