Share Email Print
cover

Proceedings Paper

Unbiased rigid registration using transfer functions
Author(s): Dieter A. Hahn; Joachim Hornegger; Werner Bautz; Torsten Kuwert; Wolfgang Roemer
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The evaluation of tumor growth as regression under therapy is an important clinical issue. Rigid registration of sequentially acquired 3D-images has proven its value for this purpose. Existing approaches to rigid image registration use the whole volume for the estimation of the rigid transform. Non-rigid soft tissue deformation, however, will imply a bias to the registration result, because local deformations cannot be modeled by rigid transforms. Anatomical substructures, like bones or teeth, are not affected by these deformations, but follow a rigid transform. This important observation is incorporated in the proposed registration algorithm. The selection of anatomical substructure is done by manual interaction of medical experts adjusting the transfer function of the volume rendering software. The parameters of the transfer function are used to identify the voxels that are considered for registration. A rigid transform is estimated by a quaternion gradient descent algorithm based on the intensity values of the specified tissue classes. Commonly used voxel intensity measures are adjusted to the modified registration algorithm. The contribution describes the mathematical framework of the proposed registration method and its implementation in a commercial software package. The experimental evaluation includes the discussion of different similarity measures, the comparison of the proposed method to established rigid registration techniques and the evaluation of the efficiency of the new method. We conclude with the discussion of potential medical applications of the proposed registration algorithm.

Paper Details

Date Published: 29 April 2005
PDF: 12 pages
Proc. SPIE 5747, Medical Imaging 2005: Image Processing, (29 April 2005); doi: 10.1117/12.594577
Show Author Affiliations
Dieter A. Hahn, Friedrich-Alexander Univ. Erlangen-Nuernberg (Germany)
Joachim Hornegger, Friedrich-Alexander Univ. Erlangen-Nuernberg (Germany)
Werner Bautz, Friedrich-Alexander Univ. Erlangen-Nuernberg (Germany)
Torsten Kuwert, Friedrich-Alexander Univ. Erlangen-Nuernberg (Germany)
Wolfgang Roemer, Friedrich-Alexander Univ. Erlangen-Nuernberg (Germany)


Published in SPIE Proceedings Vol. 5747:
Medical Imaging 2005: Image Processing
J. Michael Fitzpatrick; Joseph M. Reinhardt, Editor(s)

© SPIE. Terms of Use
Back to Top