Facegram - Objective quantitative analysis in facial reconstructive surgery

• Type: Article in International Scientific Journal
• Date: 2016

Authors

Geros, A (Author) Other; Horta, R (Author) FMUP; Paulo Aguiar (Author) FMUP

Journal

Title: Journal of Biomedical Informatics

Vol. 61

Pages: 1-9

ISSN: 1532-0464

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 10 Citations

Scopus - 9 Citations

Other information

Authenticus ID: P-00K-AF1

DOI: 10.1016/j.jbi.2016.03.011

Abstract (EN): Evaluation of effectiveness in reconstructive plastic surgery has become an increasingly important asset in comparing and choosing the most suitable medical procedure to handle facial disfigurement. Unfortunately, traditional methods to assess the results of surgical interventions are mostly qualitative and lack information about movement dynamics. Along with this, the few existing methodologies tailored to objectively quantify surgery results are not practical in the medical field due to constraints in terms of cost, complexity and poor suitability to clinical environment. These limitations enforce an urgent need for the creation of a new system to quantify facial movement and allow for an easy interpretation by medical experts. With this in mind, we present here a novel method capable of quantitatively and objectively assess complex facial movements, using a set of morphological, static and dynamic measurements. For this purpose, RGB-D cameras are used to acquire both color and depth images, and a modified block matching algorithm, combining depth and color information, was developed to track the position of anatomical landmarks of interest. The algorithms are integrated into a user-friendly graphical interface and the analysis outcomes are organized into an innovative medical tool, named facegram. This system was developed in close collaboration with plastic surgeons and the methods were validated using control subjects and patients with facial paralysis. The system was shown to provide useful and detailed quantitative information (static and dynamic) making it an appropriate solution for objective quantitative characterization of facial movement in a clinical environment.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 9