Hahn D, Hornegger J, Bautz W, Kuwert T, Römer W (2005)
Publication Type: Conference contribution, Conference Contribution
Publication year: 2005
Original Authors: Hahn D., Hornegger J., Bautz W., Kuwert T., Römer W.
Book Volume: 5747
Pages Range: 151-162
Event location: San Diego, CA
Journal Issue: null
DOI: 10.1117/12.594577
The evaluation of tumor growth as regression under therapy is an important clinical issue. Rigid registration of sequentially acquired SD-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.
APA:
Hahn, D., Hornegger, J., Bautz, W., Kuwert, T., & Römer, W. (2005). Unbiased rigid registration using transfer functions. In Fitzpatrick J.M.Reinhardt J.M. (Eds.), Proceedings of the Medical Imaging 2005 - Image Processing (pp. 151-162). San Diego, CA.
MLA:
Hahn, Dieter, et al. "Unbiased rigid registration using transfer functions." Proceedings of the Medical Imaging 2005 - Image Processing, San Diego, CA Ed. Fitzpatrick J.M.Reinhardt J.M., 2005. 151-162.
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