Spline-based elastic image registration: integration of landmark errors and orientation attributes

被引:36
|
作者
Rohr, K [1 ]
Fornefett, M
Stiehl, HS
机构
[1] Int Univ Germany, Sch Informat Technol, Comp Vis & Graph Grp, D-76646 Bruchsal, Germany
[2] Univ Hamburg, Fachbereich Informat, Arbeitsbereich Kognit Syst, D-22527 Hamburg, Germany
关键词
medical image registration; splines; landmark localization errors; orientation attributes; tomographic images;
D O I
10.1016/S1077-3142(03)00048-1
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We introduce a spline-based elastic registration scheme which is based on a well-defined minimizing functional for which the solution can be stated analytically. In this work, we consider the integration of anisotropic landmark errors as well as additional attributes at landmarks. As attributes we use orientations at landmarks and we incorporate the corresponding constraints through scalar products. With our approximation scheme it is thus possible to integrate statistical as well as geometric information as additional knowledge in elastic image registration. On the basis of synthetic as well as real tomographic images we show that this additional knowledge can significantly improve the registration result. In particular, we demonstrate that our scheme incorporating orientation attributes can preserve the shape of rigid structures (such as bone) embedded in an otherwise elastic material. This is achieved without selecting further landmarks and without a full segmentation of the rigid structures. (C) 2003 Elsevier Science (USA). All rights reserved.
引用
收藏
页码:153 / 168
页数:16
相关论文
共 50 条
  • [1] Approximating thin-plate splines for elastic registration: Integration of landmark errors and orientation attributes
    Rohr, K
    Fornefett, M
    Stiehl, HS
    [J]. INFORMATION PROCESSING IN MEDICAL IMAGING, PROCEEDINGS, 1999, 1613 : 252 - 265
  • [2] Spline-based image registration
    Szeliski, R
    Coughlan, J
    [J]. INTERNATIONAL JOURNAL OF COMPUTER VISION, 1997, 22 (03) : 199 - 218
  • [3] Spline-Based Image Registration
    Richard Szeliski
    James Coughlan
    [J]. International Journal of Computer Vision, 1997, 22 : 199 - 218
  • [4] Spline-based elastic image registration with matrix-valued basis functions using landmark and intensity information
    Woerz, Stefan
    Rohr, Karl
    [J]. PATTERN RECOGNITION, PROCEEDINGS, 2007, 4713 : 537 - +
  • [5] Spline-based elastic image registration using solutions of the navier equation
    Woerz, Stefan
    Rohr, Karl
    [J]. MEDICAL IMAGING 2007: IMAGE PROCESSING, PTS 1-3, 2007, 6512
  • [6] A class of spline functions for landmark-based image registration
    Allasia, G.
    Cavoretto, R.
    De Rossi, A.
    [J]. MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2012, 35 (08) : 923 - 934
  • [7] Algorithm for spline-based elastic registration in application to confocal images of gene expression
    Sorzano C.O.S.
    Blagov M.S.
    Thévenaz P.
    Myasnikova E.M.
    Samsonova M.G.
    Unser M.
    [J]. Pattern Recognition and Image Analysis, 2006, 16 (1) : 93 - 96
  • [8] Multi-dimensional spline-based non-rigid image registration
    Viola, Francesco
    Guenther, Drake A.
    Coe, Ryan L.
    Walker, William F.
    [J]. MEDICAL IMAGING 2007: ULTRASONIC IMAGING AND SIGNAL PROCESSING, 2007, 6513
  • [9] Spline-based probabilistic model for anatomical landmark detection
    Izard, Camille
    Jedynak, Bruno
    Stark, Craig E. L.
    [J]. MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2006, PT 1, 2006, 4190 : 849 - 856
  • [10] Spline-Based Hybrid Image Registration using Landmark and Intensity Information based on Matrix-Valued Non-radial Basis Functions
    Stefan Wörz
    Karl Rohr
    [J]. International Journal of Computer Vision, 2014, 106 : 76 - 92