Geometric distortion of digital angiography image

被引:0
|
作者
Lei, TH
Simard, JM
Sewchand, W
Mathis, JM
机构
关键词
digital angiography; geometric distortion; image fusion; cursor projection;
D O I
10.1117/12.273990
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Digital angiography remains valuable in a diagnostic environment where anatomical definition is important. However it is not sufficiently reliable in circumstances (such as stereotactic application) where precise geometry is important. The geometric distortion of digital angiography is mainly caused by the inherent, non-uniform electromagnetic field of the Image Intensifier board. In this paper we quantify this distortion so as to evaluate its clinical relevance. We utilize image fusion with fiducial markers and image exploration with cursor projection in this investigation. Fiducial markers on the images were normalized first and then used as baselines to scale and orient the corresponding images so they could be accurately registered, superimposed, and subtracted. Image exploration with cursor projection allowed for easy identification of the same point on corresponding images, which provided quantitative evaluation of geometric differences between digital and analogue angiography images. Based on our study, we concluded: 1) Compared with MRI geometric distortion of as much as 2 mm, digital angiography is clinically appropriate for stereotactic application; 2) With an improved test object (reducing the vertical and horizontal lines which form the square grids from the current thickness of 0.8 mm), the results would be more accurate.
引用
收藏
页码:247 / 255
页数:9
相关论文
共 50 条
  • [21] Correction of geometric lens distortion through image warping
    Lucchese, L
    Mitra, SK
    ISPA 2003: PROCEEDINGS OF THE 3RD INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS, PTS 1 AND 2, 2003, : 516 - 521
  • [22] Nonlinear geometric warping of the mask image: A new method for reducing misregistration artifacts in digital subtraction angiography
    Hayashi N.
    Sakai T.
    Kitagawa M.
    Inagaki R.
    Sadato N.
    Ishii Y.
    Nishimoto Y.
    Tanaka M.
    Fukushima T.
    Komuro H.
    Ogura H.
    Kobayashi H.
    Kubota T.
    CardioVascular and Interventional Radiology, 1998, 21 (2) : 138 - 141
  • [23] Image registration for digital subtraction angiography
    Meijering, EHW
    Zuiderveld, KJ
    Viergever, MA
    INTERNATIONAL JOURNAL OF COMPUTER VISION, 1999, 31 (2-3) : 227 - 246
  • [24] Image Registration for Digital Subtraction Angiography
    Erik H.W. Meijering
    Karel J. Zuiderveld
    Max A. Viergever
    International Journal of Computer Vision, 1999, 31 : 227 - 246
  • [25] DIGITAL IMAGE GEOMETRIC TRANSFORMATION.
    Green, William B.
    1600, (15):
  • [26] Color distortion of digital image and its detection
    Yanhui, Xia
    Zhengyou, Wang
    Wan, Wang
    Jin, Wang
    Zheng, Wan
    Telkomnika - Indonesian Journal of Electrical Engineering, 2013, 11 (08): : 4565 - 457
  • [27] Correcting Geometric Distortion and Reflection Components in an Image of a Folded Print
    Ariga, Suguru
    Manabe, Yoshitsugu
    Yata, Noriko
    INTERNATIONAL WORKSHOP ON ADVANCED IMAGE TECHNOLOGY (IWAIT) 2019, 2019, 11049
  • [28] Geometric directional distortion for full reference image quality assessment
    Cheng, G.
    Cheng, L.
    ELECTRONICS LETTERS, 2009, 45 (25) : 1305 - 1306
  • [29] Geometric Distortion Insensitive Image Watermarking in Affine Covariant Regions
    Gao, Xinbo
    Deng, Cheng
    Li, Xuelong
    Tao, Dacheng
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 2010, 40 (03): : 278 - 286
  • [30] OPTIMAL WINDOW FUNCTIONS FOR IMAGE CORRELATION IN THE PRESENCE OF GEOMETRIC DISTORTION
    MOSTAFAVI, H
    IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING, 1979, 27 (02): : 163 - 169