1993
DOI: 10.1016/0895-6111(93)90059-v
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Using kriging for 3d medical imaging

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Cited by 58 publications
(37 citation statements)
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“…Free form deformation techniques, as dual kriging [25], [26] can be applied with 3D reconstructed points to deform detailed vertebral primitives and obtain surface or solid continuum meshes [12], [18], [27], [28]. Dual kriging is a linear unbiased estimator of a random function, and can be used as a general interpolation technique.…”
mentioning
confidence: 99%
“…Free form deformation techniques, as dual kriging [25], [26] can be applied with 3D reconstructed points to deform detailed vertebral primitives and obtain surface or solid continuum meshes [12], [18], [27], [28]. Dual kriging is a linear unbiased estimator of a random function, and can be used as a general interpolation technique.…”
mentioning
confidence: 99%
“…Kriging has been studied in the context of geostatistics [312], [314], [315], cartography [316], and meteorology [317] and is closely related to interpolation by thin-plate splines or radial basis functions [318], [319]. In medical imaging, the technique seems to have been applied first by Stytz and Parrot [320], [321]. More recent studies related to kriging in signal and image processing include those of Kerwin and Prince [322] and Leung et al [323].…”
Section: Development Of Alternative Interpolation Methodsmentioning
confidence: 99%
“…In order to circumvent the segmentation, several gray-scale shape-based approaches were presented [11,12,[16][17][18]. In the method of Grevera and Udupa [11,12], two complementary steps, called lifting and collapsing, were respectively added at the beginning and the end of the Raya-Udupa algorithm.…”
Section: Introductionmentioning
confidence: 99%
“…This method is similar to Goshtasby's method, and thus has similar limitations. M. R. Stytz's interpolation method [18] is based on a statistical procedure called kriging. Aside from its intensive computation, this method also relies on the fixed polynomial-based structure model and points in different structures are involved in interpolation.…”
Section: Introductionmentioning
confidence: 99%
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