Radial subsampling for fast cost function computation in intensity-based 3D image registration

Thomas Boettger; Ivo Wolf; Hans-Peter Meinzer; Juan Carlos Celi

doi:10.1117/12.708145

8 March 2007 Radial subsampling for fast cost function computation in intensity-based 3D image registration

Thomas Boettger, Ivo Wolf, Hans-Peter Meinzer, Juan Carlos Celi

Proceedings Volume 6512, Medical Imaging 2007: Image Processing; 651222 (2007) https://doi.org/10.1117/12.708145
Event: Medical Imaging, 2007, San Diego, CA, United States

Abstract

Image registration is always a trade-off between accuracy and speed. Looking towards clinical scenarios the time for bringing two or more images into registration should be around a few seconds only. We present a new scheme for subsampling 3D-image data to allow for efficient computation of cost functions in intensity-based image registration. Starting from an arbitrary center point voxels are sampled along scan lines which do radially extend from the center point. We analyzed the characteristics of different cost functions computed on the sub-sampled data and compared them to known cost functions with respect to local optima. Results show the cost functions are smooth and give high peaks at the expected optima. Furthermore we investigated capture range of cost functions computed under the new subsampling scheme. Capture range was remarkably better for the new scheme compared to metrics using all voxels or different subsampling schemes and high registration accuracy was achieved as well. The most important result is the improvement in terms of speed making this scheme very interesting for clinical scenarios. We conclude using the new subsampling scheme intensity-based 3D image registration can be performed much faster than using other approaches while maintaining high accuracy. A variety of different extensions of the new approach is conceivable, e.g. non-regular distribution of the scan lines or not to let the scan lines start from a center point only, but from the surface of an organ model for example.

Citation Download Citation

Thomas Boettger, Ivo Wolf, Hans-Peter Meinzer, and Juan Carlos Celi "Radial subsampling for fast cost function computation in intensity-based 3D image registration", Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 651222 (8 March 2007); https://doi.org/10.1117/12.708145

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Image registration

3D image processing

Lung

Image resolution

Image restoration

Computed tomography

Data centers

Show All Keywords

Keywords/Phrases

Search In:

Publication Years