ISSN 1004-4140
CN 11-3017/P
BI Wen-yuan, CHEN Zhi-qiang, ZHANG Li, XING Yu-xiang. Real-Time Visualize the 3D Reconstruction Procedure Using CUDA[J]. CT Theory and Applications, 2010, 19(2): 1-8.
Citation: BI Wen-yuan, CHEN Zhi-qiang, ZHANG Li, XING Yu-xiang. Real-Time Visualize the 3D Reconstruction Procedure Using CUDA[J]. CT Theory and Applications, 2010, 19(2): 1-8.

Real-Time Visualize the 3D Reconstruction Procedure Using CUDA

Funds: 

National Natural Science Foundation of China (10575059, 60772051, 10905030, 60871084)

Key Faculty Supporting Program of Tsinghua University

More Information
  • Received Date: January 19, 2010
  • Available Online: December 12, 2022
  • In some online control CT systems,people need to tackle the problems of median reconstruction results during the CT scanning. It requires a very high computing capacity to realize an online reconstruction and immediate volume rendering. This paper presents a complete Real-Time Visualization method for Cone-beam CT with latest GPU Tesla C1060. Unlike the former solutions,this method can visualize the intermediate results of the reconstruction procedure during scanning each projection. We can clearly see how the filtered projection data group forms a 3D volumetric reconstruction,and how broken projections and bunch of error pixels affect the final result. The final volume rendering result is obtained as soon as the scanning is completed. This method can also be a good alternative for 4D CT visualization.
  • Related Articles

    [1]LIU Fangtao, LIU Heshi, CHEN Yong, JIANG Jiang, WANG Lingyun, DONG Haipeng, ZHANG Yong, ZHANG Xuan, KONG Deyan, CHANG Rui. Image Quality Assessment for Deep Learning Image Reconstruction Algorithm: A Phantom Study[J]. CT Theory and Applications, 2022, 31(3): 351-356. DOI: 10.15953/j.ctta.2021.061
    [2]FANG Shu, CHEN Linyu, CHEN Yong, DONG Haipeng, WANG Lan, MIN Jihua. Phantom Study on the Influence of CT Model and Tube Voltage on Image Quality[J]. CT Theory and Applications, 2022, 31(3): 345-350. DOI: 10.15953/j.ctta.2021.042
    [3]YANG Zhengjun, ZHANG Ang, CHEN Yong, JIANG Jiang, WANG Lingyun, ZHANG Yong, ZHANG Xuan, QI Xiaofeng. The Effect of Radiation Dose and Tube Potential on Image Quality of CT: A Task-based Image Quality Assessment[J]. CT Theory and Applications, 2022, 31(2): 211-217. DOI: 10.15953/j.ctta.2021.060
    [4]ZENG Bo, LI Liang, CHEN Zhi-qiang. Using IMAGE Data for Observe the Plasma Density Distribution of the Geomagnetic Equatorial Plane[J]. CT Theory and Applications, 2017, 26(1): 1-8. DOI: 10.15953/j.1004-4140.2017.26.01.01
    [5]ZHENG Hai-liang, LI Xing-dong, WANG Zhe, WEI Cun-feng, CHANG Tong. A Practice on Parallel Reconstruction Algorithm of High Resolution Cone Beam Micro-CT Based on NVDIA GPU Graphic Card[J]. CT Theory and Applications, 2014, 23(5): 805-814.
    [7]ZHANG Hai-bo, FU Chuan-ming, CHEN Lun-gang, XU Lin, WANG Kai-hua. Pitch Optimizing Combination of Thoracic and Abdominal CTA Image Quality and Radiation Dose Discussion[J]. CT Theory and Applications, 2012, 21(2): 305-311.
    [8]ZHOU Ze-jun, HU Yong-sheng, GAO Bin, CHAO Hui-ming. Expounding the Pitch,Thickness,Reconstructing Space of Multislice CT and Influencing the Imaging Quality[J]. CT Theory and Applications, 2008, 17(1): 21-26.
    [9]Ming JIANG, Zao-tian ZHANG. Review on POCS Algorithms for Image Reconstruction[J]. CT Theory and Applications, 2003, 12(1): 51-55.
    [10]Wang Ben, Wang Ge. Image Reconstruction Algorithms for Cone-Beam CT[J]. CT Theory and Applications, 2001, 10(2): 1-8.

Catalog

    Article views (690) PDF downloads (8) Cited by()
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return