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 informationSpatial information encoding
On the role of magnetic gradient fields for spatial information encoding in MRIImage reconstruction
On the role of spectral analysis tools (Fourier transforms) to decode spatial information and reconstruct images from MRI signalsAcknowledgements
No acknowledgement found.References
No reference found.
Proc. Intl. Soc. Mag. Reson. Med. 32 (2024)