Time-resolved cardiac CT reconstruction using the ensemble Kalman filter

A. K. George, M. D. Butala, R. A. Frazin, F. Kamalabadi, Y. Bresler

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

Abstract

We propose an algorithm to solve the problem of Time-Resolved Cardiac Computed Tomography (CT). The algorithm reconstructs a snapshot of the moving heart at any time instant from CT projection data acquired over a single heart-cycle. The object is modeled by a spatio-temporal state-space model, and an ensemble Kalman Filter (a Monte-Carlo approximation to the Kalman filter) is used to assimilate the sequentially acquired projection data. Simulation results of the dynamic NCAT cardiac phantom, under the fan-beam geometry and a two-source CT system, show reconstructions that are free of the motion artifacts that mar conventional methods.

Original languageEnglish (US)
Title of host publication2008 5th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro, Proceedings, ISBI
Pages1489-1492
Number of pages4
DOIs
StatePublished - 2008
Event2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI - Paris, France
Duration: May 14 2008May 17 2008

Publication series

Name2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI

Other

Other2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI
Country/TerritoryFrance
CityParis
Period5/14/085/17/08

Keywords

  • Cardiac
  • Computed tomography
  • Dynamic tomography
  • Kalman filter
  • Time-resolved

ASJC Scopus subject areas

  • Biomedical Engineering

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