Dynamic Tomography Reconstruction by Projection-Domain Separable Modeling
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | , , |
|---|---|
| Format: | Preprint |
| Publié: |
2022
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866916109131710464 |
|---|---|
| author | Iskender, Berk Klasky, Marc L. Bresler, Yoram |
| author_facet | Iskender, Berk Klasky, Marc L. Bresler, Yoram |
| contents | In dynamic tomography the object undergoes changes while projections are being acquired sequentially in time. The resulting inconsistent set of projections cannot be used directly to reconstruct an object corresponding to a time instant. Instead, the objective is to reconstruct a spatio-temporal representation of the object, which can be displayed as a movie. We analyze conditions for unique and stable solution of this ill-posed inverse problem, and present a recovery algorithm, validating it experimentally. We compare our approach to one based on the recently proposed GMLR variation on deep prior for video, demonstrating the advantages of the proposed approach. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2204_09935 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | Dynamic Tomography Reconstruction by Projection-Domain Separable Modeling Iskender, Berk Klasky, Marc L. Bresler, Yoram Image and Video Processing Signal Processing In dynamic tomography the object undergoes changes while projections are being acquired sequentially in time. The resulting inconsistent set of projections cannot be used directly to reconstruct an object corresponding to a time instant. Instead, the objective is to reconstruct a spatio-temporal representation of the object, which can be displayed as a movie. We analyze conditions for unique and stable solution of this ill-posed inverse problem, and present a recovery algorithm, validating it experimentally. We compare our approach to one based on the recently proposed GMLR variation on deep prior for video, demonstrating the advantages of the proposed approach. |
| title | Dynamic Tomography Reconstruction by Projection-Domain Separable Modeling |
| topic | Image and Video Processing Signal Processing |
| url | https://arxiv.org/abs/2204.09935 |