Gaussian mixture models based 2D-3D registration of bone shapes for orthopedic surgery planning.
In orthopedic surgery, precise kinematics assessment helps the diagnosis and the planning of the intervention. The correct placement of the prosthetic component in the case of knee replacement is necessary to ensure a correct load distribution and to avoid revision of the implant. 3D reconstruction...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 54; no. 11; pp. 1727 - 1741 |
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| Autores principales: | , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Nov2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=118887919&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 118887919 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Nov2016 vid: 54 iid: 11 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 118887919 118887919 NLM27008362 10.1007/s11517-016-1460-6 NLM27008362 118887919 ppf: 1727 ppct: 14 formats: fmt: @attributes: type: P tig: atl: Gaussian mixture models based 2D-3D registration of bone shapes for orthopedic surgery planning. aug: au: Valenti, Marta Ferrigno, Giancarlo Martina, Dario Yu, Weimin Zheng, Guoyan Shandiz, Mohsen Anglin, Carolyn De Momi, Elena Shandiz, Mohsen Akbari affil: Department of Electronics, Information and Bioengineering , Politecnico di Milano , via Colombo 40 20133 Milan Italy sug: subj: Patient Care Plans Imaging, Three-Dimensional Models, Statistical Bone and Bones Pathology Bone and Bones Surgery Orthopedic Surgery Aged, 80 and Over Aged Fluoroscopy Middle Age User-Computer Interface Male Female Statistics Algorithms Rotation Aged, 80 & over Aged: 65+ years Middle Aged: 45-64 years Male Female ab: In orthopedic surgery, precise kinematics assessment helps the diagnosis and the planning of the intervention. The correct placement of the prosthetic component in the case of knee replacement is necessary to ensure a correct load distribution and to avoid revision of the implant. 3D reconstruction of the knee kinematics under weight-bearing conditions becomes fundamental to understand existing in vivo loads and improve the joint motion tracking. Existing methods rely on the semiautomatic positioning of a shape previously segmented from a CT or MRI on a sequence of fluoroscopic images acquired during knee flexion. We propose a method based on statistical shape models (SSM) automatically superimposed on a sequence of fluoroscopic datasets. Our method is based on Gaussian mixture models, and the core of the algorithm is the maximization of the likelihood of the association between the projected silhouette and the extracted contour from the fluoroscopy image. We evaluated the algorithm using digitally reconstructed radiographies of both healthy and diseased subjects, with a CT-extracted shape and a SSM as the 3D model. In vivo tests were done with fluoroscopically acquired images and subject-specific CT shapes. The results obtained are in line with the literature, but the computational time is substantially reduced. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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