Challenges in Medical Imaging: Numerics, High Performance Computing, Inverse Problems

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Challenges in Medical Imaging: Numerics, High Performance Computing, Inverse Problems

 21 - 23 Apr 2014

University of Strathclyde

Scientific Organiser:

  • Victorita Dolean Maini, University of Strathclyde

About:

Microwave tomography is a novel, early stage development way of imaging with a number of potentially attractive medical applications. In particular, microwave imaging (MI) of the human head has attracted a significant research interest in the latest years mainly oriented on the design of antenna elements and arrays, imaging using ultra-wide band radar techniques, and real-time monitoring. The accurate reconstruction of the properties of the head tissues relies heavily on precise mathematical and numerical modeling of the interaction between electromagnetic waves and the human body in high frequency regime.

The three challenges addressed by these applications are methodological and numerical development robust inversion tools, development of general parallel open source simulation codes and the design of antenna elements and arrays and simulations using anatomical phantoms

The aim of this workshop was to gather specialists on numerical methods, high performance computing, inverse problems and microwave imaging.

Speakers

  • Christian Pichot, Université de Nice Sophia-Antipolis - Challenges in Microwave Imaging for Medical Applications

  • Ian Craddock, University of Bristol - Future Directions in Microwave Inverse Scattering for Medical Imaging

  • Karina Kubiak-Ossowska, University of Strathclyde - ARCHIE-WeSt: A HPC Platform for Numerical Modelling and Data Analysis

  • Dorn Oliver, University of Manchester - Level Set Methods for Shape Reconstruction in Inverse Wave Problems

  • Francis Watson, University of Manchester - SVD Analysis of GPR Full-Waveform Inversion

  • Svenja Schoeder, Technische Universität München - A Photoacoustic Image Reconstruction Algorithm Based on the Hybridizable Discontinuous Galerkin Method for Acoustic Wave Propagation

  • Markus Grote, University of Basel - High-Order Explicit Local Time-Stepping Methods For Wave Propagation

  • Frederic Nataf, Laboratory J.L. Lions - Time Reversed Absorbing Condition

  • Marie Kray, University of Basel - A New Approach to Solve the Inverse Scattering Problem for the Wave Equation

  • Simon Arridge, University College London - Modelling and Reconstruction in PhotoAcoustic Imaging

  • Tony Mulholland, University of Strathclyde - The Detection, Imaging, and Sizing of Flaws in Heterogeneous Media Using Ultrasound

  • Ivan Graham, University of Bath - On Shifted Laplace and Related Preconditioners for Finite Element Approximations of the Helmholtz Equation

  • Frederic Hecht, Université Pierre et Marie Curie - Scalable Domain Decomposition Preconditioners in FreeFem++

  • Christophe Geuzaine, University of Liège - A Quasi-Optimal Non-Overlapping Domain Decomposition Algorithm for the Time-Harmonic Maxwell Equations

  • Alexandre Vion, University of Liege - Parallel Double Sweep Preconditioner for the Optimized Schwarz Algorithm Applied to High Frequency Helmholtz and Maxwell Equations

  • Mohammed Mahmood, Heriot Watt University - Robust PUFEM for 3D Elastic Wave Scattering Numerical Modelling

  • Rolf Krause, Università della Svizzera Italiana - A Coarse Space for Heterogeneous Helmholtz Problems Based on the Dirichlet-to-Neumann Operator

  • Richard Pasquetti, Université de Nice Sophia-Antipolis - High Order Finite Elements for Partial Differential Equations : the Fekete-Gauss Approach

  • Martin Gander, University of Geneva - Iterative Methods Helmholtz and Maxwell Problems

Sponsors and Funders:

This workshop is sponsored by the Centre for Numerical Algorithms and Intelligent Software.