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RBF-based representation of volumetric data: Application in visualization and segmentation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2002) 2489 300-307
DOI: 10.1007/3-540-45787-9_38
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Abstract

A new scheme of data-driven segmentation is proposed, which is based on detection of object boundary, and volumetric pattern reconstruction as implicit function by using the detected object boundary and the radial basis functions (RBF). By using clinical X-ray CT data, applications in visualization of the pancreatic duct by MINIP of curved thin-slab and in liver segmentation are shown.

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Masutani, Y. (2002). RBF-based representation of volumetric data: Application in visualization and segmentation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2489, pp. 300–307). Springer Verlag. https://doi.org/10.1007/3-540-45787-9_38

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