Estimation of small motion for dynamic X-ray computed tomography using a general motion model and moments of projections

Gokul Deepak Manavalan, Kasi Rajgopal

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We propose a method for estimation of general (non-rigid) small motion for dynamic computed tomography (CT). In the proposed method we estimate motion parameters of the general motion model from the moments of the dynamic projections, inspired by the Helgason-Ludwig consistency conditions. The non-linear problem of solving a system involving composition of functions is dealt with in the Fourier transform space where it simplifies into a problem involving multiplicatively separable functions. The system is then linearized to solve for object motion. Numerical simulation results are shown for the proposed method for fan-beam geometry. The numerical simulation results show good agreement between estimated and true motion. The proposed method is X-ray dose efficient and does not need other aids such as gating or fiducidal markers.

Original languageEnglish
Title of host publication2016 International Conference on Signal Processing and Communications, SPCOM 2016
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Electronic)9781509017461
DOIs
StatePublished - 16 Nov 2016
Externally publishedYes
Event11th International Conference on Signal Processing and Communications, SPCOM 2016 - Bangalore, India
Duration: 12 Jun 201615 Jun 2016

Publication series

Name2016 International Conference on Signal Processing and Communications, SPCOM 2016

Conference

Conference11th International Conference on Signal Processing and Communications, SPCOM 2016
Country/TerritoryIndia
CityBangalore
Period12/06/1615/06/16

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

Fingerprint

Dive into the research topics of 'Estimation of small motion for dynamic X-ray computed tomography using a general motion model and moments of projections'. Together they form a unique fingerprint.

Cite this