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13 - Electrical and Electronic Engineering, Metallurgy and Materials

University of Surrey

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Article title

A Particle Filter Approach to Respiratory Motion Estimation in Nuclear Medicine Imaging

Type

D - Journal article

DOI

10.1109/TNS.2011.2162158

Title of journal

IEEE Transactions on Nuclear Science

Article number

Volume number

Issue number

First page of article

2276

ISSN of journal

1558-1578

Year of publication

2011

URL

Number of additional authors

Additional information

This paper presents the first time that an adaptive approach has been used for motion correction in nuclear medicine imaging. This paper demonstrates that SIR particle filter, combined with an ICP-based registration method, can estimate the ‘unpredictable’ behaviour of internal organ motion caused by normal breathing . Several application-specific adaptations are used, including tracking registration parameters, rather than image volumes, in order to minimise the number of parameters requiring estimation. This work has been presented at invited seminars at UCLH, UMass (USA), and won the Cum Laude award at the 2011 SPIE Medical Imaging conference.

Interdisciplinary

Cross-referral requested

Research group

None

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract