GPU-based elastic registration

被引：0
|
作者：
Zhang, Jia-Wan [1 ]
Yang, Jia-Dong [1 ]
Sun, Ji-Zhou [1 ]
Zhang, Hong-Ying [2 ]
机构：
[1] School of Computer Science and Technology, Tianjin University, Tianjin 300072, China
[2] College of Aeronautical Automation, Civil Aviation University of China, Tianjin 300300, China
来源：
Tianjin Daxue Xuebao (Ziran Kexue yu Gongcheng Jishu Ban)/Journal of Tianjin University Science and Technology | 2008年 / 41卷 / 08期
关键词：
Computer graphics equipment - Pore pressure - Computer graphics - Program processors;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
It is difficult to employ the elastic registration technique in real time application due to its computation cost. With user-friendly programmability and parallel computation, contemporary graphics processing units (GPU) provide a new strategy to solve the problem above. Based on the characteristics of GPU, a platform was proposed to deal with elastic registration using thin-plate spline as the transformation model. Experiments for 2D registration of monomodal and multimodal images were performed. Results show that by using GPU transformation can be obtained more rapidly than by CPU. Particularly, the processing speed of GPU is higher than that of CPU by over one order of magnitude when dealing with images of large size and high resolution.
引用
收藏
页码：946 / 950
相关论文
共 50 条
  • [31] GPU-based interactive volume cutting
    Ge, Jun
    Jiang, Xiaoming
    Shu, Huazhong
    Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics, 2010, 22 (03): : 428 - 433
  • [32] Cloud GPU-based simulations for SQUAREMR
    Kantasis, George
    Xanthis, Christos G.
    Haris, Kostas
    Heiberg, Einar
    Aletras, Anthony H.
    JOURNAL OF MAGNETIC RESONANCE, 2017, 274 : 80 - 88
  • [33] GPU-based Biomedical Image Processing
    Berezsky, Oleh
    Pitsun, Oleh
    Dubchak, Lesia
    Liashchynskyi, Petro
    Liashchynskyi, Pavlo
    2018 XIVTH INTERNATIONAL CONFERENCE ON PERSPECTIVE TECHNOLOGIES AND METHODS IN MEMS DESIGN (MEMSTECH), 2018, : 96 - 99
  • [34] GPU-Based Linearization of MIMO Arrays
    Tarver, Chance
    Singhal, Arav
    Cavallaro, Joseph R.
    2020 IEEE WORKSHOP ON SIGNAL PROCESSING SYSTEMS (SIPS), 2020, : 260 - 264
  • [35] Mobile GPU-Based Importance Sampling
    Toral, Ozkan Anil
    Ergun, Serkan
    Kurt, Murat
    Ozturk, Aydin
    2014 22ND SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2014, : 510 - 513
  • [36] GPU-Based Gigabit LDPC Decoder
    Keskin, Selcuk
    Kocak, Taskin
    IEEE COMMUNICATIONS LETTERS, 2017, 21 (08) : 1703 - 1706
  • [37] A GPU-based hyperbolic SVD algorithm
    Vedran Novaković
    Sanja Singer
    BIT Numerical Mathematics, 2011, 51 : 1009 - 1030
  • [38] GPU-based normal map generation
    Gumbau, Jesus
    Gonzalez, Carlos
    Chover, Miguel
    GRAPP 2008: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON COMPUTER GRAPHICS THEORY AND APPLICATIONS, 2008, : 62 - 67
  • [39] GPU-based nonlinear ray tracing
    Weiskopf, D
    Schafhitzel, T
    Ertl, T
    COMPUTER GRAPHICS FORUM, 2004, 23 (03) : 625 - 633
  • [40] GPU-based Design for Fingerprint Matching
    Reddy, Yenumula B.
    7TH INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING TECHNOLOGIES (ICCCNT 2016), 2016,
12345