Sparse angle cbct reconstruction based on guided image filtering

HIGHLIGHTS

• who: Siyuan Xu from the School of Automation, University of Electronic Science and Technology of China, Chengdu, China, Department of have published the research work: Sparse Angle CBCT Reconstruction Based on Guided Image Filtering, in the Journal: (JOURNAL)
• how: This paper proposes a sparse angle CBCT reconstruction algorithm based on guided image filtering (GIF) which can suppress noise and artifacts while well preserving edges and restoring texture. Repeat steps -(6) until the iteration termination condition is met and the reconstruction result is obtained. The image reconstructed based on TpV minimization is much better suppresses artifacts . . .
  

   

  

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