A new technique for multi-modal 3D image registration

被引：0
|
作者：
Stippel, G [1 ]
Ellsmere, J
Warfield, SK
Wells, WM
Philips, W
机构：
[1] State Univ Ghent, Dept TELIN, B-9000 Ghent, Belgium
[2] Harvard Univ, Brigham & Womens Hosp, Sch Med, Boston, MA 02115 USA
来源：
BIOMEDICAL IMAGE REGISTRATION | 2003年 / 2717卷
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper we address the problem of multi-modal co-registration of medical 3D images. Several techniques for the rigid registration of multi-modal images have been developed; in one of those the Kullback-Leibler distance is used to align 2D-8D angiographic images [1]. In this paper we investigate the performance of this technique on the registration of pairs of 3D CT/US images. We study the effects of various image perturbations on the performance of the registration, and obtain promising results.
引用
收藏
页码：244 / 253
页数：10
相关论文
共 50 条
  • [1] Learning Similarity Measure for Multi-Modal 3D Image Registration
    Lee, Daewon
    Hofmann, Matthias
    Steinke, Florian
    Altun, Yasemin
    Cahill, Nathan D.
    Schoelkopf, Bernhard
    CVPR: 2009 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-4, 2009, : 186 - +
  • [2] Fast and Robust Multi-modal Image Registration for 3D Knee Kinematics
    Saadat, Shabnam
    Pickering, Mark R.
    Perriman, Diana
    Scarvell, Jennie M.
    Smith, Paul N.
    2017 INTERNATIONAL CONFERENCE ON DIGITAL IMAGE COMPUTING - TECHNIQUES AND APPLICATIONS (DICTA), 2017, : 575 - 579
  • [3] Similarity measures in voxel intensity based 3D multi-modal medical image registration
    Qin, Bin-Jie
    Zhuang, Tian-Ge
    Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, 2002, 36 (07): : 942 - 945
  • [4] A NEW SIMILARITY MEASURE FOR MULTI-MODAL IMAGE REGISTRATION
    Pickering, Mark R.
    2011 18TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2011,
  • [5] Evaluation of 3D Feature Descriptors for Multi-modal Data Registration
    Kim, Hansung
    Hilton, Adrian
    2013 INTERNATIONAL CONFERENCE ON 3D VISION (3DV 2013), 2013, : 119 - 126
  • [6] BOOSTED METRIC LEARNING FOR 3D MULTI-MODAL DEFORMABLE REGISTRATION
    Michel, Fabrice
    Bronstein, Michael
    Bronstein, Alex
    Paragios, Nikos
    2011 8TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO, 2011, : 1209 - 1214
  • [7] Choice of similarity measure in voxel intensity based 3D multi-modal medical image registration
    Qin, Bin-Jie
    Zhuang, Tian-Ge
    Hangtian Yixue Yu Yixue Gongcheng/Space Medicine and Medical Engineering, 2002, 15 (04):
  • [8] A MULTI-MODAL AUTOMATIC IMAGE REGISTRATION TECHNIQUE BASED ON COMPLEX WAVELETS
    Ghantous, Milad
    Ghosh, Somik
    Bayoumi, Magdy
    2009 16TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-6, 2009, : 173 - 176
  • [9] HYBRID 3D FEATURE DESCRIPTION AND MATCHING FOR MULTI-MODAL DATA REGISTRATION
    Kim, Hansung
    Hilton, Adrian
    2014 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2014, : 3493 - 3497
  • [10] Weakly-supervised learning of multi-modal features for regularised iterative descent in 3D image registration
    Blendowski, Max
    Hansen, Lasse
    Heinrich, Mattias P.
    MEDICAL IMAGE ANALYSIS, 2021, 67
12345