Master2: Anatomy Capture of the Human Hand

X-ray biplanar videos and registered kinematic 3D model (left) – target simulation model (right)


Detailed understanding of the musculo-skeletal motion of the human hand remains a challenge of high importance in health. In this domain, anatomical ground truth is difficult to access in-vivo; motion analysis is usually performed using markers attached to the skin, revealing only a partial view of the real anatomy. To improve such measurement, we have collected biplanar X-ray videos of a human hand subject performing different movement to directly visualize bones motion. These videos show internal views of the true skeleton, but, unlike a CT-scan, they do not provide yet full 3D information on bones. Anatomy capture of the hand is thus performed through the definition of a 3D articulated model of the hand, which needs to be accurately aligned onto the X-Ray videos.


A first kinematic model of the hand of the subject has been developed to define the main anatomical constrains between bones, as well as a registration technique which aligns renderings from an X-ray imaging simulation of this model onto the real X-ray videos. The goal of the project is to extend the kinematic model to a physical simulation integrating soft tissues (muscles, tendons and ligaments) in order to allow for a higher flexibility in the degrees of freedom of the bones. It is not realistic, nor sensible, to plan to model every soft tissue of the hand. This would introduce too many degrees of freedom and make difficult the adjustment of the model onto X-ray videos. A careful examination will have to be carried on to select the appropriate level of complexity of the model with respect to the gestures involved in the recorded manipulation. The physical model, along with its registration procedure, will have to be implemented on the SOFA simulation platform which is well adapted for such a heterogeneous modeling environment. The project will be co-advised by Lionel Reveret (3D animation, anatomical modeling, MORPHEO team, INRIA) and Franck Quaine (hand biomechanics, SAIGA team, GIPSA lab). It will take place at INRIA, Montbonnot.

Student profile

  • Master student in computer science or applied mathematics
  • programming in C++ or Python
  • knowledge of Matlab and Maya is a plus but not required
  • Solid mathematics knowledge (linear algebra, 3D geometry)
  • Fluent English or French spoken, and fluent written English

Duration: 5 to 7 months.

Start date: February to April 2015.

Location: Inria Grenoble, France.

How to apply
Please send applications through this page:

  • complete CV
  • graduation marks, rankings
  • the name and email address of references, if relevant

Lionel Reveret, MORPHEO team, LJK & Inria
Franck Quaine, SAIGA team, GIPSA Lab.
Tel.: 04 76 61 52 36