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An iterative particle filter approach for respiratory motion estimation in nuclear medicine imaging

Abd Rahni, AA, Wells, K, Lewis, E, Goswami, B and Guy, M (2011) An iterative particle filter approach for respiratory motion estimation in nuclear medicine imaging

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Abstract

The continual improvement in spatial resolution of Nuclear Medicine (NM) scanners has made accurate compensation of patient motion increasingly important. A major source of corrupting motion in NM acquisition is due to respiration. Therefore a particle filter (PF) approach has been proposed as a powerful method for motion correction in NM. The probabilistic view of the system in the PF is seen as an advantage that considers the complexity and uncertainties in estimating respiratory motion. Previous tests using XCAT has shown the possibility of estimating unseen organ configuration using training data that only consist of a single respiratory cycle. This paper augments application specific adaptation methods that have been implemented for better PF estimates with an iterative model update step. Results show that errors are further reduced to an extent up to a small number of iterations and such improvements will be advantageous for the PF to cope with more realistic and complex applications. © 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :
AuthorsEmailORCID
Abd Rahni, AAUNSPECIFIEDUNSPECIFIED
Wells, KUNSPECIFIEDUNSPECIFIED
Lewis, EUNSPECIFIEDUNSPECIFIED
Goswami, BUNSPECIFIEDUNSPECIFIED
Guy, MUNSPECIFIEDUNSPECIFIED
Date : 2011
Identification Number : 10.1117/12.878086
Additional Information : Copyright 2011 Proc. SPIE 7962, Medical Imaging 2011: Image Processing. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. Ashrani Aizzuddin Abd. Rahni, Kevin Wells, Emma Lewis, Matthew Guy, Budhaditya Goswami, "An iterative particle filter approach for respiratory motion estimation in nuclear medicine imaging", Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 79624C (2011); doi:10.1117/12.878086
Depositing User : Symplectic Elements
Date Deposited : 24 Jan 2014 11:51
Last Modified : 09 Jun 2014 13:50
URI: http://epubs.surrey.ac.uk/id/eprint/804788

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