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An Enhanced Object Tracking Algorithm Based on Augmented Reality Markup Language (ARML) for Medical Engineering

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Advanced Machine Learning Technologies and Applications (AMLTA 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1339))

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Abstract

The use of augmented reality technologies in the healthcare sector opens up renewed possibilities. AR in medicine consists predominantly of three technical components, including camera calibration, patient registration, and object tracking. Object tracking assesses the camera or marker's spatial location on surgical instruments and is an integral aspect of a medical RA device. The AR framework must be very accurate and must provide a simple structured procedure for storing metadata and different details for an AR model view. Many registration techniques lack specificity and display techniques cannot display on numerous browsers and platforms. This paper deals with the above drawbacks by introducing a marker-less medical AR method that uses intensity-based identification for liver lesions and Augmented Reality Markup Language (ARML) for the regular AR view. Morphological operations are used to promote identification and boost the environment. AR registration technique is then accompanied by the identification, which is applied using a mutual information algorithm. We suggest storing metadata and details in ARML tags in all system stages, including preprocessing. Finally, the method of tracking is regarded in previous phases for the relevant video frames. Results of the suggested method found to boost the vision of physicians with high specificity for targeted objects. Furthermore, the use of ARML to save metadata ensures standard AR show, it also increases patient safety and follow-up.

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Author information

Authors and Affiliations

  1. Higher Institute for Tourism, Hotels and Computers, Seyouf, Alexandria, Egypt

    Ahmed A. Ismail

  2. Department of Information Technology, Institute of Graduate Studies and Research, Alexandria University, Alexandria, Egypt

    Saad M. Darwish

  3. Faculty of Computers and Information, Arab Academy for Science, Technology and Maritime Transport, Alexandria, Egypt

    Aya A. Mohallel

Authors
  1. Ahmed A. Ismail
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  2. Saad M. Darwish
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  3. Aya A. Mohallel
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Corresponding author

Correspondence to Saad M. Darwish .

Editor information

Editors and Affiliations

  1. Information Technology Department, Cairo University, Computer and Information Faculty, Giza, Egypt

    Aboul-Ella Hassanien

  2. College of Information Science and Engineering, Fujian University of Technology, Fuzhou, Fujian, China

    Kuo-Chi Chang

  3. International Center for Informatics Research, Beijing Jaiotong University, Beijing, China

    Tang Mincong

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Ismail, A.A., Darwish, S.M., Mohallel, A.A. (2021). An Enhanced Object Tracking Algorithm Based on Augmented Reality Markup Language (ARML) for Medical Engineering. In: Hassanien, AE., Chang, KC., Mincong, T. (eds) Advanced Machine Learning Technologies and Applications. AMLTA 2021. Advances in Intelligent Systems and Computing, vol 1339. Springer, Cham. https://doi.org/10.1007/978-3-030-69717-4_26

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