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Performance evaluation of a particle filter framework for respiratory motion estimation in Nuclear Medicine imaging

Rahni, AAA, Lewis, E, Guy, MJ, Goswami, B and Wells, K (2010) Performance evaluation of a particle filter framework for respiratory motion estimation in Nuclear Medicine imaging In: Nuclear Science Symposium and Medical Imaging Conference, 2010-10-30 - 2010-11-06, Knoxville, USA.

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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 acquisition. Respiratory motion produced by lung ventilation is a major source of artefacts in NM 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 NM imaging. This paper explores a basic PF approach and demonstrates that it is possible to estimate non-stationary motion using a single respiratory cycle as training data. Using the XCAT phantom, 7 test datasets that vary in depth and rate of respiration were generated. The results using these datasets show that the PF has an average Euclidean distance error over all voxels of only 1.7 mm, about half of the typical dimensions of an NM voxel for clinical applications. The conclusion is that use of the PF is promising, and can be adapted to handle more sophisticated data such as those that arise in clinical situations.

Item Type: Conference or Workshop Item (Conference Paper)
Subjects : Electronic Engineering
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
AuthorsEmailORCID
Rahni, AAAUNSPECIFIEDUNSPECIFIED
Lewis, EUNSPECIFIEDUNSPECIFIED
Guy, MJUNSPECIFIEDUNSPECIFIED
Goswami, BUNSPECIFIEDUNSPECIFIED
Wells, KUNSPECIFIEDUNSPECIFIED
Date : 2010
Identification Number : 10.1109/NSSMIC.2010.5874276
Contributors :
ContributionNameEmailORCID
PublisherIEEE, UNSPECIFIEDUNSPECIFIED
Additional Information : © 2010 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 : 18 Mar 2016 17:12
Last Modified : 18 Mar 2016 17:12
URI: http://epubs.surrey.ac.uk/id/eprint/771876

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