Smooth voxel surface for medical volumetric rendering

Visutsak, Porawat; Pensiri, Fuangfar; Chaowalit, Orawan

doi:10.1117/12.2549468

Cited by 3 publications

(7 citation statements)

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“…These unused voxels affect for causes of surface roughness in 3D reconstruction. Figure 13 shows the comparison of surface rendering between the marching cubes [14] and the marching cubes with histogram pyramids, by reducing the unused voxel, the marching cubes with histogram pyramids can generate the smooth surface. Figure 13.…”

Section: Resultsmentioning

confidence: 99%

“…Figure 13. (a) The surface rendering using the traditional marching cubes [14]; (b) The surface rendering using the marching cubes with histogram pyramids.…”

Section: Resultsmentioning

confidence: 99%

“…2D medical images (slides) contained the scalar value of gray scale will be used to construct the cubes based on their indexes correspond to the configuration of 15 fundamental cubes as shown in Figure 3. Based on [13], [14], a cube consists of 8 vertexes that can be contained 2 values of 0 and 1; noted that the value of 0 implies that there is no information conveyed in the vertex (the vertex will not be used to form the next cube for 3D object rendering), whereas the value of 1 implies that the vertex contains the information and will be used to configure the next cube as the connecting vertex. The first step of vertexes configuration to form the cube begins with connecting the upper slice; the first 4 vertexes locate in lower slice and the second 4 vertexes will be in the upper one as illustrated in Figure 4.…”

Section: Marching Cubesmentioning

confidence: 99%

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Marching Cubes and Histogram Pyramids for 3D Medical Visualization

Visutsak¹

2020

Preprint

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This paper aims to implement histogram pyramids with marching cubes method for 3D medical volumetric rendering. The histogram pyramids are used for feature extraction by segmenting the image into the hierarchical order like the pyramid shape. The histogram pyramids can decrease the number of sparse matrixes that will occur during voxel manipulation. The important feature of the histogram pyramids is the direction of segments in the image. This feature will be then used for connecting pixels (2D) to form up voxel (3D) during marching cubes implementation. The proposed method is fast and easy to implement and it also produces a smooth result (compared to the traditional marching cubes technique). The experimental results show that time consuming for generating 3D model can be reduced by 15.59% in average. The paper also shows the comparison between the surface rendering using the traditional marching cubes and the marching cubes with histogram pyramids. Therefore, for the volumetric rendering such as 3D medical models and terrains where a large number of lookups in 3D grids are performed, this method is a particularly good choice for generating the smooth surface of 3D object.

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Section: Resultsmentioning

confidence: 99%

“…Figure 13. (a) The surface rendering using the traditional marching cubes [14]; (b) The surface rendering using the marching cubes with histogram pyramids.…”

Section: Resultsmentioning

confidence: 99%

Section: Marching Cubesmentioning

confidence: 99%

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Marching Cubes and Histogram Pyramids for 3D Medical Visualization

Visutsak¹

2020

Preprint

Self Cite

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show abstract

“…These unused voxels affect for causes of surface roughness in 3D reconstruction. Figure 13 shows the comparison of surface rendering between the marching cubes [ 14 ] and the marching cubes with histogram pyramids, by reducing the unused voxel, the marching cubes with histogram pyramids can generate the smooth surface. To measure the smoothness of surface, [ 19 ] proposed the edge point computation and local window to calculate the distance between the vertices.…”

Section: Resultsmentioning

confidence: 99%

“…2D medical images (slides) contained the scalar value of gray scale will be used to construct the cubes based on their indexes correspond to the configuration of 15 fundamental cubes as shown in Figure 3 . Based on [ 13 , 14 ], a cube consists of eight vertices that can contain two values of 0 and 1; note that the value of 0 implies that there is no information conveyed in the vertex (the vertex will not be used to form the next cube for 3D object rendering), whereas the value of 1 implies that the vertex contains the information and will be used to configure the next cube as the connecting vertex.…”

Section: Marching Cubesmentioning

confidence: 99%

Marching Cubes and Histogram Pyramids for 3D Medical Visualization

Visutsak

2020

J. Imaging

Self Cite

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This paper aims to implement histogram pyramids with marching cubes method for 3D medical volumetric rendering. The histogram pyramids are used for feature extraction by segmenting the image into the hierarchical order like the pyramid shape. The histogram pyramids can decrease the number of sparse matrixes that will occur during voxel manipulation. The important feature of the histogram pyramids is the direction of segments in the image. Then this feature will be used for connecting pixels (2D) to form up voxel (3D) during marching cubes implementation. The proposed method is fast and easy to implement and it also produces a smooth result (compared to the traditional marching cubes technique). The experimental results show the time consuming for generating 3D model can be reduced by 15.59% in average. The paper also shows the comparison between the surface rendering using the traditional marching cubes and the marching cubes with histogram pyramids. Therefore, for the volumetric rendering such as 3D medical models and terrains where a large number of lookups in 3D grids are performed, this method is a particularly good choice for generating the smooth surface of 3D object.

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