@inproceedings{b5a8878da681457989d1a796b3fa8823,
title = "Dynamic Tomography Reconstruction by Projection-Domain Separable Modeling",
abstract = "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.",
keywords = "Bilinear, Dynamic tomography, Partially-separable, Unique recovery",
author = "Berk Iskender and Yoram Bresler and Klasky, {Marc L.}",
note = "This research was supported in part by Los Alamos National Labs under Subcontract No. 599416/CW13995.; 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, IVMSP 2022 ; Conference date: 26-06-2022 Through 29-06-2022",
year = "2022",
doi = "10.1109/IVMSP54334.2022.9816298",
language = "English (US)",
series = "IVMSP 2022 - 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "IVMSP 2022 - 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop",
address = "United States",
}