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dc.contributor.authorUherčík, Marián
dc.contributor.authorKybic, Jan
dc.contributor.authorLiebgott, Hervé
dc.contributor.authorCachard, Christian
dc.date.accessioned2012-02-23T10:02:04Z
dc.date.available2012-02-23T10:02:04Z
dc.date.issued2010-08
dc.identifier.citationUHERČÍK, M. - KYBIC, J. - LIEBGOTT, H. - CACHARD, C.: Model Fitting Using RANSAC for Surgical Tool Localization in 3-D Ultrasound Images. IEEE Transactions on Biomedical Engineering. 2010, vol. 57, no. 8, p. 1907-1916. ISSN 0018-9294. DOI: 10.1109/TBME.2010.2046416eng
dc.identifier.urihttp://hdl.handle.net/10467/9190
dc.description.abstractUltrasound guidance is used for many surgical interventions such as biopsy and electrode insertion. We present a method to localize a thin surgical tool such as a biopsy needle or a microelectrode in a 3-D ultrasound image. The proposed method starts with thresholding and model fitting using random sample consensus for robust localization of the axis. Subsequent local optimization refines its position. Two different tool image models are presented: one is simple and fast and the second uses learned a priori information about the tool's voxel intensities and the background. Finally, the tip of the tool is localized by finding an intensity drop along the axis. The simulation study shows that our algorithm can localize the tool at nearly real-time speed, even using a MATLAB implementation, with accuracy better than 1 mm. In an experimental comparison with several alternative localization methods, our method appears to be the fastest and the most robust one. We also show the results on real 3-D ultrasound data from a PVA cryogel phantom, turkey breast, and breast biopsy.eng
dc.language.isocescze
dc.publisherIEEEcze
dc.rights© 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.eng
dc.subjectelectrodeeng
dc.subjectlocalizationeng
dc.subjectneedleeng
dc.subject3-D ultrasoundeng
dc.subjectrandomized algorithmeng
dc.subjectrandom sample consensus (RANSAC)eng
dc.subjectultrasound guidanceeng
dc.titleModel Fitting Using RANSAC for Surgical Tool Localization in 3-D Ultrasound Imagescze
dc.typečlánek z tištěného periodikacze
dc.identifier.doi10.1109/TBME.2010.2046416
dc.identifier.doihttp://dx.doi.org/10.1109/TBME.2010.2046416


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