A Mathematical Model for Extremely Low Dose Adaptive Computed Tomography Acquisition

نویسندگان

  • Oren Barkan
  • Amir Averbuch
  • Shai Dekel
  • Yaniv Tenzer
چکیده

— We propose a mathematical model for adaptive Computed Tomography acquisition whose goal is to radically reduce dosage levels. The theoretical foundation of the algorithm is nonlinear Ridgelet approximation. We show experimental results where the adaptive model produces significantly higher image quality, when compared with known non-adaptive acquisition algorithms, for the same number of projection lines.

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تاریخ انتشار 2012