Non-stationary diffeomorphic registration: application to endo-vascular treatment monitoring

M. De Craene; O. Camara; B. Bijnens; A. F. Frangi

doi:10.1117/12.812932

27 March 2009 Non-stationary diffeomorphic registration: application to endo-vascular treatment monitoring

M. De Craene, O. Camara, B. Bijnens, A. F. Frangi

Proceedings Volume 7259, Medical Imaging 2009: Image Processing; 72591F (2009) https://doi.org/10.1117/12.812932
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

This paper proposes a new pairwise registration algorithm called Large Diffeomorphic Free-Form Deformation (LDFFD). In the LDFFD algorithm, the diffeomorphic mapping is represented as a composition of Free-Form Deformation (FFD) transformations at each time step, all time steps being jointly optimized. The fact that the transformation at one time step influences all subsequent time steps, naturally enforces temporal consistency in the transformation compared to other existing diffeomorphic registration algorithms and does not restrict the space of solutions to stationary displacement fields over all time steps. A multiresolution strategy is presented to find the optimal number of time steps and solve efficiently the joint optimization of all transformations in the registration chain. Accuracy of the algorithm in the presence of large deformations is illustrated and compared to other standard or diffeomorphic registration algorithms. Our algorithm is applied here in the context of monitoring disease progression by image-based quantification of aneurysmal growth post endovascular treatment. In this context, aneurysm volume changes occurring after embolization are quantified by integrating the Jacobian of the diffeomorphic transformation between 3D rotational angiography images acquired at subsequent followups.

Citation Download Citation

M. De Craene, O. Camara, B. Bijnens, and A. F. Frangi "Non-stationary diffeomorphic registration: application to endo-vascular treatment monitoring", Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 72591F (27 March 2009); https://doi.org/10.1117/12.812932

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