Conditional statistical model building

Mads Fogtmann Hansen; Michael Sass Hansen; Rasmus Larsen

doi:10.1117/12.771079

11 March 2008 Conditional statistical model building

Mads Fogtmann Hansen, Michael Sass Hansen, Rasmus Larsen

Proceedings Volume 6914, Medical Imaging 2008: Image Processing; 691410 (2008) https://doi.org/10.1117/12.771079
Event: Medical Imaging, 2008, San Diego, California, United States

Abstract

We present a new statistical deformation model suited for parameterized grids with different resolutions. Our method models the covariances between multiple grid levels explicitly, and allows for very efficient fitting of the model to data on multiple scales. The model is validated on a data set consisting of 62 annotated MR images of Corpus Callosum. One fifth of the data set was used as a training set, which was non-rigidly registered to each other without a shape prior. From the non-rigidly registered training set a shape prior was constructed by performing principal component analysis on each grid level and using the results to construct a conditional shape model, conditioning the finer parameters with the coarser grid levels. The remaining shapes were registered with the constructed shape prior. The dice measures for the registration without prior and the registration with a prior were 0.875 ± 0.042 and 0.8615 ± 0.051, respectively.

Citation Download Citation

Mads Fogtmann Hansen, Michael Sass Hansen, and Rasmus Larsen "Conditional statistical model building", Proc. SPIE 6914, Medical Imaging 2008: Image Processing, 691410 (11 March 2008); https://doi.org/10.1117/12.771079

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