Particle Tracking with Neighbourhood Similarities: A New Method for Super Resolution Ultrasound Imaging

Andrew Mobberley; Georgios Papageorgiou; Mairead Butler; Evangelos Kanoulas; Julian Keanie; Daniel Good; Kevin Gallagher; Alan McNeil; Vassilis Sboros; Weiping Lu

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Paper

Particle Tracking with Neighbourhood Similarities: A New Method for Super Resolution Ultrasound Imaging

Topics: Image Processing Methods; Medical Imaging and Diagnosis; Ultrasound and Optical Imaging

In Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOSTEC, 29-40, 2023 , Lisbon, Portugal

Authors: Andrew Mobberley ¹ ; Georgios Papageorgiou ¹ ; Mairead Butler ¹ ; Evangelos Kanoulas ² ; Julian Keanie ³ ; Daniel Good ³ ; Kevin Gallagher ³ ; Alan McNeil ³ ; Vassilis Sboros ¹ and Weiping Lu ¹

Affiliations: ¹ Institute of Biological Chemistry, Biophysics and Bioengineering, Heriot Watt University, Edinburgh, U.K. ; ² Janssen Pharmaceuticals R&D, High Wycombe, U.K. ; ³ Western General Hospital, Edinburgh, U.K.

Keyword(s): Super Resolution Ultrasound Imaging, Particle Tracking, Microbubbles.

Abstract: Single particle tracking (SPT) is a method for the observation of the motion of individual particles within a medium. It is broadly used to quantify the dynamics of particle flow, such as molecules/proteins in life sciences. In this paper, we will improve the performance of SPT by considering the local neighbourhood dynamical and structural information of a particle when it is tracked in a medium through consecutive frames, referred to as particle tracking with neighbourhood similarities (PTNS). This method is applied to track microbubbles in contrast enhanced ultrasound. We will test the method on synthetic data for method validation before applying to animal and human prostate data. We show that PTNS can make a significant improvement in the tracking performance in synthetic data, and in animal data it was able to accurately produce complex structures. In human prostate data, we find that by varying the control parameters we can inspect different behaviours of the tracks and from t hat understand the characteristics of the blood vessels they travel along. (More)

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Paper citation in several formats:

Mobberley, A.; Papageorgiou, G.; Butler, M.; Kanoulas, E.; Keanie, J.; Good, D.; Gallagher, K.; McNeil, A.; Sboros, V. and Lu, W. (2023). Particle Tracking with Neighbourhood Similarities: A New Method for Super Resolution Ultrasound Imaging. In Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - BIOIMAGING; ISBN 978-989-758-631-6; ISSN 2184-4305, SciTePress, pages 29-40. DOI: 10.5220/0011613900003414

@conference{bioimaging23,
author={Andrew Mobberley. and Georgios Papageorgiou. and Mairead Butler. and Evangelos Kanoulas. and Julian Keanie. and Daniel Good. and Kevin Gallagher. and Alan McNeil. and Vassilis Sboros. and Weiping Lu.},
title={Particle Tracking with Neighbourhood Similarities: A New Method for Super Resolution Ultrasound Imaging},
booktitle={Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - BIOIMAGING},
year={2023},
pages={29-40},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011613900003414},
isbn={978-989-758-631-6},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - BIOIMAGING
TI - Particle Tracking with Neighbourhood Similarities: A New Method for Super Resolution Ultrasound Imaging
SN - 978-989-758-631-6
IS - 2184-4305
AU - Mobberley, A.
AU - Papageorgiou, G.
AU - Butler, M.
AU - Kanoulas, E.
AU - Keanie, J.
AU - Good, D.
AU - Gallagher, K.
AU - McNeil, A.
AU - Sboros, V.
AU - Lu, W.
PY - 2023
SP - 29
EP - 40
DO - 10.5220/0011613900003414
PB - SciTePress