Reducing deformation - Augmented Reality (AR) in facelift surgery: A theoretical and mathematical study

Shelsa Ng; Abeer Alsadoon; P. W. C. Prasad; Anand Deva; Manoranjan Paul; Amr Elchouemi; Siong Hoe Lau

doi:10.1109/ICCCE.2018.8539344

Reducing deformation - Augmented Reality (AR) in facelift surgery: A theoretical and mathematical study

Shelsa Ng, Abeer Alsadoon, P. W. C. Prasad, Anand Deva, Manoranjan Paul, Amr Elchouemi, Siong Hoe Lau

Research output: Book chapter/Published conference paper › Conference paper › peer-review

2 Citations (Scopus)

Abstract

Augmented Reality (AR) is increasingly used in the medical field to provide surgeons with pre-surgery visuals during surgery. To date, it has not been successful for facelift surgery which involves manipulation of facial soft tissues. This paper aims to provide an overview of current AR research for this type of procedure. Experiences with AR in related medical fields (i.e. oral and maxillofacial) have highlighted limitation arising from the elastic nature of facial soft tissues, which shift shape during surgery caused by patient and surgeon movement. This paper aims to increase overlay accuracy by reducing the elastic deformation error for AR during facelift surgery. The proposed system consists of a Gaussian Distribution and Tukey Weight (GDaTW) algorithm after the geometric error algorithm has been applied. The proposed solution has been theoretically and mathematically justified, and a comparison table has been provided. Using AR to provide an accurate display of soft tissues in the mandibular aims to overcome occlusion by the patient's skin.

Original language	English
Title of host publication	Proceedings of the 2018 7th international conference on computer and communication Engineering (ICCCE)
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	172-176
Number of pages	5
ISBN (Electronic)	9781538669914, 9781538669921
ISBN (Print)	9781538669938 (Print on demand)
DOIs	https://doi.org/10.1109/ICCCE.2018.8539344
Publication status	Published - 16 Nov 2018
Event	7th International Conference on Computer and Communication Engineering, ICCCE 2018 - Kulliyyah of Engineering, Selangor, Malaysia Duration: 19 Sept 2018 → 20 Sept 2018 https://www.aconf.org/conf_159258.html https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8539282 (Chair's message) https://www.iium.edu.my/iccce/18/usb/program/index.html (program)

Conference

Conference	7th International Conference on Computer and Communication Engineering, ICCCE 2018
Abbreviated title	Innovative Technologies to Serve Humanity
Country/Territory	Malaysia
City	Selangor
Period	19/09/18 → 20/09/18
Internet address	https://www.aconf.org/conf_159258.html https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8539282 (Chair's message) https://www.iium.edu.my/iccce/18/usb/program/index.html (program)

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10.1109/ICCCE.2018.8539344

Cite this

Ng, S., Alsadoon, A., Prasad, P. W. C., Deva, A., Paul, M., Elchouemi, A., & Lau, S. H. (2018). Reducing deformation - Augmented Reality (AR) in facelift surgery: A theoretical and mathematical study. In Proceedings of the 2018 7th international conference on computer and communication Engineering (ICCCE) (pp. 172-176). Article 8539344 IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICCCE.2018.8539344

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title = "Reducing deformation - Augmented Reality (AR) in facelift surgery: A theoretical and mathematical study",

abstract = "Augmented Reality (AR) is increasingly used in the medical field to provide surgeons with pre-surgery visuals during surgery. To date, it has not been successful for facelift surgery which involves manipulation of facial soft tissues. This paper aims to provide an overview of current AR research for this type of procedure. Experiences with AR in related medical fields (i.e. oral and maxillofacial) have highlighted limitation arising from the elastic nature of facial soft tissues, which shift shape during surgery caused by patient and surgeon movement. This paper aims to increase overlay accuracy by reducing the elastic deformation error for AR during facelift surgery. The proposed system consists of a Gaussian Distribution and Tukey Weight (GDaTW) algorithm after the geometric error algorithm has been applied. The proposed solution has been theoretically and mathematically justified, and a comparison table has been provided. Using AR to provide an accurate display of soft tissues in the mandibular aims to overcome occlusion by the patient's skin.",

keywords = "Augmented reality, Elastic, Facelift surgery, Facial deformation, Shape changes., Skin deformation",

author = "Shelsa Ng and Abeer Alsadoon and Prasad, {P. W. C.} and Anand Deva and Manoranjan Paul and Amr Elchouemi and Lau, {Siong Hoe}",

note = "Includes bibliographical references.; 7th International Conference on Computer and Communication Engineering, ICCCE 2018, Innovative Technologies to Serve Humanity ; Conference date: 19-09-2018 Through 20-09-2018",

