Improving an affine and non-linear image registration and/or segmentation task by incorporating characteristics of the displacement field

Konstantin Ens; Stefan Heldmann; Jan Modersitzki; Bernd Fischer

doi:10.1117/12.811139

27 March 2009 Improving an affine and non-linear image registration and/or segmentation task by incorporating characteristics of the displacement field

Konstantin Ens, Stefan Heldmann, Jan Modersitzki, Bernd Fischer

Author Affiliations +

Proceedings Volume 7259, Medical Imaging 2009: Image Processing; 725932 (2009) https://doi.org/10.1117/12.811139
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

Image registration is an important and active area of medical image processing. Given two images, the idea is to compute a reasonable displacement field which deforms one image such that it becomes similar to the other image. The design of an automatic registration scheme is a tricky task and often the computed displacement field has to be discarded, when the outcome is not satisfactory. On the other hand, however, any displacement field does contain useful information on the underlying images. It is the idea of this note, to utilize this information and to benefit from an even unsuccessful attempt for the subsequent treatment of the images. Here, we make use of typical vector analysis operators like the divergence and curl operator to identify meaningful portions of the displacement field to be used in a follow-up run. The idea is illustrated with the help of academic as well as a real life medical example. It is demonstrated on how the novel methodology may be used to substantially improve a registration result and to solve a difficult segmentation problem.

Citation Download Citation

Konstantin Ens, Stefan Heldmann, Jan Modersitzki, and Bernd Fischer "Improving an affine and non-linear image registration and/or segmentation task by incorporating characteristics of the displacement field", Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 725932 (27 March 2009); https://doi.org/10.1117/12.811139

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