Explore tomographic image reconstruction algorithms using Julia in this JuliaCon2021 talk. Dive into large-scale ill-posed inverse problems and matrix-free methods for imaging operators. Learn about the Julia package ecosystem for two tomographic imaging methods, comparing advantages to C/C++ libraries. Discover MRIReco.jl and MPIReco.jl packages, and understand tomography principles, imaging equations, and reconstruction techniques. Examine design goals, existing and newly developed packages, and performance metrics. Gain insights into Magnetic Particle Imaging (MPI), online reconstruction, and dynamic image reconstruction. See demonstrations of graphical user interfaces and their applications in tomographic imaging.
Overview
Syllabus
Welcome!.
What is Tomography.
Principle of Tomography explained with Computed Tomography (CT).
Popular Imaging Modalities.
Imaging Equation.
Image Reconstruction.
State of the Art.
Hybrid Image Reconstruction Platforms.
Design Goals for Julia Package Family.
Reused Existing Julia Packages.
Newly Developed Shared Packages.
Overview of Julia Imaging Packages.
MPIReco.jl: Overview.
MPIReco.jl: Example.
MPIReco.jl: Performance and Accuracy.
Magnetic Particle Imaging (MPI).
MPIReco.jl: Interface.
Commercial MPI Imager and Online Reconstruction.
Online Reconstruction Example Video.
Dynamic Image Reconstruction in MPI.
Graphical User Interfaces.
GUI Example Video.
Summary and Outlook.
Taught by
The Julia Programming Language
