Sunrise Session
Hands-On: Image Reconstruction
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Session Topic: Hands-on Physics and Engineering Sunrise Q&A
Session Sub-Topic: Hands-On: Image Reconstruction
Sunrise Session
ORGANIZERS: Mariya Doneva
| Thursday Parallel 5 Live Q&A | Thursday, 13 August 2020, 15:50 - 16:35 UTC | Moderators: |
Skill Level: Basic to Intermediate
Session Number: S-Th-08
Overview
The objective of this course is to give a hands-on training on advanced image reconstruction techniques. Two reconstruction methods will be described in a step-by-step software demonstration discussing the basic principles and the common pitfalls of writing image reconstruction software.
Target Audience
Scientists interested in MR image reconstruction.
Educational Objectives
As a result of attending this course, participants should be able to:
- Identify the main steps of building an MRI reconstruction prototype; and
- Explain the main principles and common pitfalls of writing image reconstruction software.
| Step-by-Step Iterative SENSE Reconstruction
Zhaolin Chen
This presentation provides a step by step illustration of iterative SENSE reconstruction in parallel imaging. Iterative SENSE reconstruction is an important image reconstruction method and can be considered as a building block for many advanced reconstructions algorithms.
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| Step-by-Step Reconstruction Using Learned Dictionaries
Jon Tamir
Compressed sensing introduced sparse representation of signals under a sparsifying transform, enabling significant reductions in number of measurements for signal reconstruction. In the context of MRI, this has led to dramatic reductions in scan time. Dictionary learning builds off of compressed sensing and tailors the sparsifying transform to the data itself. By learning both the dictionary and the sparse representation, further scan time reductions are possible. This talk will introduce dictionary learning for MRI reconstruction through hands-on software examples.
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