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Acceleration Strategies for Data Sampling in MRI

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Quantification of Biophysical Parameters in Medical Imaging

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Abstract

Magnetic resonance imaging (MRI) is a highly versatile imaging technique widely used in clinical practice. It can provide anatomical images with excellent soft tissue contrast and quantitative measurements of motion and flow. In addition, microscopic tissue structures such as neurological pathways and heart muscle fiber orientation can be assessed. One of the main challenges of MRI is long acquisition times to ensure high spatial and/or temporal resolution and full 3D coverage of the region of interest.

This chapter will give an overview of how the MR signal is created and spatially encoded and how image information can be reconstructed from this raw data. Furthermore, approaches which reduce scan times by making data acquisition faster or by reducing the amount of required raw data will be discussed.

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Authors and Affiliations

  1. Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany

    Christoph Kolbitsch & Tobias Schaeffter

  2. Division of Imaging Sciences and Biomedical Engineering, King’s College London, London, UK

    Christoph Kolbitsch & Tobias Schaeffter

Authors
  1. Christoph Kolbitsch
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  2. Tobias Schaeffter
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Correspondence to Christoph Kolbitsch .

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Editors and Affiliations

  1. Department of Radiology, Humboldt University of Berlin Charité University Hospital, Berlin, Germany

    Ingolf Sack

  2. Medical Physics and Metrological Information Technology, Physikalisch-Technische Bundesanstalt , Berlin, Germany

    Tobias Schaeffter

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Kolbitsch, C., Schaeffter, T. (2018). Acceleration Strategies for Data Sampling in MRI. In: Sack, I., Schaeffter, T. (eds) Quantification of Biophysical Parameters in Medical Imaging. Springer, Cham. https://doi.org/10.1007/978-3-319-65924-4_8

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  • DOI: https://doi.org/10.1007/978-3-319-65924-4_8

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