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Eigen-disfigurement model for simulating plausible facial disfigurement after reconstructive surgery.

Juhun Lee1,2, Michelle C Fingeret3,4, Alan C Bovik5

  • 1Department of Electrical and Computer Engineering, The University of Texas at Austin, 2501 Speedway, Stop C0803, Austin, TX, 78712, USA. juhunlee@utexas.edu.

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Summary

Researchers developed a new method to simulate surgically plausible facial disfigurement. This technique accurately models appearance changes from cancer treatment, aiding the study of human perception of disfigured faces.

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Area of Science:

  • Medical imaging
  • Computer graphics
  • Psychology

Background:

  • Facial cancer treatment can cause disfigurement, impacting patients' self-perception and social interactions.
  • Understanding human perception of disfigured faces is crucial for patient support and reconstructive surgery.
  • A novel strategy is presented to simulate surgically plausible facial disfigurement for perception studies.

Purpose of the Study:

  • To develop and evaluate a new technique for simulating surgically plausible facial disfigurement.
  • To capture and replicate longitudinal variations in facial disfigurement.
  • To provide a tool for studying human perception of disfigured faces.

Main Methods:

  • Replication of longitudinal 3D facial images from 17 patients using a facial mannequin model with Thin-Plate Spline (TPS) warping.
  • Principal Component Analysis (PCA) to capture structural and textural variations representing disfigurement.
  • Poisson-based guided interpolation to seamlessly integrate simulated disfigurement onto a healthy face.

Main Results:

  • The algorithm achieved high accuracy in reproducing facial features, with a maximum error of less than 4.4 mm.
  • Simulated disfigurements, particularly peripheral ones, were rated as highly plausible by experienced medical professionals.
  • The model effectively captured and simulated longitudinal changes in facial disfigurement.

Conclusions:

  • The developed modeling technique accurately captures facial disfigurements and simulates plausible outcomes of reconstructive surgery.
  • This technique offers a valuable tool for investigating human perception of facial disfigurement.
  • The study provides a foundation for improving patient care and psychological support for individuals with facial disfigurement.