Dynamic Tomography Reconstruction by Projection-Domain Separable Modeling

Berk Iskender, Yoram Bresler, Marc L. Klasky

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationIVMSP 2022 - 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665478229
DOIs
StatePublished - 2022
Event14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, IVMSP 2022 - Nafplio, Greece
Duration: Jun 26 2022Jun 29 2022

Publication series

NameIVMSP 2022 - 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop

Conference

Conference14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, IVMSP 2022
Country/TerritoryGreece
CityNafplio
Period6/26/226/29/22

Keywords

  • Bilinear
  • Dynamic tomography
  • Partially-separable
  • Unique recovery

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Media Technology

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