Bayesian segmentation of multislice brain magnetic resonance imaging using three-dimensional Gibbsian priors

Michael M. Chang; M. Ibrahim Sezan; A. Murat Tekalp; Michel J. Berg

doi:10.1117/1.601059

1 November 1996 Bayesian segmentation of multislice brain magnetic resonance imaging using three-dimensional Gibbsian priors

Michael M. Chang, M. Ibrahim Sezan, A. Murat Tekalp, Michel J. Berg

Author Affiliations +

Optical Engineering, Vol. 35, Issue 11, (November 1996). https://doi.org/10.1117/1.601059

We propose a maximum a posteriori probability (MAP) method, which features 3-D Gibbsian priors and the highest confidence first (HCF) optimization method, for segmentation of cross-sectional images through a 3-D volume. The proposed algorithm has been successfully applied to segmentation of clinical magnetic resonance imaging (MRI) data on the human brain. Modeling the a priori probability of the segmentation by a 3-D Gibbs random field (GRF) imposes connectivity and smoothness constraints on the desired segmentation in all three directions. HCF is a recently proposed optimization method, which proves superior to other existing methods in this application. We discuss several implementation issues, including the effects of varying parameter values on algorithm performance. Experimental results with both phantoms and clinical MR data show that our proposed approach improves on existing methods in delineation of the cerebral cortex, deep nuclei (such as the caudate and hippocampi),

Citation Download Citation

Michael M. Chang, M. Ibrahim Sezan, A. Murat Tekalp, and Michel J. Berg "Bayesian segmentation of multislice brain magnetic resonance imaging using three-dimensional Gibbsian priors," Optical Engineering 35(11), (1 November 1996). https://doi.org/10.1117/1.601059

Published: 1 November 1996

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