Prosthetic component segmentation with blur compensation: a fast method for 3D fluoroscopy.
A new method for prosthetic component segmentation from fluoroscopic images is presented. The hybrid approach we propose combines diffusion filtering, region growing and level-set techniques without exploiting any a priori knowledge of the analyzed geometry. The method was evaluated on a synthetic d...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 50; no. 6; pp. 631 - 641 |
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| Autores principales: | , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Jun2012
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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=104451369&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104451369 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Jun2012 vid: 50 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104451369 NLM22450847 2011562926 10.1007/s11517-012-0884-x NLM22450847 104451369 ppf: 631 ppct: 10 formats: fmt: @attributes: type: P tig: atl: Prosthetic component segmentation with blur compensation: a fast method for 3D fluoroscopy. aug: au: Tarroni G Tersi L Corsi C Stagni R Tarroni, Giacomo Tersi, Luca Corsi, Cristiana Stagni, Rita affil: Department of Electronics, Computer Science, and Systems-DEIS, University of Bologna, Bologna, Italy sug: subj: Fluoroscopy Methods Joint Prosthesis Radiographic Image Interpretation, Computer-Assisted Methods Hip Joint Radiography Human Diagnostic Imaging Methods Knee Joint Radiography ab: A new method for prosthetic component segmentation from fluoroscopic images is presented. The hybrid approach we propose combines diffusion filtering, region growing and level-set techniques without exploiting any a priori knowledge of the analyzed geometry. The method was evaluated on a synthetic dataset including 270 images of knee and hip prosthesis merged to real fluoroscopic data simulating different conditions of blurring and illumination gradient. The performance of the method was assessed by comparing estimated contours to references using different metrics. Results showed that the segmentation procedure is fast, accurate, independent on the operator as well as on the specific geometrical characteristics of the prosthetic component, and able to compensate for amount of blurring and illumination gradient. Importantly, the method allows a strong reduction of required user interaction time when compared to traditional segmentation techniques. Its effectiveness and robustness in different image conditions, together with simplicity and fast implementation, make this prosthetic component segmentation procedure promising and suitable for multiple clinical applications including assessment of in vivo joint kinematics in a variety of cases. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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