Optimization of the MR imaging pipeline using simulation

Ivana Drobnjak, Mark Graham, Hui Zhang, Mark Jenkinson

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


Careful optimization of the full imaging pipeline, from data acquisition to post-processing, is a crucial part of any magnetic resonance imaging study. However, testing and optimization of pipelines in the “real world” is expensive and challenging, and hence simulations play a key role in the process. In this chapter, we discuss simulation frameworks and the ways they can be applied to optimize imaging pipelines. We cover examples of the use of simulation to evaluate post-processing algorithms, study imaging artifacts, design and test new acquisition techniques, and to produce data for training machine-learning based post-processing tools.

Original languageEnglish
Title of host publicationBiomedical Image Synthesis and Simulation
Subtitle of host publicationMethods and Applications
Number of pages29
ISBN (Electronic)9780128243497
ISBN (Print)9780128243503
Publication statusPublished - 1 Jan 2022


  • Motion correction
  • MRI
  • Optimization
  • Simulation


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