| Preface |
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| Author biographies |
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1 | (1) |
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1 | (1) |
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1.2 UMOT in the context of optical contrast imaging |
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2 | (9) |
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1.2.1 History of quantitative optical contrast recovery with UMOT |
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4 | (1) |
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1.2.2 Overview of work on quantitative ultrasound-modulated optical tomography |
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5 | (6) |
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1.3 A brief overview of the work |
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11 | (1) |
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12 | |
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2 Localized measurement of dynamics and mechanical properties |
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1 | (1) |
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1 | (1) |
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2 | (6) |
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2.2.1 Model describing the dynamics of the ROI |
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2 | (2) |
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2.2.2 Modified generalized Langevin equation |
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4 | (1) |
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2.2.3 Solution of the Langevin equation |
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5 | (3) |
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2.3 Extraction of correlation decay introduced by Brownian particles in the ROI |
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8 | (6) |
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2.3.1 Computing the decay in modulation on amplitude autocorrelation |
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8 | (3) |
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2.3.2 Detection and estimation of liquid flow through a capillary hidden in a turbid medium |
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11 | (3) |
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14 | (15) |
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2.4.1 Recovery of visco-elastic spectra from an inhomogeneous tissue-like object |
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14 | (6) |
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2.4.2 Detection and estimation of liquid flow through capillary |
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20 | (9) |
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29 | (1) |
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2.5.1 DWS in an inhomogeneous object |
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29 | (1) |
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2.5.2 Detection and estimation of flow in a hidden capillary |
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30 | (1) |
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30 | |
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3 Mechanical property distribution from optical measurement of resonant ultrasound spectrum |
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1 | (1) |
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1 | (1) |
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3.2 Young's modulus recovery from measured natural frequency of vibration of ultrasound focal region |
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2 | (11) |
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3.2.1 Force distribution in the focal region of the ultrasound transducer |
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3 | (1) |
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3.2.2 Ultrasound-induced pressure distribution in the focal region |
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3 | (1) |
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3.2.3 Experimental verification of the shape of the focal volume |
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4 | (1) |
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3.2.4 Determination of the boundary of the vibrating ROI |
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4 | (4) |
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3.2.5 Transport of information from the ROI using coherent light |
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8 | (1) |
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9 | (4) |
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3.3 Recovery of elasticity distribution in an inhomogeneous object |
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13 | (1) |
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3.3.1 Theoretical formulation of the direct reconstruction problem |
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14 | (1) |
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3.3.2 Momentum-balance equation |
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15 | (1) |
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3.3.3 Estimation of Young's modulus distribution through minimizing the error functional |
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16 | (1) |
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3.3.4 Experiments using tissue-equivalent phantoms |
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17 | (8) |
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3.3.5 Conclusions 3-24 References |
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4 Quantitative vibro-acoustography from measurement of modal frequencies: characterisation of isotropic and orthotopic tissue-like objects |
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1 | (1) |
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1 | (1) |
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4.2 Quantitative vibro-acoustography and measurement of resonant modes of region of interest |
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2 | (6) |
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4.2.1 Propagation equation for the vibro-acoustic wave |
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3 | (2) |
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4.2.2 Computation of natural frequencies |
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5 | (3) |
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4.3 Experiment to measure the natural frequencies |
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8 | (7) |
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8 | (5) |
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4.3.2 Determination of the first natural frequency of the region-of-interest |
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13 | (1) |
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4.3.3 Recovery of shear modulus from the natural frequency and discussion of results |
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14 | (1) |
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4.4 Measurement of natural frequencies by ultrasound-assisted diffusing wave spectroscopy |
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15 | (2) |
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4.4.1 Stochastic resonance |
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17 | (6) |
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4.4.2 Array-enhanced stochastic resonance in the context of ultrasound-assisted diffusing-wave spectroscopy |
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23 | (4) |
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27 | (10) |
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4.4.4 Results and discussion 4-34 4.5 Concluding remarks |
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37 | (3) |
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40 | |
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5 Light diffusion from non-spherical particles: rotational diffusion micro-rheology using ultrasound-assisted diffusing-wave spectroscopy |
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1 | (1) |
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1 | (2) |
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5.2 Light scattering from an ensemble of particles with shape anisotropy |
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3 | (3) |
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5.3 Numerical simulation of the particle dynamics |
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6 | (2) |
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8 | (1) |
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5.5 Results and discussions |
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8 | (6) |
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5.5.1 Recovery of shape and size parameters |
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8 | (1) |
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5.5.2 Recovery of mean-squared displacement and visco-elastic spectrum |
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9 | (5) |
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14 | (1) |
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15 | |
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1 | (1) |
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A Internal noise driven generalized Langevin equation to model the dynamics of scattering centres in ultrasound focal volume |
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1 | (1) |
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B Reconstruction based on stochastic evolution |
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1 | |
