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Fiducial-Free 2D/3D Registration for Robot-Assisted Femoroplasty.
Gao, Cong; Farvardin, Amirhossein; Grupp, Robert B; Bakhtiarinejad, Mahsan; Ma, Liuhong; Thies, Mareike; Unberath, Mathias; Taylor, Russell H; Armand, Mehran.
Afiliação
  • Gao C; Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA 21211.
  • Farvardin A; Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA 21211.
  • Grupp RB; Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA 21211.
  • Bakhtiarinejad M; Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA 21211.
  • Ma L; Department of Cranio-maxillo-facial Surgery Center, Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, CHN,100144.
  • Thies M; Pattern Recognition Lab, Friedrich-Alexander-Universitt Erlangen-Nrnberg, Erlangen, Germany 91058.
  • Unberath M; Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA 21211.
  • Taylor RH; Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA 21211.
  • Armand M; Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA 21211; Department of Orthopaedic Surgery and Johns Hopkins Applied Physics Laboratory, Baltimore, MD, USA 21224.
IEEE Trans Med Robot Bionics ; 2(3): 437-446, 2020 Aug.
Article em En | MEDLINE | ID: mdl-33763632
ABSTRACT
Femoroplasty is a proposed alternative therapeutic method for preventing osteoporotic hip fractures in the elderly. Previously developed navigation system for femoroplasty required the attachment of an external X-ray fiducial to the femur. We propose a fiducial-free 2D/3D registration pipeline using fluoroscopic images for robot-assisted femoroplasty. Intraoperative fluoroscopic images are taken from multiple views to perform registration of the femur and drilling/injection device. The proposed method was tested through comprehensive simulation and cadaveric studies. Performance was evaluated on the registration error of the femur and the drilling/injection device. In simulations, the proposed approach achieved a mean accuracy of 1.26±0.74 mm for the relative planned injection entry point; 0.63±0.21° and 0.17±0.19° for the femur injection path direction and device guide direction, respectively. In the cadaver studies, a mean error of 2.64 ± 1.10 mm was achieved between the planned entry point and the device guide tip. The biomechanical analysis showed that even with a 4 mm translational deviation from the optimal injection path, the yield load prior to fracture increased by 40.7%. This result suggests that the fiducial-less 2D/3D registration is sufficiently accurate to guide robot assisted femoroplasty.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: IEEE Trans Med Robot Bionics Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: IEEE Trans Med Robot Bionics Ano de publicação: 2020 Tipo de documento: Article