Fast and accurate sparse-view CBCT reconstruction using meta-learned neural attenuation field and hash-encoding regularization.
Heejun ShinTaehee KimJongho LeeSe Young ChunSeungryung ChoDongmyung ShinPublished in: CoRR (2023)
Keyphrases
- projection images
- cone beam
- x ray
- cone beam ct
- prostate cancer
- ct images
- compressive sensing
- soft tissue
- image quality
- image reconstruction
- noise level
- radon transform
- three dimensional
- reconstruction method
- computed tomography
- discrete tomography
- high quality
- clinical data
- motion compensated
- sparse representation
- tomographic reconstruction
- radiation therapy
- computer tomography
- image data
- image processing