Abstract
In this chapter, we will consider Fourier-based reconstruction as is found in magnetic resonance imaging (MRI). We will see how gradient fields are used to encode the signals with spatial information and how a Fourier transform can then be used to recover a 2D or 3D image. We will explore some of the surprising consequences of this for image resolution and field of view.
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- 1.
The description in this book separates the two processes of frequency encoding and phase encoding, arguably both involve the phase of the received signal and (some would argue) should both be called phase encoding. But, it is somewhat easier to name them differently to emphasis their different roles in acquiring samples from k-space, and thus that convention has been adopted here.
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Chappell, M. (2019). Fourier Reconstruction—MRI. In: Principles of Medical Imaging for Engineers. Springer, Cham. https://doi.org/10.1007/978-3-030-30511-6_9
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DOI: https://doi.org/10.1007/978-3-030-30511-6_9
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-030-30511-6
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