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Motion-Based Technical Skills Assessment in Transoesophageal Echocardiography

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Medical Imaging and Augmented Reality (MIAR 2016)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9805))

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Abstract

This paper presents a novel approach for evaluating technical skills in Transoesophageal Echocardiography (TEE). Our core assumption is that operational competency can be objectively expressed by specific motion-based measures. TEE experiments were carried out with an augmented reality simulation platform involving both novice trainees and expert radiologists. Probe motion data were collected and used to formulate various kinematic parameters. Subsequent analysis showed that statistically significant differences exist among the two groups for the majority of the metrics investigated. Experts exhibited lower completion times and higher average velocity and acceleration, attributed to their refined ability for efficient and economical probe manipulation. In addition, their navigation pattern is characterised by increased smoothness and fluidity, evaluated through the measures of dimensionless jerk and spectral arc length. Utilised as inputs to well-known clustering algorithms, the derived metrics are capable of discriminating experience levels with high accuracy (>84 %).

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Author information

Authors and Affiliations

  1. Centre for Medical Image Computing, University College London, London, UK

    Evangelos B. Mazomenos, Francisco Vasconcelos & Danail Stoyanov

  2. St George’s University Hospitals, NHS Foundation Trust, London, UK

    Jeremy Smelt, Marjan Jahangiri & Susan Wright

  3. St Bartholomew’s Hospitals, NHS Foundation Trust, London, UK

    Bruce Martin & Andrew Smith

  4. Glassworks Ltd, London, UK

    Henry Prescott

Authors
  1. Evangelos B. Mazomenos
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  2. Francisco Vasconcelos
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  3. Jeremy Smelt
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  4. Henry Prescott
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  5. Marjan Jahangiri
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  6. Bruce Martin
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  7. Andrew Smith
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  8. Susan Wright
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  9. Danail Stoyanov
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Corresponding author

Correspondence to Evangelos B. Mazomenos .

Editor information

Editors and Affiliations

  1. Institute for Surgical Technology, University of Bern, Bern, Switzerland

    Guoyan Zheng

  2. Tsinghua University, Tokyo, Japan

    Hongen Liao

  3. Faculte de Medicine, Universite de Rennes 1, Rennes Cedex, France

    Pierre Jannin

  4. University of Basel, Allschwil, Switzerland

    Philippe Cattin

  5. Hamlyn Centre, Imperial College London, London, United Kingdom

    Su-Lin Lee

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© 2016 Springer International Publishing Switzerland

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Mazomenos, E.B. et al. (2016). Motion-Based Technical Skills Assessment in Transoesophageal Echocardiography. In: Zheng, G., Liao, H., Jannin, P., Cattin, P., Lee, SL. (eds) Medical Imaging and Augmented Reality. MIAR 2016. Lecture Notes in Computer Science(), vol 9805. Springer, Cham. https://doi.org/10.1007/978-3-319-43775-0_9

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  • DOI: https://doi.org/10.1007/978-3-319-43775-0_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-43774-3

  • Online ISBN: 978-3-319-43775-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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