Mimic Facial Muscles
Conditions
Keywords
Facial Mimic Muscle, MRI, Segmentation, Three dimensional assessment, Motion capture, Movement analysis, Digital Image Correlation
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.
Interventions
OTHERMagnetic Resonance Imaging (MRI), Surface scan, Motion capture, Digital Image Correlation
Sponsors
Regional Council Picardie, France
Centre Hospitalier Universitaire, Amiens
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
20 Years to 30 Years
Healthy volunteers
Yes
Inclusion criteria
* Caucasian subject * Ability to provide informed consent
Exclusion criteria
* Facial pathology * Facial trauma * Pregnant or breastfeeding. * Contraindications to MRI
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| 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
| Measure | Time frame | Description |
|---|---|---|
| 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) |
Countries
France
Outcome results
None listed