Surface Reconstruction of In Vivo Geometry Based on Medical Images Using Multilevel Radial Basis Functions
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Compactly supported radial basis functions (RBFs) were used for surface reconstruction of in vivo geometry, translated from two dimensional (2D) medical images. RBFs provide a flexible approach to interpolation and approximation for problems featuring unstructured data in three-dimensional space. Point-set data are obtained from the contour of segmented 2-D slices. Multilevel RBFs allow smoothing and fill in missing data of the original geometry while maintaining the overall structure shape.
2020 ◽
Vol 110
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pp. 95-103
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2005 ◽
Vol 39
(1-3)
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pp. 289-305
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2001 ◽
Vol 123
(4)
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pp. 920-927
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2001 ◽
Vol 19
(1-2)
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pp. 87-96
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2004 ◽
pp. 217-231
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