2018
DOI: 10.12988/ces.2018.85214
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Geometric modeling of complex anatomical structures based on implicit functions

Abstract: This paper presents a region-aware modeling (RAM) method based on implicit functions for three-dimensional (3D) geometric modeling of complex anatomical structures. The proposed method consists of two major processes. In the reconstruction process, regions composing the anatomical structure are reconstructed from segmented medical images using an implicit surface reconstruction approach, and the set of obtained implicit functions is organized in a vector implicit function (VIF) structure. Then, a meshing proce… Show more

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Cited by 1 publication
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“…An alternative is to use implicit functions [24]. This is done by isolating each region first, then extracting a cloud of points from each region using the Marching Cubes algorithm, and finally constructing an implicit representation from the point clouds from which the surface can be extracted.…”
Section: Geometric Modeling Of Natural Heterogeneous Objectsmentioning
confidence: 99%
See 1 more Smart Citation
“…An alternative is to use implicit functions [24]. This is done by isolating each region first, then extracting a cloud of points from each region using the Marching Cubes algorithm, and finally constructing an implicit representation from the point clouds from which the surface can be extracted.…”
Section: Geometric Modeling Of Natural Heterogeneous Objectsmentioning
confidence: 99%
“…This is done by isolating each region first, then extracting a cloud of points from each region using the Marching Cubes algorithm, and finally constructing an implicit representation from the point clouds from which the surface can be extracted. The RAM method (Region-aware modeling) described in [24] organizes implicit functions, which represent different regions of the heterogeneous object, into a vector of implicit functions by means of which the computational model is manipulated. This representation allows regions to be considered as a whole instead of isolated parts of the heterogeneous object, for example, in the model of Figure 5-b) liver tumors are modeled as an integral part of a human liver.…”
Section: Geometric Modeling Of Natural Heterogeneous Objectsmentioning
confidence: 99%