Share Email Print
cover

Proceedings Paper

Validation of a nonrigid registration framework that accommodates tissue resection
Author(s): Petter Risholm; Eigil Samset; William Wells
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

We present a 3D extension and validation of an intra-operative registration framework that accommodates tissue resection. The framework is based on the bijective Demons method, but instead of regularizing with the traditional Gaussian smoother, we apply an anisotropic diffusion filter with the resection modeled as a diffusion sink. The diffusion sink prevents unwanted Demon forces that originates from the resected area from diffusing into the surrounding area. Another attractive property of the diffusion sink is the resulting continuous deformation field across the diffusion sink boundary, which allows us to move the boundary of the diffusion sink without changing values in the deformation field. The area of resection is estimated by a level-set method evolving in the space of image intensity disagreements in the intra-operative image domain. A product of using the bijective Demons method is that we can also provide an accurate estimate of the resected tissue in the preoperative image space. Validation of the proposed method was performed on a set of 25 synthetic images. Our experiments show a significant improvement in accommodating resection using the proposed method compared to two other Demons based methods.

Paper Details

Date Published: 13 March 2010
PDF: 11 pages
Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 762319 (13 March 2010); doi: 10.1117/12.844302
Show Author Affiliations
Petter Risholm, Harvard Medical School (United States)
Univ. of Oslo (Norway)
Eigil Samset, Univ. of Oslo (Norway)
William Wells, Harvard Medical School (United States)


Published in SPIE Proceedings Vol. 7623:
Medical Imaging 2010: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)

© SPIE. Terms of Use
Back to Top