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Quantification, Analysis and Simulation of Facial Mimics Movements (SIMOVI-IRM)

The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Know the risks and potential benefits of clinical studies and talk to your health care provider before participating. Read our disclaimer for details. Identifier: NCT02002572
Recruitment Status : Recruiting
First Posted : December 6, 2013
Last Update Posted : July 20, 2020
Regional Council Picardie, France
Information provided by (Responsible Party):
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.

Condition or disease Intervention/treatment Phase
Mimic Facial Muscles Other: Magnetic Resonance Imaging (MRI), Surface scan, Motion capture, Digital Image Correlation Not Applicable

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Study Type : Interventional  (Clinical Trial)
Estimated Enrollment : 50 participants
Allocation: N/A
Intervention Model: Single Group Assignment
Masking: None (Open Label)
Primary Purpose: Diagnostic
Official Title: Quantification, Analysis and Simulation of Facial Mimics Movements
Actual Study Start Date : August 8, 2011
Estimated Primary Completion Date : February 2022
Estimated Study Completion Date : February 2022

Arm Intervention/treatment
Experimental: Mimic facial muscle from 3T MRI data Other: Magnetic Resonance Imaging (MRI), Surface scan, Motion capture, Digital Image Correlation

Primary Outcome Measures :
  1. Morphometric assessment of mimic facial muscle from 3T MRI data [ Time Frame: 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 :
  1. Three dimensional quantitative analysis of mimics through motion capture [ Time Frame: 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.

  2. Three dimensional quantitative mimic facial analysis with surface scan. [ Time Frame: 01 hour ]
    Three-dimensional image captured with a MH WHALE 3D Scanner.

  3. Three dimensional analysis with Digital Image Correlation [ Time Frame: 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)

Information from the National Library of Medicine

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Ages Eligible for Study:   20 Years to 30 Years   (Adult)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   Yes

Inclusion Criteria:

  • Caucasian subject
  • Ability to provide informed consent

Exclusion Criteria:

  • Facial pathology
  • Facial trauma
  • Pregnant or breastfeeding.
  • Contraindications to MRI

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its identifier (NCT number): NCT02002572

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Contact: Bernard DEVAUCHELLE, MD, phD 033 3 22 66 83 25
Contact: Stéphanie DAKPE, MD 033 3 22 66 83 25

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Amiens University Hospital Recruiting
Amiens, Picardie, France, 80054
Contact: Stéphanie DAKPE, MD    0033 3 22 66 83 25   
Sponsors and Collaborators
Centre Hospitalier Universitaire, Amiens
Regional Council Picardie, France
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Study Director: Bernard DEVAUCHELLE, MD, phD Department of Maxillofacial Surgery, Amiens University Hospital
Principal Investigator: Stéphanie DAKPE, MD Department of Maxillofacial Surgery, Amiens University Hospital
Chabanas M, Payan Y, Marecaux C, Swider P, Boutault F Comparison of linear and non linear soft tissue models with post-operative CT scan in maxillofacial surgery Lecture notes in computer science 2004, vol 3078, 19-27
Chevallier AM.Rééducation des paralysies faciales centrales et périphériques Encyclopédie Médico-Chirurgicale, Paris Kinésithérapie 26463 B10 5-1990, 16 p
Duchenne de Boulogne.La mécanique des passions. Paris ,1855
Ekman P, Friesen W.V .Unmasking the face: A guide to recognizing emotions from facial clues Consulting psychologists press (Palo Alto, Californie 1984)
Ermiane.R.Jeux musculaires et expressions du visage.Paris : Le François
Gladilin E, Zackav S, Deufhard P, HEGE HC.Towards a realistic simulation of individual facial mimics Stuttgart, Germany, November 21-23, 2001
Ho Ba Tho MC Bone and joints modelling with individualised geometric and mechanical properties derived from medical images. Computer Mechanics and Engineering Sciences (2003) 4: 3&4. 489-496
Lacide.M, Chevallier .AM Evaluation clinique de la fonction musculaire.
Le Double AF.Traité des variations du système musculaire de l'homme1897, Paris : Schleicher frères
Poirrier P, Charpy A.Traité d'anatomie humaine..Myologie, vol. 2, 1901, Paris, Masson
Rouvière H .Anatomie humaine descriptive, topographique et fonctionnelle.Tome 1, Tête et cou, 15e édition
Sobotta.Atlas d'anatomie humaine - Tome 13 - Edition française.Edition Médicale Internationale, 1994
Testud L.Traité d'anatomie humaine.1899, Paris
Tran H V (2007) Determination of the mechanical properties of the skin in vivo. PhD Dissertation, Université de Technologie de Compiègne

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Responsible Party: Centre Hospitalier Universitaire, Amiens Identifier: NCT02002572    
Other Study ID Numbers: PI11-DR-DAKPE
2011-A00532-39 ( Other Identifier: ID-RCB )
First Posted: December 6, 2013    Key Record Dates
Last Update Posted: July 20, 2020
Last Verified: July 2020
Keywords provided by Centre Hospitalier Universitaire, Amiens:
Facial Mimic Muscle
Three dimensional assessment
Motion capture
Movement analysis
Digital Image Correlation
Additional relevant MeSH terms:
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Disease Attributes
Pathologic Processes