A prioritized and adaptive approach to volumetric seeded region growing using texture descriptors

Nathan J. Backman; Brian W. Whitney; Jacob D. Furst; Daniela S. Raicu

doi:10.1117/12.650928

2 February 2006 A prioritized and adaptive approach to volumetric seeded region growing using texture descriptors

Nathan J. Backman, Brian W. Whitney, Jacob D. Furst, Daniela S. Raicu

Proceedings Volume 6065, Computational Imaging IV; 60651A (2006) https://doi.org/10.1117/12.650928
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

Abstract

The performance of segmentation algorithms often depends on numerous parameters such as initial seed and contour placement, threshold selection, and other region-dependent a priori knowledge. While necessary for successful segmentation, appropriate setting of these parameters can be difficult to achieve and requires a user experienced with the algorithm and knowledge of the application field. In order to overcome these difficulties, we propose a prioritized and adaptive volumetric region growing algorithm which will automatically segment a region of interest while simultaneously developing a stopping criterion. This algorithm utilizes volumetric texture extraction to establish the homogeneity criterion by which the analysis of the aggregating voxel similarities will, over time, define region boundaries. Using our proposed approach on a volume, derived from Computed Tomography (CT) images of the abdomen, we segmented three organs of interest (liver, kidney and spleen). We find that this algorithm is capable of providing excellent volumetric segmentations while also demanding significantly less user intervention than other techniques as it requires only one interaction from the user, namely the selection of a single seed voxel.

Citation Download Citation

Nathan J. Backman, Brian W. Whitney, Jacob D. Furst, and Daniela S. Raicu "A prioritized and adaptive approach to volumetric seeded region growing using texture descriptors", Proc. SPIE 6065, Computational Imaging IV, 60651A (2 February 2006); https://doi.org/10.1117/12.650928

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