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Dataset Information

Limited-angle computed tomography with deep image and physics priors.


ABSTRACT: Computed tomography is a well-established x-ray imaging technique to reconstruct the three-dimensional structure of objects. It has been used extensively in a variety of fields, from diagnostic imaging to materials and biological sciences. One major challenge in some applications, such as in electron or x-ray tomography systems, is that the projections cannot be gathered over all the angles due to the sample holder setup or shape of the sample. This results in an ill-posed problem called the limited angle reconstruction problem. Typical image reconstruction in this setup leads to distortion and artifacts, thereby hindering a quantitative evaluation of the results. To address this challenge, we use a generative model to effectively constrain the solution of a physics-based approach. Our app

SUBMITTER: Barutcu S 

PROVIDER: S-EPMC8421356 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature