A Novel Ray-Casting Algorithm Using Dynamic Adaptive Sampling

Ray-casting algorithm is an important volume rendering algorithm, which is widely used in medical image processing. Aiming to address the shortcomings of the current ray-casting algorithms in 3D reconstruction of medical images, such as slow rendering speed and low sampling efficiency, an improved a...

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Main Authors: Huadeng Wang, Guang Xu, Xipeng Pan, Zhenbing Liu, Rushi Lan, Xiaonan Luo
Format: Article
Language:English
Published: Hindawi-Wiley 2020-01-01
Series:Wireless Communications and Mobile Computing
Online Access:http://dx.doi.org/10.1155/2020/8822624
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spelling doaj-a8ce8d6936e04b90aa98540d7355fefe2020-11-25T03:56:34ZengHindawi-WileyWireless Communications and Mobile Computing1530-86691530-86772020-01-01202010.1155/2020/88226248822624A Novel Ray-Casting Algorithm Using Dynamic Adaptive SamplingHuadeng Wang0Guang Xu1Xipeng Pan2Zhenbing Liu3Rushi Lan4Xiaonan Luo5School of Computer and Information Security, Guilin University of Electronic Technology, Guilin, ChinaSchool of Computer and Information Security, Guilin University of Electronic Technology, Guilin, ChinaSchool of Computer and Information Security, Guilin University of Electronic Technology, Guilin, ChinaSchool of Computer and Information Security, Guilin University of Electronic Technology, Guilin, ChinaSchool of Computer and Information Security, Guilin University of Electronic Technology, Guilin, ChinaNational Local Joint Engineering Research Center of Satellite Navigation and Location Service, ChinaRay-casting algorithm is an important volume rendering algorithm, which is widely used in medical image processing. Aiming to address the shortcomings of the current ray-casting algorithms in 3D reconstruction of medical images, such as slow rendering speed and low sampling efficiency, an improved algorithm based on dynamic adaptive sampling is proposed. By using the central difference gradient method, the corresponding sampling interval is obtained dynamically according to the different sampling points. Meanwhile, a new rendering operator is proposed based on the color value and opacity changes before and after the ray enters the volume element, and the resistance luminosity. Compared with the state of other algorithms, experimental results show that the method proposed in this paper has a faster rendering speed while ensuring the quality of the generated image.http://dx.doi.org/10.1155/2020/8822624
collection DOAJ
language English
format Article
sources DOAJ
author Huadeng Wang
Guang Xu
Xipeng Pan
Zhenbing Liu
Rushi Lan
Xiaonan Luo
spellingShingle Huadeng Wang
Guang Xu
Xipeng Pan
Zhenbing Liu
Rushi Lan
Xiaonan Luo
A Novel Ray-Casting Algorithm Using Dynamic Adaptive Sampling
Wireless Communications and Mobile Computing
author_facet Huadeng Wang
Guang Xu
Xipeng Pan
Zhenbing Liu
Rushi Lan
Xiaonan Luo
author_sort Huadeng Wang
title A Novel Ray-Casting Algorithm Using Dynamic Adaptive Sampling
title_short A Novel Ray-Casting Algorithm Using Dynamic Adaptive Sampling
title_full A Novel Ray-Casting Algorithm Using Dynamic Adaptive Sampling
title_fullStr A Novel Ray-Casting Algorithm Using Dynamic Adaptive Sampling
title_full_unstemmed A Novel Ray-Casting Algorithm Using Dynamic Adaptive Sampling
title_sort novel ray-casting algorithm using dynamic adaptive sampling
publisher Hindawi-Wiley
series Wireless Communications and Mobile Computing
issn 1530-8669
1530-8677
publishDate 2020-01-01
description Ray-casting algorithm is an important volume rendering algorithm, which is widely used in medical image processing. Aiming to address the shortcomings of the current ray-casting algorithms in 3D reconstruction of medical images, such as slow rendering speed and low sampling efficiency, an improved algorithm based on dynamic adaptive sampling is proposed. By using the central difference gradient method, the corresponding sampling interval is obtained dynamically according to the different sampling points. Meanwhile, a new rendering operator is proposed based on the color value and opacity changes before and after the ray enters the volume element, and the resistance luminosity. Compared with the state of other algorithms, experimental results show that the method proposed in this paper has a faster rendering speed while ensuring the quality of the generated image.
url http://dx.doi.org/10.1155/2020/8822624
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