An approach to 2D/3D registration of a vertebra in 2D x-ray fluoroscopies with 3D CT images

被引:0
|
作者
Weese, J
Buzug, TM
Lorenz, C
Fassnacht, C
机构
关键词
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 use pre-operative images during an operation for navigation, they must be registered to the patient's coordinate system in the operating theater or to an intra-operative image. One problem in this area is the registration of a vertebra in intra-operatively acquired x-ray fluoroscopies with 3D CT images obtained before the intervention. The result can be used to support the placement of pedicle screws in spine surgery or stents in Transfemoral Endovascular Aneurysm Management (TEAM). For this 2D/3D registration task a novel voxel-based method is presented. Using a small part of the CT image covering the vertebra only, pseudo projections are computed and the resulting vertebra template is compared to the x-ray projection. A new similarity measure was introduced for that purpose, because commonly used measures did not work. The method allows for a much faster implementation than other voxel-based 2D/3D registration approaches, because they use the entire CT image to calculate pseudo projections. Unlike contour-based 2D/3D registration approaches, the method does not require segmentation of the vertebra's contours in the x-ray projection. Application and performance of the proposed registration method are demonstrated by application to images of a TEAM procedure.
引用
收藏
页码:119 / 128
页数:10
相关论文
共 50 条
  • [1] 2D/3D registration based on biplanar X-ray and CT images for surgical navigation
    Yang, Demin
    Shi, Haochen
    Zeng, Bolun
    Chen, Xiaojun
    [J]. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2024, 257
  • [2] Gradient-based registration of 3D MR and 2D x-ray images
    Tomazevic, D
    Likar, B
    Pernus, F
    [J]. CARS 2001: COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2001, 1230 : 327 - 332
  • [3] Rigid 2D/3D registration of intraoperative digital X-ray images and preoperative CT and MR images
    Tomazevic, D
    Likar, B
    Pernus, F
    [J]. MEDICAL IMAGING 2002: IMAGE PROCESSING, VOL 1-3, 2002, 4684 : 507 - 517
  • [4] Registration of 2D x-ray images to 3D MRI by generating pseudo-CT data
    van der Bom, M. J.
    Pluim, J. P. W.
    Gounis, M. J.
    de Kraats, E. B. van
    Sprinkhuizen, S. M.
    Timmer, J.
    Homan, R.
    Bartels, L. W.
    [J]. PHYSICS IN MEDICINE AND BIOLOGY, 2011, 56 (04): : 1031 - 1043
  • [5] A novel approach to 2D/3D registration of X-ray images using Grangeat's relation
    Frysch, Robert
    Pfeiffer, Tim
    Rose, Georg
    [J]. MEDICAL IMAGE ANALYSIS, 2021, 67
  • [6] A novel approach to 2D/3D registration of X-ray images using Grangeat's relation
    Frysch, Robert
    Pfeiffer, Tim
    Rose, Georg
    [J]. Medical Image Analysis, 2021, 67
  • [7] 2D/3D registration of neonatal brain images
    Vansteenkiste, Ewout
    Vandemeulebroucke, Jef
    Philips, Wilfried
    [J]. BIOMEDICAL IMAGE REGISTRATION, PROCEEDINGS, 2006, 4057 : 272 - 279
  • [8] X-CTRSNet: 3D cervical vertebra CT reconstruction and segmentation directly from 2D X-ray images
    Ge, Rongjun
    He, Yuting
    Xia, Cong
    Xu, Chenchu
    Sun, Weiya
    Yang, Guanyu
    Li, Junru
    Wang, Zhihua
    Yu, Hailing
    Zhang, Daoqiang
    Chen, Yang
    Luo, Limin
    Li, Shuo
    Zhu, Yinsu
    [J]. KNOWLEDGE-BASED SYSTEMS, 2022, 236
  • [9] Self-Supervised 2D/3D Registration for X-Ray to CT Image Fusion
    Jaganathan, Srikrishna
    Kukla, Maximilian
    Wang, Jian
    Shetty, Karthik
    Maier, Andreas
    [J]. 2023 IEEE/CVF WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV), 2023, : 2787 - 2797
  • [10] Spectral-based 2D/3D X-ray to CT image rigid registration
    Freiman, M.
    Pele, O.
    Hurvitz, A.
    Werman, M.
    Joskowicz, L.
    [J]. MEDICAL IMAGING 2011: VISUALIZATION, IMAGE-GUIDED PROCEDURES, AND MODELING, 2011, 7964