Automatic generation of a three-dimensional model of the forearm using a statistical shape model for preoperative planning
Fracture of the distal radius is the most frequent fracture. Especially, it is a public health issue related to women over 50- year-old with osteoporosis. In such fractures, the decision-making process remains challenging and controversial. Nevertheless, the final functional result is highly correlated to the restitution of certain morphometric parameters. Till then, the majority of the authors focused on the design of a single dedicated implant for fracture. However, as it has been proved in other joints and mainly in arthritis management, there is a major interest in preoperative planning first to confirm the surgical indication, then to determine the surgeon's objectives. Thus, we propose an original approach by providing an automatic planning software. This planning must be based on a reliable model while most of the clinical studies often skip this essential step. The main objective of the PERForms project is to develop a forearm 3D model that will be automatically generated by a planning software and that will provide a basis to calculate morphometric information. This model will be static and dynamical and generated in a reliable, precise, reproducible, and automated way. Thus, the surgeons will be helped in their diagnosis and their decision making process. To achieve this objective, a specific Statistical Shape Model (SSM) method that has already proven its usefulness for other joints in terms of automatic segmentation, anatomy and functional prediction, and dynamic repositioning, will be used. The project will follow the stages listed below: 1) Data collection and labellization 2) SSM building and validation 3) Generation of the premorbid forearm bones and realignment in an anatomical position 4) Automatic segmentation, landmarking process and validation 5) Model optimization and preclinical validation
Fracture of the distal radius is the most frequent fracture. Especially, it is a public health issue related to women over 50- year-old with osteoporosis. In such fractures, the decision-making process remains challenging and controversial. Nevertheless, the final functional result is highly correlated to the restitution of certain morphometric parameters. Till then, the majority of the authors focused on the design of a single dedicated implant for fracture. However, as it has been proved in other joints and mainly in arthritis management, there is a major interest in preoperative planning first to confirm the surgical indication, then to determine the surgeon's objectives. Thus, we propose an original approach by providing an automatic planning software. This planning must be based on a reliable model while most of the clinical studies often skip this essential step. The main objective of the PERForms project is to develop a forearm 3D model that will be automatically generated by a planning software and that will provide a basis to calculate morphometric information. This model will be static and dynamical and generated in a reliable, precise, reproducible, and automated way. Thus, the surgeons will be helped in their diagnosis and their decision making process. To achieve this objective, a specific Statistical Shape Model (SSM) method that has already proven its usefulness for other joints in terms of automatic segmentation, anatomy and functional prediction, and dynamic repositioning, will be used. The project will follow the stages listed below: 1) Data collection and labellization 2) SSM building and validation 3) Generation of the premorbid forearm bones and realignment in an anatomical position 4) Automatic segmentation, landmarking process and validation 5) Model optimization and preclinical validation

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