Knee Arthroplasty
Conditions
Brief summary
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).
Detailed description
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.
Interventions
None listed
Sponsors
University Hospital, Brest
Study design
Observational model
COHORT
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Healthy volunteers
Yes
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Obtaining a similar knee segmentation for all patient regardless of the input image (MRI, CT or radiography) | Inclusion - Day 0 | Creation of an algorithm that will automatically segment and provide the same knee anatomical informations for all patients studied regardless of the input image. This multimodal modeling will be carried out via the exploitation of an active model of appearance type algorithm. |
Countries
France
Contacts
Primary ContactSTINDEL Eric
Backup ContactDardenne Guillaume
Outcome results
None listed