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Original Article | ONLINE FIRST

Toward a Universal, Automated Facial Measurement Tool in Facial Reanimation

Tessa A. Hadlock, MD; Luke S. Urban, MS
Arch Facial Plast Surg. 2012;14(4):277-282. doi:10.1001/archfacial.2012.111.
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Published online

Objective  To describe a highly quantitative facial function–measuring tool that yields accurate, objective measures of facial position in significantly less time than existing methods.

Methods  Facial Assessment by Computer Evaluation (FACE) software was designed for facial analysis. Outputs report the static facial landmark positions and dynamic facial movements relevant in facial reanimation. Fifty individuals underwent facial movement analysis using Photoshop-based measurements and the new software; comparisons of agreement and efficiency were made. Comparisons were made between individuals with normal facial animation and patients with paralysis to gauge sensitivity to abnormal movements.

Results  Facial measurements were matched using FACE software and Photoshop-based measures at rest and during expressions. The automated assessments required significantly less time than Photoshop-based assessments. FACE measurements easily revealed differences between individuals with normal facial animation and patients with facial paralysis.

Conclusions  FACE software produces accurate measurements of facial landmarks and facial movements and is sensitive to paralysis. Given its efficiency, it serves as a useful tool in the clinical setting for zonal facial movement analysis in comprehensive facial nerve rehabilitation programs.

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Figures

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Figure 1. Photograph illustrating 7 relevant distances in facial paralysis. Lines represent (from top to bottom) top edge of eyebrow in midpupillary line (MPL), margin of upper eyelid in MPL, margin of lower eyelid in MPL, alar base, midupper lip position, oral commissure position, and midlower lip position. Horizontal black lines indicate height of these landmarks on the healthy side, and solid red lines indicate their position on the paralyzed side. The vertical lines represent facial midline (based on bisection of the interpupillary line) (black) and the actual center of the philtrum (red). A, Resting brow ptosis. B, Superior eyelid malposition. C, Inferior eyelid malposition. D, Nasal base ptosis. E, Midupper eyelip ptosis. F, Oral commissure malposition. G, Philtral deviation.

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Figure 2. Graphic interface for the Facial Assessment by Computer Evaluation (FACE) program, which illustrates tabs to outline iris diameter and a pull-down menu specific to the parameters of interest.

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Figure 3. Two patients with right facial paralysis performing the 7 standard expressions. Left: flaccid paralysis. Right: hypertonic paralysis. Note the difference in function based on the absence (left) or presence (right) of synkinesis.

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Figure 4. Graph illustrating matched agreement between the 2 methods of determining oral commissure excursion with smiling. FACE indicates Facial Assessment by Computer Evaluation. Error bars indicate SD.

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Figure 5. Graph illustrating the statistically significant difference in time it takes to analyze a resting photograph for 7 facial landmarks (P < .001). The Facial Assessment by Computer Evaluation (FACE) method took approximately one-tenth the time of the Photoshop measurements. Error bars indicate SD.

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Figure 6. Graphs demonstrating the sensitivity of the Facial Assessment by Computer Evaluation (FACE) method in distinguishing between a diseased population and healthy volunteers. A, Brow ptosis at rest between facial paralysis patients and individuals with normal facial animation. B, Number of millimeters of commissure excursion with smiling. Note that the facial paralysis group shows essentially no commissure excursion, whereas individuals with normal facial animation show literature-matched values. Error bars indicate SD.

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