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Ng, S, Alsadoon, A, Prasad, PWC, Deva, A, Paul, M, Elchouemi, A & Lau, SH 2018, Reducing deformation - Augmented Reality (AR) in facelift surgery: A theoretical and mathematical study. in Proceedings of the 2018 7th international conference on computer and communication Engineering (ICCCE)., 8539344, IEEE, Institute of Electrical and Electronics Engineers, pp. 172-176, 7th International Conference on Computer and Communication Engineering, ICCCE 2018, Selangor, Malaysia, 19/09/18. https://doi.org/10.1109/ICCCE.2018.8539344

Reducing deformation - Augmented Reality (AR) in facelift surgery: A theoretical and mathematical study. / Ng, Shelsa; Alsadoon, Abeer; Prasad, P. W. C. et al.
Proceedings of the 2018 7th international conference on computer and communication Engineering (ICCCE). IEEE, Institute of Electrical and Electronics Engineers, 2018. p. 172-176 8539344.

Research output: Book chapter/Published conference paper › Conference paper › peer-review

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T1 - Reducing deformation - Augmented Reality (AR) in facelift surgery

T2 - 7th International Conference on Computer and Communication Engineering, ICCCE 2018

AU - Ng, Shelsa

AU - Alsadoon, Abeer

AU - Prasad, P. W. C.

AU - Deva, Anand

AU - Paul, Manoranjan

AU - Elchouemi, Amr

AU - Lau, Siong Hoe

N1 - Includes bibliographical references.

PY - 2018/11/16

Y1 - 2018/11/16

N2 - Augmented Reality (AR) is increasingly used in the medical field to provide surgeons with pre-surgery visuals during surgery. To date, it has not been successful for facelift surgery which involves manipulation of facial soft tissues. This paper aims to provide an overview of current AR research for this type of procedure. Experiences with AR in related medical fields (i.e. oral and maxillofacial) have highlighted limitation arising from the elastic nature of facial soft tissues, which shift shape during surgery caused by patient and surgeon movement. This paper aims to increase overlay accuracy by reducing the elastic deformation error for AR during facelift surgery. The proposed system consists of a Gaussian Distribution and Tukey Weight (GDaTW) algorithm after the geometric error algorithm has been applied. The proposed solution has been theoretically and mathematically justified, and a comparison table has been provided. Using AR to provide an accurate display of soft tissues in the mandibular aims to overcome occlusion by the patient's skin.

AB - Augmented Reality (AR) is increasingly used in the medical field to provide surgeons with pre-surgery visuals during surgery. To date, it has not been successful for facelift surgery which involves manipulation of facial soft tissues. This paper aims to provide an overview of current AR research for this type of procedure. Experiences with AR in related medical fields (i.e. oral and maxillofacial) have highlighted limitation arising from the elastic nature of facial soft tissues, which shift shape during surgery caused by patient and surgeon movement. This paper aims to increase overlay accuracy by reducing the elastic deformation error for AR during facelift surgery. The proposed system consists of a Gaussian Distribution and Tukey Weight (GDaTW) algorithm after the geometric error algorithm has been applied. The proposed solution has been theoretically and mathematically justified, and a comparison table has been provided. Using AR to provide an accurate display of soft tissues in the mandibular aims to overcome occlusion by the patient's skin.

KW - Augmented reality

KW - Elastic

KW - Facelift surgery

KW - Facial deformation

KW - Shape changes.

KW - Skin deformation

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AN - SCOPUS:85059408520

SN - 9781538669938 (Print on demand)

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BT - Proceedings of the 2018 7th international conference on computer and communication Engineering (ICCCE)

PB - IEEE, Institute of Electrical and Electronics Engineers

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ER -

Ng S, Alsadoon A, Prasad PWC, Deva A, Paul M, Elchouemi A et al. Reducing deformation - Augmented Reality (AR) in facelift surgery: A theoretical and mathematical study. In Proceedings of the 2018 7th international conference on computer and communication Engineering (ICCCE). IEEE, Institute of Electrical and Electronics Engineers. 2018. p. 172-176. 8539344 doi: 10.1109/ICCCE.2018.8539344

Reducing deformation - Augmented Reality (AR) in facelift surgery: A theoretical and mathematical study

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