Real-time 3D cone beam reconstruction

被引:0
|
作者
Stsepankou, D [1 ]
Kornmesser, K [1 ]
Hesser, J [1 ]
Männer, R [1 ]
机构
[1] Univ Mannheim, Inst Computat Med, D-68131 Mannheim, Germany
关键词
cone-beam reconstruction; FBP; iterative reconstruction; real-time reconstruction; FPGA; hardware-acceleration;
D O I
暂无
中图分类号
TL [原子能技术]; O571 [原子核物理学];
学科分类号
0827 ; 082701 ;
摘要
The paper presents a comparison of filtered backprojection and iterative approaches (modified SIRT and OSEM) where backprojection is performed on FPGA hardware and forward projection is realized by a graphics card. The FPGA-architecture allows scaling parallel processing of the backprojection with a constant memory bandwidth and it performs its task about a factor of 6 faster than conventional graphics card architectures (Using a Xilinx Virtex II 6000 compared to a floating-point implementation on a graphics hardware). For the forward projection a graphics card (with NVIDIA GeForce FX 5900) is used. The system reconstructs a volume of 256(3) voxels and 60 projections (512(2)) within 6 seconds for each backprojection step and 12.5 s for the forward projection. As assumed filtered backprojection is the fastest method but shows most artifacts. SIRT and OSEM generate results with suppressed artifacts and require between 4 (SIRT) and 3 (OSEM) minutes for reconstruction. The limited precision of on the FPGA does not lead to any degradation in the reconstructed image quality.
引用
收藏
页码:3648 / 3652
页数:5
相关论文
共 50 条
  • [1] Real-time 3D cone-beam reconstruction using GPU's
    Stsepankou, D.
    Hesser, J.
    Boda-Heggemann, J.
    Wertz, H. -J.
    Lohr, F.
    Wenz, F.
    ONKOLOGIE, 2008, 31 : 177 - 178
  • [2] StereoScan: Dense 3d Reconstruction in Real-time
    Geiger, Andreas
    Ziegler, Julius
    Stiller, Christoph
    2011 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), 2011, : 963 - 968
  • [3] DenseMatch: a dataset for real-time 3D reconstruction
    Lombardi, Marco
    Savardi, Mattia
    Signoroni, Alberto
    DATA IN BRIEF, 2021, 39
  • [4] Real-Time Active Multiview 3D Reconstruction
    Ide, Kai
    Sikora, Thomas
    PROCEEDINGS OF INTERNATIONAL CONFERENCE ON COMPUTER VISION IN REMOTE SENSING, 2012, : 203 - 208
  • [5] Real-time active 3D shape reconstruction for 3D video
    Wu, X
    Matsuyama, T
    ISPA 2003: PROCEEDINGS OF THE 3RD INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS, PTS 1 AND 2, 2003, : 186 - 191
  • [6] Real-time 3D Traffic Cone D'tection for Autonomous Driving
    Dhall, Ankit
    Dai, Dengxin
    Van Gool, Luc
    2019 30TH IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV19), 2019, : 494 - 501
  • [7] REAL-TIME 3D BODY RECONSTRUCTION FOR IIYIMERSIVE TV
    Waizenegger, W.
    Feldmann, I.
    Schreer, O.
    Kauff, P.
    Eisert, P.
    2016 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2016, : 360 - 364
  • [8] Real-Time 3D Reconstruction Method for Holographic Telepresence
    Fadzli, Fazliaty Edora
    Ismail, Ajune Wanis
    Abd Karim Ishigaki, Shafina
    Nor'a, Muhammad Nur Affendy
    Aladin, Mohamad Yahya Fekri
    APPLIED SCIENCES-BASEL, 2022, 12 (08):
  • [9] Real-Time 3D Model Reconstruction and Mapping for Fashion
    Makarov, Ilya
    Chernyshev, Daniil
    2020 43RD INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING (TSP), 2020, : 133 - 138
  • [10] Real-Time 3D PET Image with Pseudoinverse Reconstruction
    Lopez-Montes, Alejandro
    Galve, Pablo
    Manuel Udias, Jose
    Cal-Gonzalez, Jacobo
    Jose Vaquero, Juan
    Desco, Manuel
    Herraiz, Joaquin L.
    APPLIED SCIENCES-BASEL, 2020, 10 (08):