Μpiu-Net: A Domain-Specific Sinogram Infilling U-Net for Micro-CBCT and the Limitations of Generalized Models
Sparse-view cone-beam computed tomography (CBCT) reduces radiation dose but produces streaking artifacts when reconstructed with conventional algorithms. Deep learning sinogram infilling can address this, but evaluation typically relies on conventional metric...
Poster Program · Diagnostic and Interventional Radiology Physics