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Sampling Technique for Fourier Convolution Theorem Based k-space Filtering
  • +4
  • Carlo Ciulla,
  • Ilva Xhaferri,
  • Fadi P. Deek,
  • Endri Muzhaqi,
  • Dimitar Veljanovski,
  • Ustijana Rechkoska Shikoska,
  • Filip A. Risteski
Carlo Ciulla

Corresponding Author:[email protected]

Author Profile
Ilva Xhaferri
Fadi P. Deek
Endri Muzhaqi
Dimitar Veljanovski
Ustijana Rechkoska Shikoska
Filip A. Risteski


Key Findings: The novelty of this research is the sampling technique used to determine the Sinc-shaped convolving function. The sampling technique uses a k-space region which spatial extent can be fine-tuned by the numerical values of bandwidth and sampling rate so to determine the strength of the k-space filter. The benefit for Magnetic Resonance Imaging is k-space filters with additional parameters usable to fine-tune the filter strength.