Sparse-View X-Ray CT Reconstruction Using $\ell_1$ Prior with Learned Transform

2 Nov 2017Xuehang ZhengIl Yong ChunZhipeng LiYong LongJeffrey A. Fessler

A major challenge in X-ray computed tomography (CT) is reducing radiation dose while maintaining high quality of reconstructed images. To reduce the radiation dose, one can reduce the number of projection views (sparse-view CT); however, it becomes difficult to achieve high-quality image reconstruction as the number of projection views decreases... (read more)

PDF Abstract

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper