Deep Learning Filter Replacement for Sparse-View CBCT Reconstruction: A Comparative Study of Image-Domain Residual U-Net Enhancement and Projection-Domain Learnable Filtering within Differentiable Feldkamp–Davis–Kress Algorithm
Conventional filtered backprojection with a fixed Ram-Lak filter in cone-beam CT (CBCT) reconstruction method often amplifies noise and streak artifacts under sparse-view acquisition, limiting image quality for image-guided radiotherapy. This study investigat...
Poster Program · Diagnostic and Interventional Radiology Physics