Iterative reconstruction from limited angle, limited view projections for cryo-electron tomography

Sally Wood, Ernesto Fontenl, Chris Metzler, Wah Chiu, Richard G. Baraniuk

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

Abstract

Improved accurate measurement models and improved iterative reconstruction algorithms would benefit cryo-electron tomography (cryo-ET) performance. Filtered back- projection and related algorithms, successful in CT and MRI, assume a measurement model which is not well matched to the limited range of projection angles, large angular increments, and incomplete projections in cryo-ET. Iterative methods, such as compressed sensing (CS) can include irregular measurement models and spatial extent constraints, and have great potential for solution of severely under-determined systems. This paper uses source models with square and pyramidal basis functions and variable finite width aperture measurement to compare space domain and frequency domain CS reconstruction approaches in the cryo-ET context.

Original languageEnglish (US)
Title of host publicationConference Record - Asilomar Conference on Signals, Systems and Computers
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages760-764
Number of pages5
Volume2016-February
ISBN (Print)9781467385763
DOIs
StatePublished - Feb 26 2016
Event49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 - Pacific Grove, United States
Duration: Nov 8 2015Nov 11 2015

Other

Other49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
CountryUnited States
CityPacific Grove
Period11/8/1511/11/15

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

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