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Previous projects

 

 

  • Applications:

    • Hyperpolarized gas lung MRI

    • Prospective and retrospective cardiac cine

    • Contrast-enhanced MRI

    • fMRI

    • Tagged-MRI

  • Optimum undersampling patterns 

  • Tailored and efficient reconstruction methods

  • Real implementation on a small-animal scanner

compressed sensing MRI
compressed sensing CT

  • Applications:

    • Respiratory gated-CT

    • Radiation dose reduction  

    • Limited view reconstruction

    • Contrast-enhanced CT

  • Influence of dose and number of projections

  • Tailored and efficient reconstruction methods

Reconstruction methods

  • Tailored reconstruction methods for each application:

    • Simultaneous motion and image reconstruction

    • Fast spatiotemporal total variation

    • Prior-based reconstruction

    • Optimum sparsifying transforms

  • Optimum and computationally efficient algorithms: 

    • Constrained optimization 

    • Efficient implementations using the Split Bregman formulation and fast forward solvers

PET image reconstruction

4D PET image reconstruction methods

Fluorescence diffuse optical tomography

  • Noninvasive small animal imaging using fDOT

  • Influence of scattering and absorption on the quantification of fDOT 

  • Reconstruction methods:

    • Positivity constraint

    • Efficient algorithms for convex optimization, such as Split Bregman and others split operator methods

  • Hybrid fDOT and x-ray computed tomography system

Anisotropic EIT

  • Validation of a finite element solution for anisotropic media

  • Accurate numerical head model taking on account white matter and skull anisotropy: Assessment on forward and inverse problems

  • Rank analysis for the recovery of a conductivity tensor in anisotropic media

  • Recovery of the anisotropic conductivity tensor with known eigenvectors

EIT of brain function

  • Electrical Impedance Tomography for imaging brain function

  • Optimum selection of the regularization parameter for linear reconstruction of time difference data

  • Modelling of different variances and correlations using a general covariance of the noise

  • Principal component analysis for noise reduction

 

Eddy current imaging

  • Eddy-current non-destructive testing for detecting defects within a metal structure

  • Assessment of inner, outer, and through-wall void defects

  • Void defects modelled using a level set function

  • Shape reconstruction using a gradient-based level set method

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