2011
DOI: 10.3109/10929088.2011.579791
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Properties of the target registration error for surface matching in neuronavigation

Abstract: Objective: Surface matching is a relatively new method of spatial registration in neuronavigation. Compared to the traditional point matching method, surface matching does not use fiducial markers that must be fixed to the surface of the head before image scanning, and therefore does not require an image acquisition specifically dedicated for navigation purposes. However, surface matching is not widely used clinically, mainly because there is still insufficient knowledge about its application accuracy. This st… Show more

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Cited by 21 publications
(26 citation statements)
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“…The accuracy of surface-based registration is closely correlated with the scanning areas. As previously reported [2], the registration accuracy decreases away from the center of the point clouds that are used for matching. Recently, a portable 3D scanner has been used to acquire a point cloud from the skin surface of the entire head to achieve sufficient registration accuracy [1].…”
Section: Introductionmentioning
confidence: 54%
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“…The accuracy of surface-based registration is closely correlated with the scanning areas. As previously reported [2], the registration accuracy decreases away from the center of the point clouds that are used for matching. Recently, a portable 3D scanner has been used to acquire a point cloud from the skin surface of the entire head to achieve sufficient registration accuracy [1].…”
Section: Introductionmentioning
confidence: 54%
“…However, the plastic phantom with no fiducial markers for simulating practical application was scanned using a high-resolution 64-slice CT scanner with a slice thickness of 0.625 mm. As in previous studies [1][2][3][4], the target registration error (TRE) was calculated as the metric of registration accuracy using Equation (1):…”
Section: Resultsmentioning
confidence: 99%
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