Edge information at landmarks in medical images

Fred L. Bookstein; William D. K. Green

doi:10.1117/12.131082

22 September 1992 Edge information at landmarks in medical images

Fred L. Bookstein, William D. K. Green

Proceedings Volume 1808, Visualization in Biomedical Computing '92; (1992) https://doi.org/10.1117/12.131082
Event: Visualization in Biomedical Computing, 1992, Chapel Hill, NC, United States

Abstract

In many current medical applications of image analysis, objects are detected and delimited by boundary curves or surfaces. Yet the most effective multivariate statistics available pertain to labelled points (`landmarks') only. In the finite-dimensional feature space that landmarks support, each case of a data set is equivalent to a deformation map deriving it from the average form. This paper reviews a recent extension of a spline-based approach so as to incorporate edge information, and extends it further to apply to images that incorporate landmarks. In this implementation, edgels are restricted to landmark loci: they are interpreted as pairs of landmarks at infinitesimal separation in a specific direction. To shears of these infinitesimal edgels correspond well-defined incremental deformations of the entire image. There results a very flexible new strategy for normalizing the geometry of a specimen scene before representing its grey levels as functions of position. Applications of this strategy will include more powerful approaches to picture averaging and more precise visualizations of biological processes that affect the shapes of medical images, their content, or both.

Citation Download Citation

Fred L. Bookstein and William D. K. Green "Edge information at landmarks in medical images", Proc. SPIE 1808, Visualization in Biomedical Computing '92, (22 September 1992); https://doi.org/10.1117/12.131082

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