Time-dependent joint probability speed function for level-set segmentation of rat brain slices

Christoph Palm; Uwe Pietrzyk

doi:10.1117/12.770673

11 March 2008 Time-dependent joint probability speed function for level-set segmentation of rat brain slices

Christoph Palm, Uwe Pietrzyk

Proceedings Volume 6914, Medical Imaging 2008: Image Processing; 69143U (2008) https://doi.org/10.1117/12.770673
Event: Medical Imaging, 2008, San Diego, California, United States

Abstract

Introduction - The segmentation of rat brain slices suffers from illumination inhomogeneities and staining effects. State-of-the-art level-set methods model slice and background with intensity mixture densities defining the speed function as difference between the respective probabilites. Nevertheless, the overlap of these distributions causes an inaccurate stopping at the slice border. In this work, we propose the characterisation of the border area with intensity pairs for inside and outside estimating joint intensity probabilities. Method - In contrast to global object and background models, we focus on the object border characterised by a joint mixture density. This specifies the probability of the occurance of an inside and an outside value in direct adjacency. These values are not known beforehand, because inside and outside depend on the level-set evolution and change during time. Therefore, the speed function is computed time-dependently at the position of the current zero level-set. Along this zero level-set curve, the inside and outside values are derived as mean along the curvature normal directing inside and outside the object. Advantage of the joint probability distribution is to resolve the distribution overlaps, because these are assumed to be not located at the same border position. Results - The novel time-dependent joint probability based speed function is compared expermimentally with single probability based speed functions. Two rat brains with about 40 slices are segmented and the results analysed using manual segmentations and the Tanimoto overlap measure. Improved results are recognised for both data sets.

Citation Download Citation

Christoph Palm and Uwe Pietrzyk "Time-dependent joint probability speed function for level-set segmentation of rat brain slices", Proc. SPIE 6914, Medical Imaging 2008: Image Processing, 69143U (11 March 2008); https://doi.org/10.1117/12.770673

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Image segmentation

Brain

Visualization

Image processing

Medical imaging

Neuroimaging

Beryllium

Show All Keywords

Keywords/Phrases

Search In:

Publication Years