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A particle filter approach to respiratory motion estimation in nuclear medicine imaging

Abd Rahni, AA, Lewis, E, Guy, MJ, Goswami, B and Wells, K (2011) A particle filter approach to respiratory motion estimation in nuclear medicine imaging IEEE Transactions on Nuclear Science, 58 (5 PART). pp. 2276-2285.

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Abstract

With the continual improvement in spatial resolution of Nuclear Medicine (NM) scanners, it has become increasingly important to accurately compensate for patient motion during image acquisition. Respiratory motion produced by normal lung ventilation is a major source of artefacts in NM emission imaging that can affect large parts of the abdominal thoracic cavity. As such, a particle filter (PF) is proposed as a powerful method for motion correction in emission imaging which can successfully account for previously unseen motion. This paper explores a basic PF approach and demonstrates that it is possible to estimate temporally non-stationary motion using training data consisting of only a single respiratory cycle. Evaluation using the XCAT phantom suggests that the PF is a highly promising approach, and can appropriately handle the complex data that arises in clinical situations.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
AuthorsEmailORCID
Abd Rahni, AAUNSPECIFIEDUNSPECIFIED
Lewis, EUNSPECIFIEDUNSPECIFIED
Guy, MJUNSPECIFIEDUNSPECIFIED
Goswami, BUNSPECIFIEDUNSPECIFIED
Wells, KUNSPECIFIEDUNSPECIFIED
Date : 2011
Identification Number : 10.1109/TNS.2011.2162158
Additional Information : © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Depositing User : Symplectic Elements
Date Deposited : 01 Apr 2014 10:42
Last Modified : 26 Sep 2014 13:33
URI: http://epubs.surrey.ac.uk/id/eprint/805193

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