Validation of a nonrigid registration framework that accommodates tissue resection

Petter Risholm; Eigil Samset; William Wells III

doi:10.1117/12.844302

12 March 2010 Validation of a nonrigid registration framework that accommodates tissue resection

Petter Risholm, Eigil Samset, William Wells III

Proceedings Volume 7623, Medical Imaging 2010: Image Processing; 762319 (2010) https://doi.org/10.1117/12.844302
Event: SPIE Medical Imaging, 2010, San Diego, California, United States

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.

Citation Download Citation

Petter Risholm, Eigil Samset, and William Wells III "Validation of a nonrigid registration framework that accommodates tissue resection", Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 762319 (12 March 2010); https://doi.org/10.1117/12.844302

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available