Multimodal Modeling of the Knee Joint

Multimodal Modeling of the Knee Joint

The trial will contribute to the development of an innovative algorithm that aims to simplify and improve preoperative knee surgical decision. This will be made by automatically extracting anatomical informations from different images acquired on the patient (scanner, MRI, radiography).

The source population will consist of at least 50 patients whose following modalities of images of the leg are present in the database: scanner, MRI, radiography. No restrictions on age or gender are required.

A dedicated algorithm adapting statistical models of appearance to the specific morphology of the patient acquired through an MRI and / or scanner and radios will then be developed.

Inclusion Criteria:

• Patients having the 3 modality of images : scanner, MRI, radiography
• Patients having osteoarthritis or knee trauma
• Images showing the articualtion of the knee
• having formulated his non opposition

Exclusion Criteria:

• Presentation of a partial view of the knee or any view that does not allow a good segmentation of the total knee joint.
• Refusal to participate