Point landmarks for registration of CT and MR images

We propose here a point landmark based registration method utilizing geometric invariance properties of biomedical images. These point landmarks constitute entrance and exit points of concavities of individual structures and points of inflexion of curves, derived from the convex hull. Registration is performed in a canonical frame of reference. This technique is fast, semi-automatic and computationally inexpensive.

[1]  Max A. Viergever,et al.  Automatic registration of CT and MR brain images using correlation of geometrical features , 1995, IEEE Trans. Medical Imaging.

[2]  David A. Forsyth,et al.  Canonical Frames for Planar Object Recognition , 1992, ECCV.

[3]  G. T. Bartoo,et al.  Multi-modality image registration using centroid mapping , 1989, Images of the Twenty-First Century. Proceedings of the Annual International Engineering in Medicine and Biology Society,.

[4]  M. Viergever,et al.  Medical image matching-a review with classification , 1993, IEEE Engineering in Medicine and Biology Magazine.

[5]  Marc Kessler,et al.  STRUCTURE TRANSFER BETWEEN SETS OF THREE DIMENSIONAL MEDICAL IMAGING DATA. , 1985 .

[6]  Andrew Zisserman,et al.  Shape from symmetry: detecting and exploiting symmetry in affine images , 1995, Philosophical Transactions of the Royal Society of London. Series A: Physical and Engineering Sciences.

[7]  Nicholas Ayache,et al.  Automatic registration of 3D images using surface curvature , 1992, Optics & Photonics.

[8]  Linda L. Fellingham,et al.  Correlation Of 3D Surfaces From Multiple Modalities In Medical Imaging , 1986, Other Conferences.

[9]  Dana H. Ballard,et al.  Computer Vision , 1982 .

[10]  F H Boehm The medical expert. , 1986, American journal of perinatology.

[11]  Guy Marchal,et al.  Registration of 3D multi-modality medical images using surfaces and point landmarks , 1994, Pattern Recognit. Lett..

[12]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[13]  R. Boesecke,et al.  Landmark based correlation of medical images , 1990 .

[14]  D. Hill,et al.  Registration of MR and CT images for skull base surgery using point-like anatomical features. , 1991, The British journal of radiology.

[15]  K. S. Arun,et al.  Least-Squares Fitting of Two 3-D Point Sets , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[16]  C. Pelizzari,et al.  Accurate Three‐Dimensional Registration of CT, PET, and/or MR Images of the Brain , 1989, Journal of computer assisted tomography.