Geostatistical Medical Image Registration

Topics:
Healthcare Products
Tags:
Engineering,
Registration,
Springer Science+Business Media
Source:
Springer Science+Business Media

FREE Registration is required

Overview: This paper proposes a novel approach to landmark-based medical image registration based on the geostatical method of Kriging prediction. This method exploits the spatial statistical relation between two images, as estimated using general purpose registration algorithms, in order to construct an optimum predictor of the displacement field. High accuracy is achieved by using an estimated spatial model of the displacement field directly from the image data, while practically circumventing the difficulties that prevented Kriging from being widely used in image registration.

(Is this item miscategorized? Does it need more tags? Let us know.)

Format: PDF | Size: 437KB | Date: Nov 2003 | Pages: 8


advertisement
advertisement
  • Click Here
  • Click Here
  • Click Here
advertisement

Returning users: Log In Here!

Already registered on BNET, TechRepublic, or ZDNet? Simply log in.

Free Membership: Sign Up Now!

Sign up for a free membership today and get instant and unlimited access to one of the largest databases of white papers, webcasts, and casestudies anywhere. Your FREE membership allows you to:

  • Download an unlimited amount of content, including classic and current white papers, case studies, webcasts and more
  • Track content on your chosen topics of interest
  • Receive targeted email alerts when your favorite content is added
  • Save content for future reading
  • Receive our member newsletter

When you register to access this directory, you become a member of BNET. In addition, you allow us to share your information with companies that produce products or services featured in the library--so that such companies may contact you with information and offers regarding their products and services. This enables us to keep the library a free service. As a directory registrant, you will receive a complimentary subscription to the BNET member newsletter, The BNET Report. You can unsubscribe from this newsletter at any time. By clicking the Sign up button, you indicate that you agree to our Terms and Conditions and have read and understand our Privacy Policy (updated).