Tomographic Image Reconstruction with Julia | Tobias Knopp | JuliaCon2021

This talk was presented as part of JuliaCon2021

Abstract:
In this talk we show how Julia can be used to develop tomographic image reconstruction algorithms. These involve the solution of large scale ill-posed inverse problems where usually the imaging operator does not fit into the main memory and in-turn matrix-free methods need to be applied. The talk captures how Julia has been used to form a package ecosystem for two different tomographic imaging methods and outlines the advantageous compared to mature C/C++ libraries in the field. Check out the packages presented here: MRIReco.jl (https://github.com/MagneticResonanceImaging/MRIReco.jl) and MPIReco.jl (https://github.com/MagneticParticleImaging/MPIReco.jl)

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Contents
00:00 Welcome!
00:20 What is Tomography
01:48 Principle of Tomography explained with Computed Tomography (CT)
02:55 Popular Imaging Modalities
03:35 Imaging Equation
04:20 Image Reconstruction
07:14 State of the Art
08:46 Hybrid Image Reconstruction Platforms
10:27 Design Goals for Julia Package Family
12:45 Reused Existing Julia Packages
14:01 Newly Developed Shared Packages
16:10 Overview of Julia Imaging Packages
16:39 MPIReco.jl: Overview
17:45 MPIReco.jl: Example
18:24 MPIReco.jl: Performance and Accuracy
19:38 Magnetic Particle Imaging (MPI)
20:08 MPIReco.jl: Interface
20:48 Commercial MPI Imager and Online Reconstruction
21:36 Online Reconstruction Example Video
22:03 Dynamic Image Reconstruction in MPI
23:55 Graphical User Interfaces
24:31 GUI Example Video
25:39 Summary and Outlook

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