Consistent estimation of shape parameters in statistical shape model by symmetric EM algorithm

Kaikai Shen; Pierrick Bourgeat; Jurgen Fripp; Fabrice Meriaudeau; Olivier Salvado

doi:10.1117/12.911746

14 February 2012 Consistent estimation of shape parameters in statistical shape model by symmetric EM algorithm

Kaikai Shen, Pierrick Bourgeat, Jurgen Fripp, Fabrice Meriaudeau, Olivier Salvado

Proceedings Volume 8314, Medical Imaging 2012: Image Processing; 83140R (2012) https://doi.org/10.1117/12.911746
Event: SPIE Medical Imaging, 2012, San Diego, California, United States

Abstract

In order to fit an unseen surface using statistical shape model (SSM), a correspondence between the unseen surface and the model needs to be established, before the shape parameters can be estimated based on this correspondence. The correspondence and parameter estimation problem can be modeled probabilistically by a Gaussian mixture model (GMM), and solved by expectation-maximization iterative closest points (EM-ICP) algorithm. In this paper, we propose to exploit the linearity of the principal component analysis (PCA) based SSM, and estimate the parameters for the unseen shape surface under the EM-ICP framework. The symmetric data terms are devised to enforce the mutual consistency between the model reconstruction and the shape surface. The a priori shape information encoded in the SSM is also included as regularization. The estimation method is applied to the shape modeling of the hippocampus using a hippocampal SSM.

Citation Download Citation

Kaikai Shen, Pierrick Bourgeat, Jurgen Fripp, Fabrice Meriaudeau, and Olivier Salvado "Consistent estimation of shape parameters in statistical shape model by symmetric EM algorithm", Proc. SPIE 8314, Medical Imaging 2012: Image Processing, 83140R (14 February 2012); https://doi.org/10.1117/12.911746

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