Citation

Lau, Siong Hoe and Elchouemi, Amr and Manoranjanl, Paul and Deva, An and Prasad, P.W.C. and Alsadoon, Abeer and Ng, Shelsa (2018) Reducing Deformation - Augmented Reality (AR) in Facelift Surgery: A Theoretical and Mathematical Study. In: 2018 7th International Conference on Computer and Communication Engineering (ICCCE). IEEE, pp. 172-176. ISBN 978-1-5386-6993-8, 978-1-5386-6992-1

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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 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.

Item Type:	Book Section
Uncontrolled Keywords:	Augmented reality, facelift surgery, facial deformation, elastic, skin deformation, shape changes
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science > QA76.75-76.765 Computer software
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	25 Nov 2020 09:47
Last Modified:	25 Nov 2020 09:47
URII:	http://shdl.mmu.edu.my/id/eprint/7306

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