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Multimodal Modeling of the Knee Joint

Conditions
Knee Arthroplasty
Registration Number
NCT04179812
Lead Sponsor
University Hospital, Brest
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.

Recruitment & Eligibility

Status
UNKNOWN
Sex
All
Target Recruitment
210
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

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
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.

Secondary Outcome Measures
NameTimeMethod

Trial Locations

Locations (1)

CHRU de Brest

🇫🇷

Brest, France

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