Validation of a Statistical Shape Model for Acetabular Bone Defect Analysis
Abstract
Acetabular bone defects are still challenging to quantify. Numerous classification schemes have been proposed to categorize the diverse kinds of defects. However, these classification schemes are mainly descriptive and hence it remains difficult to apply them in pre-clinical testing, implant development and pre-operative planning. By reconstructing the native situation of a defect pelvis using a Statistical Shape Model (SSM), a more quantitative analysis of the bone defects could be performed. The aim of this study is to develop such a SSM and to validate its accuracy using relevant clinical scenarios and parameters.
Type
Publication
Orthopaedic Proceedings Vol. 101-B, No. SUPP_5, International Society for Technology in Arthroplasty (ISTA) 31st Annual Congress, London, England, October 2018. Part 2.
Hans Lamecker
Director, Software Development
Advancing 3D analysis, planning, design and manufacturing using innovative computational methods and tools