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dc.contributor.authorRamírez, Esmitten_US
dc.contributor.authorCoto, Ernestoen_US
dc.contributor.editorSilva, F. and Gutierrez, D. and Rodríguez, J. and Figueiredo, M.en_US
dc.date.accessioned2021-06-18T07:47:48Z
dc.date.available2021-06-18T07:47:48Z
dc.date.issued2021
dc.identifier.isbn978-3-03868-152-6
dc.identifier.urihttps://doi.org/10.2312/pt.20111151
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/pt20111151
dc.description.abstractPreoperative planning is an essential step before performing any surgical procedure. Computer Aided Orthopedic Surgery (CAOS) systems are extensively used for the planning of surgeries for fractures of lower extremities. These systems are input an X-Ray image and the planning can be digitally overlaid onto the image. The planning includes reassembling the fractured bone and possibly adding implants to reduce the fracture. In many cases, the implant does not fit perfectly in the patient's anatomy and it must be bended to adjust the implant to the bone. This paper presents a new method for the deformation of implants in CAOS systems, based on the Moving Least Squares (MLS) method for 2D images. Several improvements over the original MLS method are introduced to achieve visual results similar to the real procedure and make the deformation process easier and simpler for the surgeon. The improvements are explained in detail and all parameter values are provided. Over 100 clinical surgeries have been already planned successfully using a CAOS system that employs the proposed technique.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.5 [Computer Graphics]
dc.subjectComputational Geometry and Object Modeling
dc.subjectGeometric algorithms
dc.subjectlanguages
dc.subjectand systems
dc.subjectI.3.8 [Computer Graphics]
dc.subjectApplications
dc.titleA Moving Least Squares Method for Implant Model Deformation in Computer Aided Orthopedic Surgery for Fractures of Lower Extremitiesen_US
dc.description.seriesinformationV Ibero-American Symposium in Computer Graphics
dc.description.sectionheadersMedical Data Visualization
dc.identifier.doi10.2312/pt.20111151
dc.identifier.pages201-207


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