High-Performance and Real-Time Volume Rendering in CUDA

被引：0

作者：

Zhao, Yue ^{[1
]}

Cui, Xiaoyu ^{[1
]}

Cheng, Ying ^{[1
]}

机构：

[1] Northeastern Univ, Sino Dutch Biomed & Informat Engn Sch, Shenyang, Peoples R China

来源：

PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND INFORMATICS, VOLS 1-4 | 2009年

关键词：

volume rendering; ray casting; GPU; CUDA;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In order to improve the image quality and rendering speed, how to deal with a large scale of voxel computation is a challenge for programmers who work at medical image visualization. CUDA is a parallel programming model and software environment designed to overcome this challenge while maintaining a low learning curve for programmers familiar with standard programming languages such as C. In this paper, we propose an optimization algorithm of volume ray casting using CUDA; compare the performance to previous implementation in old version of GPU. The experiments show that our method can achieve a high image quality and rendering speed.

引用

页码：225 / 228

页数：4

共 50 条

[41] Real-time isosurface rendering of smooth fields [J].

Susumu Nakata ;

Shohei Aoyama ;

Ryosuke Makino ;

Kyoko Hasegawa ;

Satoshi Tanaka .

Journal of Visualization, 2012, 15 :179-187

[42] A real-time multigrid finite hexahedra method for elasticity simulation using CUDA [J].

Dick, Christian ;

Georgii, Joachim ;

Westermann, Ruediger .

SIMULATION MODELLING PRACTICE AND THEORY, 2011, 19 (02) :801-816

[43] FPGA-Accelerated Real-time Volume Rendering for 3D Medical Image [J].

Xing, Jianguo ;

Liu, Shufang ;

Zhao, Wenmin .

2010 3RD INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND INFORMATICS (BMEI 2010), VOLS 1-7, 2010, :273-276

[44] High-performance watershed delineation algorithm for GPU using CUDA and OpenMP [J].

Kotyra, Bartlomiej .

ENVIRONMENTAL MODELLING & SOFTWARE, 2023, 160

[45] High-performance cone beam reconstruction using CUDA compatible GPUs [J].

Okitsu, Yusuke ;

Ino, Fumihiko ;

Hagihara, Kenichi .

PARALLEL COMPUTING, 2010, 36 (2-3) :129-141

[46] LBcuda: A high-performance CUDA port of LBsoft for simulation of colloidal systems [J].

Bonaccorso, Fabio ;

Lauricella, Marco ;

Montessori, Andrea ;

Amati, Giorgio ;

Bernaschi, Massimo ;

Spiga, Filippo ;

Tiribocchi, Adriano ;

Succi, Sauro .

COMPUTER PHYSICS COMMUNICATIONS, 2022, 277

[47] Real-time volume rendering of time-varying data using a fragment-shader compression approach [J].

Binotto, APD ;

Comba, JLD ;

Freitas, CMD .

PVG 2003 PROCEEDINGS, 2003, :69-75

[48] CUDA-based Real-time Face Recognition System [J].

Ren Meng ;

Zhang Shengbing ;

Lei Yi ;

Zhang Meng .

2014 FOURTH INTERNATIONAL CONFERENCE ON DIGITAL INFORMATION AND COMMUNICATION TECHNOLOGY AND IT'S APPLICATIONS (DICTAP), 2014, :237-241

[49] REAL-TIME CORNER DETECTION ON MOBILE PLATFORMS USING CUDA [J].

Chahuara, Hector ;

Rodriguez, Paul .

PROCEEDINGS OF THE 2018 IEEE 25TH INTERNATIONAL CONFERENCE ON ELECTRONICS, ELECTRICAL ENGINEERING AND COMPUTING (INTERCON 2018), 2018,

[50] Real-time Simulation of Radiological Images Using CUDA Technology [J].

Gianaria, Elena ;

Gallio, Elena .

23RD EUROMICRO INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED, AND NETWORK-BASED PROCESSING (PDP 2015), 2015, :669-673

← 1 2 3 4 5 →