Quantification, Analysis and Simulation of Facial Mimics Movements
- Conditions
- Mimic Facial Muscles
- Interventions
- Other: Magnetic Resonance Imaging (MRI), Surface scan, Motion capture, Digital Image Correlation
- Registration Number
- NCT02002572
- Lead Sponsor
- Centre Hospitalier Universitaire, Amiens
- Brief Summary
The SIMOVI project is a collaboration between our Department of Maxillofacial Surgery (CHU Amiens) and the Biomechanical bioengineer Research Department and Roberval Labs (Technological University of Compiègne). The question raised is the extent to which a facial mimic can be evaluated objectively. In today's clinical practice, the investigators use grading systems based on muscular scale or testing, in order to evaluate a facial muscular disorder. This assessment remains subjective because the investigators are deducing from surfacing cutaneous deformations the movement quality of the solicited muscle.
This qualitative approach is therefore an approximate approach and deserves to be better thought to plan a surgical treatment which involves mimic facial muscle (as rehabilitation of facial palsy, cleft palate for example), to monitor the results, and to follow the recovery and progress in physiotherapy care.
The aim of this study is to correlate external soft tissue movement (essentially cutaneous) during facial mimic with internal movement (essentially facial mimic muscle) using qualitative and QUANTITATIVE indicators, and to perform a biomechanical model of selected mimic face's movement using the precedent data.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 50
- Caucasian subject
- Ability to provide informed consent
- Facial pathology
- Facial trauma
- Pregnant or breastfeeding.
- Contraindications to MRI
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- SINGLE_GROUP
- Arm && Interventions
Group Intervention Description Mimic facial muscle from 3T MRI data Magnetic Resonance Imaging (MRI), Surface scan, Motion capture, Digital Image Correlation -
- Primary Outcome Measures
Name Time Method Morphometric assessment of mimic facial muscle from 3T MRI data 30 min The aim is to valid a method to identify, describe and measure the mimic facial muscles in 3 Tesla MRI. Through particular MRI acquisition developed especially for mimic facial muscle from routine acquisition, Morphometrics properties are calculated as length, volume, thickness and cross physiological section area.
- Secondary Outcome Measures
Name Time Method Three dimensional quantitative analysis of mimics through motion capture 01 hour A VICON motion capture system with the Nexus 1.7.1 software will be used to capture expressive facial movements at a 120 Hz sample rate with 7 T160 cameras and 2 MX30 cameras. Markers of a diameter of 1.5 mm will be placed on the face. The localization of the markers is related to the muscles involved in the movements we want to study.
After data capture, we build and reconstruct our model. We chose a neutral pose as reference. The best parameters for the reconstruction will be determined. Kinematic parameters will be the markers displacement.Three dimensional quantitative mimic facial analysis with surface scan. 01 hour Three-dimensional image captured with a MH WHALE 3D Scanner.
Three dimensional analysis with Digital Image Correlation 01 hour Recording three-dimensional images of the deformations of the face by two pairs of Pike CCD cameras from Allied Vision Technologies, with Schneider Xenoplan 2.0/28mm Lens, positioned on both sides of the face.
The calibration and the image processing will be made with the software suite VIC-SNAP, VIC-3D and 3D Fusion (Correlated Solutions)
Trial Locations
- Locations (1)
Amiens University Hospital
🇫🇷Amiens, Picardie, France