Li Chen

Efficient and rapid generation of high-quality CT images from CBCT using a flow matching model.

BACKGROUND Generating high-quality CT images from cone-beam computed tomography (CBCT) is critical for clinical applications such as online adaptive radiotherapy (ART). Although deep learning methods, including diffusion models, have shown remarkable advances, persistent challenges remain in terms of image quality and...