2D-3D Reconstruction-Based Planning of Total Hip Arthroplasty
Contribuinte(s) |
Zheng, Guoyan Li, Shuo |
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Data(s) |
2016
|
Resumo |
This chapter proposed a personalized X-ray reconstruction-based planning and post-operative treatment evaluation framework called iJoint for advancing modern Total Hip Arthroplasty (THA). Based on a mobile X-ray image calibration phantom and a unique 2D-3D reconstruction technique, iJoint can generate patient-specific models of hip joint by non-rigidly matching statistical shape models to the X-ray radiographs. Such a reconstruction enables a true 3D planning and treatment evaluation of hip arthroplasty from just 2D X-ray radiographs whose acquisition is part of the standard diagnostic and treatment loop. As part of the system, a 3D model-based planning environment provides surgeons with hip arthroplasty related parameters such as implant type, size, position, offset and leg length equalization. With this newly developed system, we are able to provide true 3D solutions for computer assisted planning of THA using only 2D X-ray radiographs, which is not only innovative but also cost-effective. |
Formato |
application/pdf |
Identificador |
Zheng, Guoyan; Schumann, Steffen; Balestra, Steven; Thelen, Benedikt; Nolte, Lutz-Peter (2016). 2D-3D Reconstruction-Based Planning of Total Hip Arthroplasty. In: Zheng, Guoyan; Li, Shuo (eds.) Computational Radiology for Orthopaedic Interventions. Lecture Notes in Computational Vision and Biomechanics: Vol. 23 (pp. 197-215). Cham: Springer 10.1007/978-3-319-23482-3_10 <http://dx.doi.org/10.1007/978-3-319-23482-3_10> doi:10.7892/boris.75232 info:doi:10.1007/978-3-319-23482-3_10 urn:issn:2212-9391 urn:isbn:978-3-319-23481-6 |
Idioma(s) |
eng |
Publicador |
Springer |
Relação |
http://boris.unibe.ch/75232/ |
Direitos |
info:eu-repo/semantics/restrictedAccess |
Fonte |
Zheng, Guoyan; Schumann, Steffen; Balestra, Steven; Thelen, Benedikt; Nolte, Lutz-Peter (2016). 2D-3D Reconstruction-Based Planning of Total Hip Arthroplasty. In: Zheng, Guoyan; Li, Shuo (eds.) Computational Radiology for Orthopaedic Interventions. Lecture Notes in Computational Vision and Biomechanics: Vol. 23 (pp. 197-215). Cham: Springer 10.1007/978-3-319-23482-3_10 <http://dx.doi.org/10.1007/978-3-319-23482-3_10> |
Palavras-Chave | #570 Life sciences; biology #610 Medicine & health |
Tipo |
info:eu-repo/semantics/bookPart info:eu-repo/semantics/publishedVersion PeerReviewed |