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KIT – University of the State of Baden-Württemberg and National Laboratory of the Helmholtz Association www.kit.edu Institute for Data Processing and Electronics.

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Presentation on theme: "KIT – University of the State of Baden-Württemberg and National Laboratory of the Helmholtz Association www.kit.edu Institute for Data Processing and Electronics."— Presentation transcript:

1 KIT – University of the State of Baden-Württemberg and National Laboratory of the Helmholtz Association www.kit.edu Institute for Data Processing and Electronics Introducing Xiaoli Yang “Optimization of Algebraic Reconstruction Methods on Parallel Computing Architecture”

2 22 Who am I ? Bachelor 2004 – 2008 Electronic Science and Technology Master 2008 – 2011 Electronics Engineering Career 2011, 3m Software- Programming PhD 2011 – 2015 Electronics Engineering (CSC) Xiaoli Yang My education

3 33 Professional Interests Research Computer tomography Low-dose X-ray CT reconstruction Optimization mehtods Image quality assessment Parallel computing technique Technologies Algebraic reconstruction technique (ART) Compressive sampling (CS) theory Regularizations: total variation (TV), wavelet transform, … Parameter determination: L-curve Hadoop cluster for parallel computing

4 44 Reconstruction algorithms/solvers Project: X-ray CT reconstruction at ANKA Parameter determination min ||Ax-b|| 2 + λ ||x|| TV Solver: conjugate gradient L-curve Paper (to be published) Few-view reconstruction of beetle and frog embryo Parallel computing and automatic implementation Parallel beam: 2D  3D Hadoop cluster Automatic implementation

5 55 The Future What is missing? Advanced solvers - fast convergence - Optimized for task Regularizations - TV, wavelet, … - Affects on reconstruction? Real 3D reconstruction - Large system matrix - intensive computing Forward model - Imaging geometry - motion blurring of fast tomography Applications - ANKA X-ray tomography - Electron microscopy tomography - Others …

6 66 The Future What is missing? Motion blurring correction for fast tomography Application in On which new technologies or research trends we need to keep an eye on?

7 77 Project Optimization of the algebraic tomographic reconstruction Reconstruction on the parallel computing architecture Data Source: ANKA (sparsely sampling ) Data Source: ANKA (sparsely sampling ) Reconstruction Optimization Parallel Computing Algorithm development Computing structure with Hadoop TVAL 3 TwIST CGTV Manual Parallelization Automatic Implementation

8 88 The Future What is missing? Advanced solvers - fast convergence - Optimized for task Regularizations - TV, wavelet, … - Affect on reconstruction? Real 3D reconstruction - Large system matrix - intensive computing Forward model - Imaging geometry - motion blurring of fast tomography Resolution improvements - Multi-scale resolution - Multi-grid method Applications - ANKA X-ray tomography - Electron microscopy tomography - Others …

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