k-Space & Data Processing
Joseba Alonso1
1Spanish National Research Council (CSIC, Q2818002D), Spain

Synopsis

Keywords: Physics & Engineering: Physics, Image acquisition: Reconstruction

These slides are for an introductory course to k-space and data sampling. This teaching material has been designed for non-experts, and we have strived to keep mathematical formalisms to the bare minimum.

Introduction

General thoughts on images and their connection to spatial information

Spatial information encoding

On the role of magnetic gradient fields for spatial information encoding in MRI

Image reconstruction

On the role of spectral analysis tools (Fourier transforms) to decode spatial information and reconstruct images from MRI signals

Acknowledgements

No acknowledgement found.

References

No reference found.
Proc. Intl. Soc. Mag. Reson. Med. 32 (2024)