Radiograph-based femur morphing method

Zanetti, Elisabetta M.; Crupi, Vincenzo; Bignardi, Cristina; Calderale, P. M.

doi:10.1007/bf02345952

Cited by 23 publications

(15 citation statements)

References 20 publications

(24 reference statements)

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“…The multibody model was realised through Adams (MSC Software Corporation); simulated rigid bodies were: the femur, half a pelvis, the prosthetic stem and the acetabular cup. Synthetic bones were considered at this stage, but personalised models built from a CT7 scan 16 or from x-rays 17 could be used. The geometries of the implanted femur and of the pelvis were here obtained through reverse engineering: a CT scan was performed for both; the scans were segmented through apposite software and the contour lines (obtained both for cortical and trabecular bones) were exported to 3D CAD software (Rhinoceros, Robert McNeel & Associates).…”

Section: Methodsmentioning

confidence: 99%

A multibody model for the optimization of hip arthroplasty in relation to range of movement

Zanetti¹,

Bignardi²,

Terzini³

et al. 2018

AMJ

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BackgroundThe dislocation of the prosthesized hip is a relevant postoperative complication; this adverse outcome is dependent on the specific patient anatomy and on the artificial joint design. The geometry of the reconstructed hip is one of the key factors and it is usually designed at the time of the preoperative planning when the stem model and size, the head diameter and its offset, and the acetabular cup orientation are selected. AimsIn this work, the authors have developed a numerical model to support the pre-operative planning, allowing assessing the hip range of motion, once the geometry of the implant has been defined. MethodsA multi-body model of a prosthesized hip has been developed, and a dislocating movement has been applied; the software is able to assess the entity of displacements and of applied forces which can produce hip dislocation. ResultsAs a proof of concept, multiple combinations of geometric factors have been examined that are the head diameter, the acetabular cup anteversion and its inclination, reaching a total number of 675 configurations. This software is able to analyse and compare all configurations in few minutes. ConclusionThe developed numerical model can be a support to quickly compare a great number of solutions from the point of view of hip stability, reaching a comprehensive view of all possibilities, and giving a contribute to the final aim that is surgery optimization, in relation to each specific patient. What this study adds: What is known about this subject?Hip dislocation is a relevant complication in hip arthroplasty; this adverse outcome is dependent on the specific patient anatomy and on the artificial joint design. What new information is offered in this study?This study introduced a methodology, based on multibody model, which allows optimising the choice of prosthetic components and their positioning in relation to dislocation risk. What are the implications for research, policy, or practice?The pre-operative planning of hip arthroplasty can take benefit from numerical methods able to foresee the final hip range of motion.

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Section: Methodsmentioning

confidence: 99%

A multibody model for the optimization of hip arthroplasty in relation to range of movement

Zanetti¹,

Bignardi²,

Terzini³

et al. 2018

AMJ

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“…Femoral diameter (cortical boundary) estimation errors are typically between 0.4 and 1.0 mm. 47 These extracted erroneous contours cause inaccuracy when used for shape customization.…”

Section: Discussionmentioning

confidence: 99%

Low‐dose three‐dimensional reconstruction of the femur with unit free‐form deformation

et al. 2014

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“…These models are mainly used for mechanical simulation (Mantyla 1988;Wirtz et al 2003;Zanetti et al 2005). …”

Section: D Digital Modelsmentioning

confidence: 99%

Comparing parametric solid modelling/reconfiguration, global shape modelling and free-form deformation for the generation of 3D digital models of femurs from X-ray images

Filippi

Motyl

Bandera

2009

Computer Methods in Biomechanics and Biomedical Engineering

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At present, computer assisted surgery systems help orthopaedic surgeons both plan and perform surgical procedures. To enable these systems to function, it is crucial to have at one's disposal 3D models of anatomical structures, surgical tools and prostheses (if required). This paper analyses and compares three methods for generating 3D digital models of anatomical structures starting from X-ray images: parametric solid modelling/reconfiguration, global shape modelling and free-form deformation. Seven experiences involving the generation of a femur model were conducted by software developers and different skilled users. These experiences are described in detail and compared at different stages and from different points of view.

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Radiograph-based femur morphing method

Cited by 23 publications

References 20 publications

A multibody model for the optimization of hip arthroplasty in relation to range of movement

A multibody model for the optimization of hip arthroplasty in relation to range of movement

Low‐dose three‐dimensional reconstruction of the femur with unit free‐form deformation

Comparing parametric solid modelling/reconfiguration, global shape modelling and free-form deformation for the generation of 3D digital models of femurs from X-ray images

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