What is the role of Fourier transform and k-space in MRI signal acquisition?

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SUMMARY

The discussion centers on the role of the Fourier transform and k-space in MRI signal acquisition. The signal is initially acquired in k-space, which represents spatial frequency information, and is subsequently reverse Fourier transformed to reconstruct the image in the spatial domain. A spatially varying magnetic field induces a corresponding variation in Larmor frequency, allowing for the inference of radiation source information. Understanding these concepts is essential for anyone involved in MRI coil design and image reconstruction.

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  • Fourier Transform fundamentals
  • K-space representation in MRI
  • Larmor frequency concepts
  • Magnetic resonance imaging principles
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  • Explore k-space sampling techniques in MRI
  • Investigate the relationship between Larmor frequency and spatial resolution
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I just started doing research in MRI coil design for my professor and I'm trying to figure out some basic concepts. In particular, how does the Fourier transform and k-space play a role in the signal acquisition? From my reading, I just know that somehow the signal is acquired in k space and is reverse Fourier transformed back into spatial domain to produce the image. Any help or links would be appreciated.

Thanks,
Shak
 
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This will be covered in any basic treatment of image reconstruction with magnetic resonance imaging.

Very briefly, a spatially varying magnetic field is applied which causes a spatially varying Larmor frequency. Thus information about the source of radiation can be inferred from the frequency of that radiation.

As you may or may not know, for EM radiation the angular frequency \omega = ck, so frequency f, angular frequency \omega, and k (the wavenumber or magnitude of the wavevector), may all be used somewhat interchangeably.
 

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