Hierarchical segmentation of malignant gliomas via integrated contextual filter response

Shishir Dube; Jason J. Corso; Alan Yuille; Timothy F. Cloughesy; Suzie El-Saden M.D.; Usha Sinha

doi:10.1117/12.770769

26 March 2008 Hierarchical segmentation of malignant gliomas via integrated contextual filter response

Shishir Dube, Jason J. Corso, Alan Yuille, Timothy F. Cloughesy, Suzie El-Saden M.D., Usha Sinha

Proceedings Volume 6914, Medical Imaging 2008: Image Processing; 69143Y (2008) https://doi.org/10.1117/12.770769
Event: Medical Imaging, 2008, San Diego, California, United States

Abstract

We present a novel methodology for the automated segmentation of Glioblastoma Multiforme tumors given only a high-resolution T1 post-contrast enhanced channel, which is routinely done in clinical MR acquisitions. The main contribution of the paper is the integration of contextual filter responses, to obtain a better class separation of abnormal and normal brain tissues, into the multilevel segmentation by weighted aggregation (SWA) algorithm. The SWA algorithm uses neighboring voxel intensities to form an affinity between the respective voxels. The affinities are then recursively computed for all the voxel pairs in the given image and a series of cuts are made to produce segments that contain voxels with similar intensity properties. SWA provides a fast method of partitioning the image, but does not produce segments with meaning. Thus, a contextual filter response component was integrated to label the aggregates as tumor or non-tumor. The contextual filter responses were computed via texture filter responses based on the gray level co-occurrence matrix (GLCM) method. The GLCM results in texture features that are used to quantify the visual appearance of the tumor versus normal tissue. Our results indicate the benefit of incorporating contextual features and applying non-linear classification methods to segment and classify the complex case of grade 4 tumors.

Citation Download Citation

Shishir Dube, Jason J. Corso, Alan Yuille, Timothy F. Cloughesy, Suzie El-Saden M.D., and Usha Sinha "Hierarchical segmentation of malignant gliomas via integrated contextual filter response", Proc. SPIE 6914, Medical Imaging 2008: Image Processing, 69143Y (26 March 2008); https://doi.org/10.1117/12.770769

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