Constant Z line texture mapping in interactive visualization of medical images

Helminen, H.; Alakuijala, Jyrki; Laitinen, Juha; Sallinen, S.

doi:10.1109/iembs.1995.579458

Cited by 4 publications

(6 citation statements)

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“…More works of 3D visualization such as texture mapping and semi-automatic image segmentation. Texture mapping technique constructs 3D object by interpreting the spatial relationships of 2D binary images and generate 3D visualization of perspective-mapped from each image layer [4]. Whereas, semi-automatic image segmentation allows the doctor to make the segmentation of subject by the area of interest [5].…”

Section: Introductionmentioning

confidence: 99%

“…Whereas, semi-automatic image segmentation allows the doctor to make the segmentation of subject by the area of interest [5]. Therefore, the major drawback of these methods is the computational cost of real time resampling for making texture in 3D object reconstruction process [4], and infeasibility for each individual segmentation [5] (see Figure 1b and 1c). The alternative choice for 3D volumetric rendering is marching cubes.…”

Section: Introductionmentioning

confidence: 99%

“…(a) Bone fracture displays in 3D visualization software, the Sobel-filter is used for detecting the outline of bone[11]; (b) CT image slides and (c) 3D visualization[4].…”

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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: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Marching Cubes and Histogram Pyramids for 3D Medical Visualization

Visutsak¹

2020

Preprint

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show abstract

“…More works of 3D visualization such as texture mapping and semi-automatic image segmentation. Texture mapping technique constructs 3D object by interpreting the spatial relationships of 2D binary images and generates 3D visualization of perspective-mapped from each image layer [ 4 ]. Whereas, semi-automatic image segmentation allows the doctor to make the segmentation of subject by the area of interest [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

“…Whereas, semi-automatic image segmentation allows the doctor to make the segmentation of subject by the area of interest [ 5 ]. Therefore, the major drawback of these methods is the computational cost of real time resampling for making texture in 3D object reconstruction process [ 4 ], and infeasibility for each individual segmentation [ 5 ] (see Figure 1 b,c). The alternative choice for 3D volumetric rendering is marching cubes.…”

Section: Introductionmentioning

confidence: 99%

Marching Cubes and Histogram Pyramids for 3D Medical Visualization

Visutsak

2020

J. Imaging

View full text Add to dashboard Cite

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.

show abstract