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Robustness of recursive Bayesian estimation of respiratory motion with inter-cycle variation

Abd Rahni, AA, Lewis, E and Wells, K (2013) Robustness of recursive Bayesian estimation of respiratory motion with inter-cycle variation

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Abstract

Compensation of respiratory motion has been identified as a crucial factor in achieving high resolution Nuclear Medicine (NM) imaging. Many motion correction approaches have been studied and they are seen to have advantages over simpler motion compensation approaches such as respiratory gating. However, all motion correction approaches rely on an assumption or estimation of respiratory motion. This paper builds upon previous work in recursive Bayesian estimation (RBE) of respiratory motion assuming stereo camera observation of external respiratory motion. In this paper, additional stereo-camera derived XCAT cycles are used to evaluate the robustness of RBE with inter-cycle variation. © 2013 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Authors :
NameEmailORCID
Abd Rahni, AAUNSPECIFIEDUNSPECIFIED
Lewis, Ee.lewis@surrey.ac.ukUNSPECIFIED
Wells, Kk.wells@surrey.ac.ukUNSPECIFIED
Date : 1 January 2013
Identification Number : 10.1109/NSSMIC.2013.6829269
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:18
Last Modified : 17 May 2017 15:10
URI: http://epubs.surrey.ac.uk/id/eprint/838712

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