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

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

Western Sydney University

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

2 Citations (Scopus)

Abstract

![CDATA[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 geometricerror 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 2018), 19-20 September 2018, Kuala Lumpur, Malaysia
Publisher	IEEE
Pages	172-176
Number of pages	5
ISBN (Print)	9781538669914
DOIs	https://doi.org/10.1109/ICCCE.2018.8539344
Publication status	Published - 2018
Event	International Conference on Computer and Communication Engineering - Duration: 19 Sept 2018 → …

Conference

Conference	International Conference on Computer and Communication Engineering
Period	19/09/18 → …

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10.1109/ICCCE.2018.8539344

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Ng, S., Alsadoon, A., Prasad, P. W. C., Deva, A., Manoranjanl, P., 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 2018), 19-20 September 2018, Kuala Lumpur, Malaysia (pp. 172-176). IEEE. 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 = "![CDATA[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 geometricerror 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.]]",

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

year = "2018",

doi = "10.1109/ICCCE.2018.8539344",

language = "English",

isbn = "9781538669914",

pages = "172--176",

booktitle = "Proceedings of the 2018 7th International Conference on Computer and Communication Engineering (ICCCE 2018), 19-20 September 2018, Kuala Lumpur, Malaysia",

publisher = "IEEE",

note = "International Conference on Computer and Communication Engineering ; Conference date: 19-09-2018",

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Ng, S, Alsadoon, A, Prasad, PWC, Deva, A, Manoranjanl, P, 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 2018), 19-20 September 2018, Kuala Lumpur, Malaysia. IEEE, pp. 172-176, International Conference on Computer and Communication Engineering, 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 2018), 19-20 September 2018, Kuala Lumpur, Malaysia. IEEE, 2018. p. 172-176.

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

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AU - Ng, Shelsa

AU - Alsadoon, Abeer

AU - Prasad, P. W. C.

AU - Deva, Anand

AU - Manoranjanl, Paul

AU - Elchouemi, Amr

AU - Lau, Siong-Hoe

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N2 - ![CDATA[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 geometricerror 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 - ![CDATA[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 geometricerror 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.]]

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Ng S, Alsadoon A, Prasad PWC, Deva A, Manoranjanl P, 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 2018), 19-20 September 2018, Kuala Lumpur, Malaysia. IEEE. 2018. p. 172-176 doi: 10.1109/ICCCE.2018.8539344

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

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