Computed tomography reconstruction using deep image prior and learned reconstruction methods

• Published in: Inverse problems Vol. 36; no. 9; pp. 94004 - 94027
• Main Authors: Baguer, Daniel Otero, Leuschner, Johannes, Schmidt, Maximilian
• Format: Journal Article
• Language: English
• Published: IOP Publishing 01.09.2020
• Subjects: computed tomography; deep image prior; deep learning; inverse problems; neural networks

In this paper we describe an investigation into the application of deep learning methods for low-dose and sparse angle computed tomography using small training datasets. To motivate our work we review some of the existing approaches and obtain quantitative results after training them with different...