Facegram - Objective quantitative analysis in facial reconstructive surgery.

Area of Science:

• Medical imaging
• Biomechanical analysis
• Plastic surgery

Background:

• Traditional methods for evaluating reconstructive plastic surgery outcomes are often qualitative and lack dynamic movement analysis.
• Existing objective quantification methods are impractical for clinical settings due to cost and complexity.
• There is a need for a practical, objective system to assess facial movement dynamics in clinical environments.

Purpose of the Study:

• To develop a novel, user-friendly system for quantitative and objective assessment of complex facial movements.
• To create a tool that provides easy interpretation of facial movement data for medical experts.
• To improve the evaluation of surgical interventions in reconstructive plastic surgery.

Main Methods:

• Utilized RGB-D cameras to capture color and depth images of facial movements.
• Developed a modified block matching algorithm integrating color and depth data to track anatomical landmarks.
• Integrated algorithms into a graphical interface, creating a medical tool named facegram.

Main Results:

• The facegram system provides detailed quantitative static and dynamic information on facial movements.
• The developed method was validated using control subjects and patients with facial paralysis.
• The system demonstrated suitability for objective quantitative characterization of facial movement in a clinical setting.

Conclusions:

• The novel facegram system offers an objective and practical solution for assessing facial movement in reconstructive plastic surgery.
• This tool enhances the evaluation of surgical effectiveness by providing quantitative dynamic data.
• The system facilitates better comparison and selection of medical procedures for facial disfigurement.