E³ 220 - Artificial intelligence for image reconstruction: towards deep imaging?

  • 2 Lectures
  • 30 Minutes
  • 2 Speakers

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Lectures

1
E3 220 - A. Deep learning for MRI reconstruction

E3 220 - A. Deep learning for MRI reconstruction

14:18K. Hammernik, London / UK

Learning Objectives
1. To show how with deep learning we can learn the entire MRI reconstruction procedure.
2. To understand the advantages and disadvantages of using deep learning in MRI reconstruction.
3. To show the application of deep learning in the reconstruction of MRI musculoskeletal images.

2
E3 220 - B. Deep learning in cardiovascular MRI

E3 220 - B. Deep learning in cardiovascular MRI

14:28D. Rueckert, London / UK

Learning Objectives
1. To understand how MRI acquisition time can be reduced with deep learning.
2. To understand potential artefacts related to deep learning based image reconstruction.
3. To show applications of deep learning in the reconstruction of cardiovascular MRI data.

Speakers

Presenter

Kerstin Hammernik

London,

Presenter

Daniel Rueckert

London, United Kingdom

Artificial Intelligence

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